BranchesTags

Repository files navigation

brainz

brainz

Experimental project to understand the working of a FFNN

Alt text

Goal:

Measure/Analyze user behavior before he sends an order to the accountant. Try to predict if my brain can see when he would send it to the accountant. And try to predict if the order will get changed

Input:

Input before of a user sends his order to the accountant

  • 1: Order payed (1 or 0)
  • 2: Number of how many times the status of the order gets changed (Normal system usage will give us a number between 0 and 0.1 but higher values are posible)
  • 3: Order send to 3th party shipping (1 or 0)
  • 4: Number of how many times the order has changed Name,Address,Postal data (Normal system usage will give us a number between 0 and 0.1. 1 change = 0.01. 1 means 100 times (max))
  • 5: Number of how many times the order has changed order rows (Normal system usage will give us a number between 0 and 0.1. 1 change = 0.01. 1 means 100 times (max))
  • 6: Number of how many order rows added to the order (Normal system usage will give us a number between 0 and 0.1. 1 change = 0.01. 1 means 100 times (max))

Output:

  • 1: Chance that the order will be send to the accountant (Value between 0 and 1)
  • 2: Percentage of completeness. (Value between 0 and 1, 1 means that that the order won't be changed and 0 means that the order most certainly will be changed)

What do we watch?

If an oder is paid and is send off to the shipping party then most likely:

  • 1 - The order can go to the accountant
  • 2 - The order won't be changed

Requerements

  • Python 3.6
  • PyQT5

Installation (Windows).

  • PyQT5 can be added in PyCharm as an module by the interperter settings

Using the socket server.

There is a basic socket server available when starting the GUI mode. This is for handing incoming messages to train the network. Or to compute.

Send a message like this to assigned port (default 1337) {"command": "learn", "input": [1,1], "expectedOutput": [0]}\0

There is nothing in the socket module to determine the end of the message as they just implement a low level pipe. So zero terminate your string

Available commands:

  • learn
    • {"command": "learn", "input": [1,1], "expectedOutput": [0]}\0
  • compute
    • {"command": "compute", "input": [0,1], "expectedOutput": [1]}\0

About

brainz

Topics

ffnnneural-networkspyqt4python

Resources

Readme
GPL-3.0 license
Activity

Stars

0 stars

Watchers

3 watching

Forks

0 forks
Report repository

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all \u003cpre\u003e\u003ccode\u003e blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks"); } } catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); } })(); (function(){ try { var __m = "github.com"; var __re = new RegExp('^' + "github\\.com" + '
Skip to content
BranchesTags

Repository files navigation

brainz

brainz

Experimental project to understand the working of a FFNN

Alt text

Goal:

Measure/Analyze user behavior before he sends an order to the accountant. Try to predict if my brain can see when he would send it to the accountant. And try to predict if the order will get changed

Input:

Input before of a user sends his order to the accountant

  • 1: Order payed (1 or 0)
  • 2: Number of how many times the status of the order gets changed (Normal system usage will give us a number between 0 and 0.1 but higher values are posible)
  • 3: Order send to 3th party shipping (1 or 0)
  • 4: Number of how many times the order has changed Name,Address,Postal data (Normal system usage will give us a number between 0 and 0.1. 1 change = 0.01. 1 means 100 times (max))
  • 5: Number of how many times the order has changed order rows (Normal system usage will give us a number between 0 and 0.1. 1 change = 0.01. 1 means 100 times (max))
  • 6: Number of how many order rows added to the order (Normal system usage will give us a number between 0 and 0.1. 1 change = 0.01. 1 means 100 times (max))

Output:

  • 1: Chance that the order will be send to the accountant (Value between 0 and 1)
  • 2: Percentage of completeness. (Value between 0 and 1, 1 means that that the order won't be changed and 0 means that the order most certainly will be changed)

What do we watch?

If an oder is paid and is send off to the shipping party then most likely:

  • 1 - The order can go to the accountant
  • 2 - The order won't be changed

Requerements

  • Python 3.6
  • PyQT5

Installation (Windows).

  • PyQT5 can be added in PyCharm as an module by the interperter settings

Using the socket server.

There is a basic socket server available when starting the GUI mode. This is for handing incoming messages to train the network. Or to compute.

