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Nvolution

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Evolution creature neural network python game

Watch creatures evolve after generations!

Creatures:

  1. Have 1 layer neural network brains (16 neurons total)
  2. Have 13 segment vision segments
  3. Comunicate using scent
  4. Rare mutations
  5. Only the fitest survive
  6. (Deafult neuron ammount is 64, you can set it to whatever you want the neurons to be, lower for worse devices, delete newest.json before updating) Gameplay:
  7. Only right click to make food right now

Other:

  1. A lot of settings
  2. Saves best neural network to newest.json each generation
  3. Saves generation logs to simulation_log.json

Setting example:

SCREEN_WIDTH, SCREEN_HEIGHT = 1000, 650 # Window size
CREATURE_COUNT = 30 CREATURE_LIMIT = 100
FOOD_COUNT = 300
REPRODUCE_ENERGY = 170 # Minimal energy needed for 2 random creatures to reproduce
START_ENERGY = 140 # Energy the creature starts with
SCENT_GRID_SIZE = 20
SCENT_DECAY = 0.95
SCENT_STRENGTH = 17.0
VISION_SEGMENTS = 36
VISION_RANGE = 200
GENERATION_STEPS = 1000 # cycles per generation
SCENT_SPREAD_RADIUS = 6
SCENT_FALLOFF = 1.5
SHOW_SCENT = True
LAYER_NEURONS = 64 # number of neurons for the hidden layer, before changing delete the old model!
MODEL_SAVE_PATH = "newest"

Example photos

imageimageimageimage

About

Evolution creature neural network python game

Topics

aiai-algorithmcreatureeveolution-creatureevolutionmlneural-networkneural-networksneuralnetworkpython

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Readme
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Code of conduct

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
 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" + '

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Nvolution
IssuesForksStarsLicense (Apache 2.0)VersionContributorsDownloadsBuild Status
Evolution creature neural network python game
Watch creatures evolve after generations!
Creatures:
  1. Have 1 layer neural network brains (16 neurons total)
  2. Have 13 segment vision segments
  3. Comunicate using scent
  4. Rare mutations
  5. Only the fitest survive
  6. (Deafult neuron ammount is 64, you can set it to whatever you want the neurons to be, lower for worse devices, delete newest.json before updating)
Gameplay:
  7. Only right click to make food right now
Other:
  1. A lot of settings
  2. Saves best neural network to newest.json each generation
  3. Saves generation logs to simulation_log.json
Setting example:
SCREEN_WIDTH, SCREEN_HEIGHT = 1000, 650 # Window size
CREATURE_COUNT = 30 CREATURE_LIMIT = 100
FOOD_COUNT = 300
REPRODUCE_ENERGY = 170 # Minimal energy needed for 2 random creatures to reproduce
START_ENERGY = 140 # Energy the creature starts with
SCENT_GRID_SIZE = 20
SCENT_DECAY = 0.95
SCENT_STRENGTH = 17.0
VISION_SEGMENTS = 36
VISION_RANGE = 200
GENERATION_STEPS = 1000 # cycles per generation
SCENT_SPREAD_RADIUS = 6
SCENT_FALLOFF = 1.5
SHOW_SCENT = True
LAYER_NEURONS = 64 # number of neurons for the hidden layer, before changing delete the old model!
MODEL_SAVE_PATH = "newest"

Example photos
imageimageimageimage
About
Evolution creature neural network python game
Topics
aiai-algorithmcreatureeveolution-creatureevolutionmlneural-networkneural-networksneuralnetworkpython
Resources
Readme
Apache-2.0 license
Code of conduct
Code of conduct
Security policy
Security policy
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, '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
Nvolution
IssuesForksStarsLicense (Apache 2.0)VersionContributorsDownloadsBuild Status
Evolution creature neural network python game
Watch creatures evolve after generations!
Creatures:
  1. Have 1 layer neural network brains (16 neurons total)
  2. Have 13 segment vision segments
  3. Comunicate using scent
  4. Rare mutations
  5. Only the fitest survive
  6. (Deafult neuron ammount is 64, you can set it to whatever you want the neurons to be, lower for worse devices, delete newest.json before updating)
Gameplay:
  7. Only right click to make food right now
Other:
  1. A lot of settings
  2. Saves best neural network to newest.json each generation
  3. Saves generation logs to simulation_log.json
Setting example:
SCREEN_WIDTH, SCREEN_HEIGHT = 1000, 650 # Window size
CREATURE_COUNT = 30 CREATURE_LIMIT = 100
FOOD_COUNT = 300
REPRODUCE_ENERGY = 170 # Minimal energy needed for 2 random creatures to reproduce
START_ENERGY = 140 # Energy the creature starts with
SCENT_GRID_SIZE = 20
SCENT_DECAY = 0.95
SCENT_STRENGTH = 17.0
VISION_SEGMENTS = 36
VISION_RANGE = 200
GENERATION_STEPS = 1000 # cycles per generation
SCENT_SPREAD_RADIUS = 6
SCENT_FALLOFF = 1.5
SHOW_SCENT = True
LAYER_NEURONS = 64 # number of neurons for the hidden layer, before changing delete the old model!
MODEL_SAVE_PATH = "newest"