Send a message like this to assigned port (default 1337) {"command": "learn", "input": [1,1], "expectedOutput": [0]}\0

There is nothing in the socket module to determine the end of the message as they just implement a low level pipe. So zero terminate your string

Available commands:

  • learn
    • {"command": "learn", "input": [1,1], "expectedOutput": [0]}\0
  • compute
    • {"command": "compute", "input": [0,1], "expectedOutput": [1]}\0

About

brainz

Topics

ffnnneural-networkspyqt4python

Resources

Readme
GPL-3.0 license
Activity

Stars

0 stars

Watchers

3 watching

Forks

0 forks
Report repository

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix"); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content
BranchesTags

Repository files navigation

brainz

brainz

Experimental project to understand the working of a FFNN

Alt text

Goal:

Measure/Analyze user behavior before he sends an order to the accountant. Try to predict if my brain can see when he would send it to the accountant. And try to predict if the order will get changed

Input:

Input before of a user sends his order to the accountant

  • 1: Order payed (1 or 0)
  • 2: Number of how many times the status of the order gets changed (Normal system usage will give us a number between 0 and 0.1 but higher values are posible)
  • 3: Order send to 3th party shipping (1 or 0)
  • 4: Number of how many times the order has changed Name,Address,Postal data (Normal system usage will give us a number between 0 and 0.1. 1 change = 0.01. 1 means 100 times (max))
  • 5: Number of how many times the order has changed order rows (Normal system usage will give us a number between 0 and 0.1. 1 change = 0.01. 1 means 100 times (max))
  • 6: Number of how many order rows added to the order (Normal system usage will give us a number between 0 and 0.1. 1 change = 0.01. 1 means 100 times (max))

Output:

  • 1: Chance that the order will be send to the accountant (Value between 0 and 1)
  • 2: Percentage of completeness. (Value between 0 and 1, 1 means that that the order won't be changed and 0 means that the order most certainly will be changed)

What do we watch?

If an oder is paid and is send off to the shipping party then most likely:

  • 1 - The order can go to the accountant
  • 2 - The order won't be changed

Requerements

  • Python 3.6
  • PyQT5

Installation (Windows).

  • PyQT5 can be added in PyCharm as an module by the interperter settings

Using the socket server.

There is a basic socket server available when starting the GUI mode. This is for handing incoming messages to train the network. Or to compute.

Send a message like this to assigned port (default 1337) {"command": "learn", "input": [1,1], "expectedOutput": [0]}\0

There is nothing in the socket module to determine the end of the message as they just implement a low level pipe. So zero terminate your string

Available commands:

  • learn
    • {"command": "learn", "input": [1,1], "expectedOutput": [0]}\0
  • compute
    • {"command": "compute", "input": [0,1], "expectedOutput": [1]}\0

About

brainz

Topics

ffnnneural-networkspyqt4python

Resources

Readme
GPL-3.0 license
Activity

Stars

0 stars

Watchers

3 watching

Forks

0 forks
Report repository

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length \u003e 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms"); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content
BranchesTags

Repository files navigation

brainz

brainz

Experimental project to understand the working of a FFNN

Alt text

Goal:

Measure/Analyze user behavior before he sends an order to the accountant. Try to predict if my brain can see when he would send it to the accountant. And try to predict if the order will get changed

Input:

Input before of a user sends his order to the accountant

  • 1: Order payed (1 or 0)
  • 2: Number of how many times the status of the order gets changed (Normal system usage will give us a number between 0 and 0.1 but higher values are posible)
  • 3: Order send to 3th party shipping (1 or 0)
  • 4: Number of how many times the order has changed Name,Address,Postal data (Normal system usage will give us a number between 0 and 0.1. 1 change = 0.01. 1 means 100 times (max))
  • 5: Number of how many times the order has changed order rows (Normal system usage will give us a number between 0 and 0.1. 1 change = 0.01. 1 means 100 times (max))
  • 6: Number of how many order rows added to the order (Normal system usage will give us a number between 0 and 0.1. 1 change = 0.01. 1 means 100 times (max))

Output:

  • 1: Chance that the order will be send to the accountant (Value between 0 and 1)
  • 2: Percentage of completeness. (Value between 0 and 1, 1 means that that the order won't be changed and 0 means that the order most certainly will be changed)

What do we watch?

If an oder is paid and is send off to the shipping party then most likely:

  • 1 - The order can go to the accountant
  • 2 - The order won't be changed

Requerements

  • Python 3.6
  • PyQT5

Installation (Windows).

  • PyQT5 can be added in PyCharm as an module by the interperter settings

Using the socket server.

There is a basic socket server available when starting the GUI mode. This is for handing incoming messages to train the network. Or to compute.

Send a message like this to assigned port (default 1337) {"command": "learn", "input": [1,1], "expectedOutput": [0]}\0

There is nothing in the socket module to determine the end of the message as they just implement a low level pipe. So zero terminate your string

Available commands:

  • learn
    • {"command": "learn", "input": [1,1], "expectedOutput": [0]}\0
  • compute
    • {"command": "compute", "input": [0,1], "expectedOutput": [1]}\0

About

brainz

Topics

ffnnneural-networkspyqt4python

Resources

Readme
GPL-3.0 license
Activity

Stars

0 stars

Watchers

3 watching

Forks

0 forks
Report repository

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links"); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
Skip to content
BranchesTags

Repository files navigation

brainz

brainz

Experimental project to understand the working of a FFNN

Alt text

Goal:

Measure/Analyze user behavior before he sends an order to the accountant. Try to predict if my brain can see when he would send it to the accountant. And try to predict if the order will get changed

Input:

Input before of a user sends his order to the accountant

  • 1: Order payed (1 or 0)
  • 2: Number of how many times the status of the order gets changed (Normal system usage will give us a number between 0 and 0.1 but higher values are posible)
  • 3: Order send to 3th party shipping (1 or 0)
  • 4: Number of how many times the order has changed Name,Address,Postal data (Normal system usage will give us a number between 0 and 0.1. 1 change = 0.01. 1 means 100 times (max))
  • 5: Number of how many times the order has changed order rows (Normal system usage will give us a number between 0 and 0.1. 1 change = 0.01. 1 means 100 times (max))
  • 6: Number of how many order rows added to the order (Normal system usage will give us a number between 0 and 0.1. 1 change = 0.01. 1 means 100 times (max))

Output:

  • 1: Chance that the order will be send to the accountant (Value between 0 and 1)
  • 2: Percentage of completeness. (Value between 0 and 1, 1 means that that the order won't be changed and 0 means that the order most certainly will be changed)

What do we watch?

If an oder is paid and is send off to the shipping party then most likely:

  • 1 - The order can go to the accountant
  • 2 - The order won't be changed

Requerements

  • Python 3.6
  • PyQT5

Installation (Windows).

  • PyQT5 can be added in PyCharm as an module by the interperter settings

Using the socket server.

There is a basic socket server available when starting the GUI mode. This is for handing incoming messages to train the network. Or to compute.

Send a message like this to assigned port (default 1337) {"command": "learn", "input": [1,1], "expectedOutput": [0]}\0

There is nothing in the socket module to determine the end of the message as they just implement a low level pipe. So zero terminate your string

Available commands:

  • learn
    • {"command": "learn", "input": [1,1], "expectedOutput": [0]}\0
  • compute
    • {"command": "compute", "input": [0,1], "expectedOutput": [1]}\0

About

brainz

Topics

ffnnneural-networkspyqt4python

Resources

Readme
GPL-3.0 license
Activity

Stars

0 stars

Watchers

3 watching

Forks

0 forks
Report repository

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default"); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content
BranchesTags

Repository files navigation

brainz

brainz

Experimental project to understand the working of a FFNN

Alt text

Goal:

Measure/Analyze user behavior before he sends an order to the accountant. Try to predict if my brain can see when he would send it to the accountant. And try to predict if the order will get changed

Input:

Input before of a user sends his order to the accountant

  • 1: Order payed (1 or 0)
  • 2: Number of how many times the status of the order gets changed (Normal system usage will give us a number between 0 and 0.1 but higher values are posible)
  • 3: Order send to 3th party shipping (1 or 0)
  • 4: Number of how many times the order has changed Name,Address,Postal data (Normal system usage will give us a number between 0 and 0.1. 1 change = 0.01. 1 means 100 times (max))
  • 5: Number of how many times the order has changed order rows (Normal system usage will give us a number between 0 and 0.1. 1 change = 0.01. 1 means 100 times (max))
  • 6: Number of how many order rows added to the order (Normal system usage will give us a number between 0 and 0.1. 1 change = 0.01. 1 means 100 times (max))

Output:

  • 1: Chance that the order will be send to the accountant (Value between 0 and 1)
  • 2: Percentage of completeness. (Value between 0 and 1, 1 means that that the order won't be changed and 0 means that the order most certainly will be changed)

What do we watch?

If an oder is paid and is send off to the shipping party then most likely:

  • 1 - The order can go to the accountant
  • 2 - The order won't be changed

Requerements

  • Python 3.6
  • PyQT5

Installation (Windows).

  • PyQT5 can be added in PyCharm as an module by the interperter settings

Using the socket server.

There is a basic socket server available when starting the GUI mode. This is for handing incoming messages to train the network. Or to compute.