Example photos
imageimageimageimage
About
Evolution creature neural network python game
Topics
aiai-algorithmcreatureeveolution-creatureevolutionmlneural-networkneural-networksneuralnetworkpython
Resources
Readme
Apache-2.0 license
Code of conduct
Code of conduct
Security policy
Security policy
Activity
Stars
1 star
Watchers
0 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 > 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
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Nvolution
IssuesForksStarsLicense (Apache 2.0)VersionContributorsDownloadsBuild Status
Evolution creature neural network python game
Watch creatures evolve after generations!
Creatures:
  1. Have 1 layer neural network brains (16 neurons total)
  2. Have 13 segment vision segments
  3. Comunicate using scent
  4. Rare mutations
  5. Only the fitest survive
  6. (Deafult neuron ammount is 64, you can set it to whatever you want the neurons to be, lower for worse devices, delete newest.json before updating)
Gameplay:
  7. Only right click to make food right now
Other:
  1. A lot of settings
  2. Saves best neural network to newest.json each generation
  3. Saves generation logs to simulation_log.json
Setting example:
SCREEN_WIDTH, SCREEN_HEIGHT = 1000, 650 # Window size
CREATURE_COUNT = 30 CREATURE_LIMIT = 100
FOOD_COUNT = 300
REPRODUCE_ENERGY = 170 # Minimal energy needed for 2 random creatures to reproduce
START_ENERGY = 140 # Energy the creature starts with
SCENT_GRID_SIZE = 20
SCENT_DECAY = 0.95
SCENT_STRENGTH = 17.0
VISION_SEGMENTS = 36
VISION_RANGE = 200
GENERATION_STEPS = 1000 # cycles per generation
SCENT_SPREAD_RADIUS = 6
SCENT_FALLOFF = 1.5
SHOW_SCENT = True
LAYER_NEURONS = 64 # number of neurons for the hidden layer, before changing delete the old model!
MODEL_SAVE_PATH = "newest"

Example photos
imageimageimageimage
About
Evolution creature neural network python game
Topics
aiai-algorithmcreatureeveolution-creatureevolutionmlneural-networkneural-networksneuralnetworkpython
Resources
Readme
Apache-2.0 license
Code of conduct
Code of conduct
Security policy
Security policy
Activity
Stars
1 star
Watchers
0 watching
Forks
0 forks
Report repository
Releases
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Contributors
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, '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
Nvolution
IssuesForksStarsLicense (Apache 2.0)VersionContributorsDownloadsBuild Status
Evolution creature neural network python game
Watch creatures evolve after generations!
Creatures:
  1. Have 1 layer neural network brains (16 neurons total)
  2. Have 13 segment vision segments
  3. Comunicate using scent
  4. Rare mutations
  5. Only the fitest survive
  6. (Deafult neuron ammount is 64, you can set it to whatever you want the neurons to be, lower for worse devices, delete newest.json before updating)
Gameplay:
  7. Only right click to make food right now
Other:
  1. A lot of settings
  2. Saves best neural network to newest.json each generation
  3. Saves generation logs to simulation_log.json
Setting example:
SCREEN_WIDTH, SCREEN_HEIGHT = 1000, 650 # Window size
CREATURE_COUNT = 30 CREATURE_LIMIT = 100
FOOD_COUNT = 300
REPRODUCE_ENERGY = 170 # Minimal energy needed for 2 random creatures to reproduce
START_ENERGY = 140 # Energy the creature starts with
SCENT_GRID_SIZE = 20
SCENT_DECAY = 0.95
SCENT_STRENGTH = 17.0
VISION_SEGMENTS = 36
VISION_RANGE = 200
GENERATION_STEPS = 1000 # cycles per generation
SCENT_SPREAD_RADIUS = 6
SCENT_FALLOFF = 1.5
SHOW_SCENT = True
LAYER_NEURONS = 64 # number of neurons for the hidden layer, before changing delete the old model!
MODEL_SAVE_PATH = "newest"