Send a message like this to assigned port (default 1337) {"command": "learn", "input": [1,1], "expectedOutput": [0]}\0

There is nothing in the socket module to determine the end of the message as they just implement a low level pipe. So zero terminate your string

Available commands:

  • learn
    • {"command": "learn", "input": [1,1], "expectedOutput": [0]}\0
  • compute
    • {"command": "compute", "input": [0,1], "expectedOutput": [1]}\0

About

brainz

Topics

ffnnneural-networkspyqt4python

Resources

Readme
GPL-3.0 license
Activity

Stars

0 stars

Watchers

3 watching

Forks

0 forks
Report repository

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers"); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content
BranchesTags

Repository files navigation

brainz

brainz

Experimental project to understand the working of a FFNN

Alt text

Goal:

Measure/Analyze user behavior before he sends an order to the accountant. Try to predict if my brain can see when he would send it to the accountant. And try to predict if the order will get changed

Input:

Input before of a user sends his order to the accountant

  • 1: Order payed (1 or 0)
  • 2: Number of how many times the status of the order gets changed (Normal system usage will give us a number between 0 and 0.1 but higher values are posible)
  • 3: Order send to 3th party shipping (1 or 0)
  • 4: Number of how many times the order has changed Name,Address,Postal data (Normal system usage will give us a number between 0 and 0.1. 1 change = 0.01. 1 means 100 times (max))
  • 5: Number of how many times the order has changed order rows (Normal system usage will give us a number between 0 and 0.1. 1 change = 0.01. 1 means 100 times (max))
  • 6: Number of how many order rows added to the order (Normal system usage will give us a number between 0 and 0.1. 1 change = 0.01. 1 means 100 times (max))

Output:

  • 1: Chance that the order will be send to the accountant (Value between 0 and 1)
  • 2: Percentage of completeness. (Value between 0 and 1, 1 means that that the order won't be changed and 0 means that the order most certainly will be changed)

What do we watch?

If an oder is paid and is send off to the shipping party then most likely:

  • 1 - The order can go to the accountant
  • 2 - The order won't be changed

Requerements

  • Python 3.6
  • PyQT5

Installation (Windows).

  • PyQT5 can be added in PyCharm as an module by the interperter settings

Using the socket server.

There is a basic socket server available when starting the GUI mode. This is for handing incoming messages to train the network. Or to compute.

Send a message like this to assigned port (default 1337) {"command": "learn", "input": [1,1], "expectedOutput": [0]}\0

There is nothing in the socket module to determine the end of the message as they just implement a low level pipe. So zero terminate your string

Available commands:

  • learn
    • {"command": "learn", "input": [1,1], "expectedOutput": [0]}\0
  • compute
    • {"command": "compute", "input": [0,1], "expectedOutput": [1]}\0

About

brainz

Topics

ffnnneural-networkspyqt4python

Resources

Readme
GPL-3.0 license
Activity

Stars

0 stars

Watchers

3 watching

Forks

0 forks
Report repository

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode"); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })();
Skip to content
BranchesTags

Repository files navigation

brainz

brainz

Experimental project to understand the working of a FFNN

Alt text

Goal:

Measure/Analyze user behavior before he sends an order to the accountant. Try to predict if my brain can see when he would send it to the accountant. And try to predict if the order will get changed

Input:

Input before of a user sends his order to the accountant

  • 1: Order payed (1 or 0)
  • 2: Number of how many times the status of the order gets changed (Normal system usage will give us a number between 0 and 0.1 but higher values are posible)
  • 3: Order send to 3th party shipping (1 or 0)
  • 4: Number of how many times the order has changed Name,Address,Postal data (Normal system usage will give us a number between 0 and 0.1. 1 change = 0.01. 1 means 100 times (max))
  • 5: Number of how many times the order has changed order rows (Normal system usage will give us a number between 0 and 0.1. 1 change = 0.01. 1 means 100 times (max))
  • 6: Number of how many order rows added to the order (Normal system usage will give us a number between 0 and 0.1. 1 change = 0.01. 1 means 100 times (max))

Output:

  • 1: Chance that the order will be send to the accountant (Value between 0 and 1)
  • 2: Percentage of completeness. (Value between 0 and 1, 1 means that that the order won't be changed and 0 means that the order most certainly will be changed)

What do we watch?

If an oder is paid and is send off to the shipping party then most likely:

  • 1 - The order can go to the accountant
  • 2 - The order won't be changed

Requerements

  • Python 3.6
  • PyQT5

Installation (Windows).

  • PyQT5 can be added in PyCharm as an module by the interperter settings

Using the socket server.

There is a basic socket server available when starting the GUI mode. This is for handing incoming messages to train the network. Or to compute.

Send a message like this to assigned port (default 1337) {"command": "learn", "input": [1,1], "expectedOutput": [0]}\0

There is nothing in the socket module to determine the end of the message as they just implement a low level pipe. So zero terminate your string

Available commands:

  • learn
    • {"command": "learn", "input": [1,1], "expectedOutput": [0]}\0
  • compute
    • {"command": "compute", "input": [0,1], "expectedOutput": [1]}\0

About

brainz

Topics

ffnnneural-networkspyqt4python

Resources

Readme
GPL-3.0 license
Activity

Stars

0 stars

Watchers

3 watching

Forks

0 forks
Report repository

Releases

Packages

Contributors

Languages