Example photos
imageimageimageimage
About
Evolution creature neural network python game
Topics
aiai-algorithmcreatureeveolution-creatureevolutionmlneural-networkneural-networksneuralnetworkpython
Resources
Readme
Apache-2.0 license
Code of conduct
Code of conduct
Security policy
Security policy
Activity
Stars
1 star
Watchers
0 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
Nvolution
IssuesForksStarsLicense (Apache 2.0)VersionContributorsDownloadsBuild Status
Evolution creature neural network python game
Watch creatures evolve after generations!
Creatures:
  1. Have 1 layer neural network brains (16 neurons total)
  2. Have 13 segment vision segments
  3. Comunicate using scent
  4. Rare mutations
  5. Only the fitest survive
  6. (Deafult neuron ammount is 64, you can set it to whatever you want the neurons to be, lower for worse devices, delete newest.json before updating)
Gameplay:
  7. Only right click to make food right now
Other:
  1. A lot of settings
  2. Saves best neural network to newest.json each generation
  3. Saves generation logs to simulation_log.json
Setting example:
SCREEN_WIDTH, SCREEN_HEIGHT = 1000, 650 # Window size
CREATURE_COUNT = 30 CREATURE_LIMIT = 100
FOOD_COUNT = 300
REPRODUCE_ENERGY = 170 # Minimal energy needed for 2 random creatures to reproduce
START_ENERGY = 140 # Energy the creature starts with
SCENT_GRID_SIZE = 20
SCENT_DECAY = 0.95
SCENT_STRENGTH = 17.0
VISION_SEGMENTS = 36
VISION_RANGE = 200
GENERATION_STEPS = 1000 # cycles per generation
SCENT_SPREAD_RADIUS = 6
SCENT_FALLOFF = 1.5
SHOW_SCENT = True
LAYER_NEURONS = 64 # number of neurons for the hidden layer, before changing delete the old model!
MODEL_SAVE_PATH = "newest"

Example photos
imageimageimageimage
About
Evolution creature neural network python game
Topics
aiai-algorithmcreatureeveolution-creatureevolutionmlneural-networkneural-networksneuralnetworkpython
Resources
Readme
Apache-2.0 license
Code of conduct
Code of conduct
Security policy
Security policy
Activity
Stars
1 star
Watchers
0 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
Nvolution
IssuesForksStarsLicense (Apache 2.0)VersionContributorsDownloadsBuild Status
Evolution creature neural network python game
Watch creatures evolve after generations!
Creatures:
  1. Have 1 layer neural network brains (16 neurons total)
  2. Have 13 segment vision segments
  3. Comunicate using scent
  4. Rare mutations
  5. Only the fitest survive
  6. (Deafult neuron ammount is 64, you can set it to whatever you want the neurons to be, lower for worse devices, delete newest.json before updating)
Gameplay:
  7. Only right click to make food right now
Other:
  1. A lot of settings
  2. Saves best neural network to newest.json each generation
  3. Saves generation logs to simulation_log.json
Setting example:
SCREEN_WIDTH, SCREEN_HEIGHT = 1000, 650 # Window size
CREATURE_COUNT = 30 CREATURE_LIMIT = 100
FOOD_COUNT = 300
REPRODUCE_ENERGY = 170 # Minimal energy needed for 2 random creatures to reproduce
START_ENERGY = 140 # Energy the creature starts with
SCENT_GRID_SIZE = 20
SCENT_DECAY = 0.95
SCENT_STRENGTH = 17.0
VISION_SEGMENTS = 36
VISION_RANGE = 200
GENERATION_STEPS = 1000 # cycles per generation
SCENT_SPREAD_RADIUS = 6
SCENT_FALLOFF = 1.5
SHOW_SCENT = True
LAYER_NEURONS = 64 # number of neurons for the hidden layer, before changing delete the old model!
MODEL_SAVE_PATH = "newest"

Example photos
imageimageimageimage
About
Evolution creature neural network python game
Topics
aiai-algorithmcreatureeveolution-creatureevolutionmlneural-networkneural-networksneuralnetworkpython
Resources
Readme
Apache-2.0 license
Code of conduct
Code of conduct
Security policy
Security policy
Activity
Stars
1 star
Watchers
0 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
Nvolution
IssuesForksStarsLicense (Apache 2.0)VersionContributorsDownloadsBuild Status
Evolution creature neural network python game
Watch creatures evolve after generations!
Creatures:
  1. Have 1 layer neural network brains (16 neurons total)
  2. Have 13 segment vision segments
  3. Comunicate using scent
  4. Rare mutations
  5. Only the fitest survive
  6. (Deafult neuron ammount is 64, you can set it to whatever you want the neurons to be, lower for worse devices, delete newest.json before updating)
Gameplay:
  7. Only right click to make food right now
Other:
  1. A lot of settings
  2. Saves best neural network to newest.json each generation
  3. Saves generation logs to simulation_log.json
Setting example:
SCREEN_WIDTH, SCREEN_HEIGHT = 1000, 650 # Window size
CREATURE_COUNT = 30 CREATURE_LIMIT = 100
FOOD_COUNT = 300
REPRODUCE_ENERGY = 170 # Minimal energy needed for 2 random creatures to reproduce
START_ENERGY = 140 # Energy the creature starts with
SCENT_GRID_SIZE = 20
SCENT_DECAY = 0.95
SCENT_STRENGTH = 17.0
VISION_SEGMENTS = 36
VISION_RANGE = 200
GENERATION_STEPS = 1000 # cycles per generation
SCENT_SPREAD_RADIUS = 6
SCENT_FALLOFF = 1.5
SHOW_SCENT = True
LAYER_NEURONS = 64 # number of neurons for the hidden layer, before changing delete the old model!
MODEL_SAVE_PATH = "newest"

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Evolution creature neural network python game
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