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    NotHFaure/README.md

    Hi, I'm Harry

    I'm a cyber threat detection engineer, currently studying a Masters in Computer Science specialising in AI and machine learning.

    What's here

    online-footprint-auditor — a local OSINT tool for auditing your own public footprint, then telling you what to do about it. Python, with a self-hosted SearXNG backend for real automated search rather than manual copy and paste.

    Adversarial Attacks on Battery Energy Storage Systems — co-authored research code. Adversarial perturbations injected into a physics-based lithium-ion battery model in PyBaMM, to see whether attacks on battery telemetry are detectable in terminal voltage, state of charge and state of health. Five authors: Alaa Selim, Harrison Faure, Huadong Mo, Hemanshu Pota and Daoyi Dong.

    Text-Based Predictive Models — a word-level next-word predictor framed as an accessibility aid for people with ALS, comparing LSTM, GRU and RNN architectures on the same corpus.

    What's not here

    A broader private archive contains additional projects, experiments and coursework that are not listed publicly.

    Currently

    AI and machine learning, LLMs, home automation, home labs and networking, and life optimisation.

    Get in touch

    harryfaure@outlook.com

    Popular repositories Loading

    1. Adversarial-Attacks-on-Battery-Energy-Storage-Systems-Using-Physics-Based-Models-in-PyBaMM Adversarial-Attacks-on-Battery-Energy-Storage-Systems-Using-Physics-Based-Models-in-PyBaMMPublic

      Adversarial Attacks on Battery Energy Storage Systems Using Physics-Based Models in PyBaMM

      Jupyter Notebook 2

    2. Text-Based-Predictive-Models-LSTM-GRU-RNN Text-Based-Predictive-Models-LSTM-GRU-RNNPublic

      Coursework (UNSW ZEIT4151) comparing RNN, GRU and LSTM architectures for word-level next-word prediction, framed as an accessibility aid for ALS patients.

      Jupyter Notebook 1

    3. online-footprint-auditor online-footprint-auditorPublic

      Python 1

    4. NotHFaure NotHFaurePublic

      Config files for my GitHub profile.

    , '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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      NotHFaure/README.md
      Hi, I'm Harry
      I'm a cyber threat detection engineer, currently studying a Masters in Computer Science
specialising in AI and machine learning.
      What's here
      online-footprint-auditor — a
local OSINT tool for auditing your own public footprint, then telling you what to do about
it. Python, with a self-hosted SearXNG backend for real
automated search rather than manual copy and paste.
      Adversarial Attacks on Battery Energy Storage Systems
— co-authored research code. Adversarial perturbations injected into a physics-based
lithium-ion battery model in PyBaMM, to see whether attacks on battery telemetry are
detectable in terminal voltage, state of charge and state of health. Five authors: Alaa
Selim, Harrison Faure, Huadong Mo, Hemanshu Pota and Daoyi Dong.
      Text-Based Predictive Models
— a word-level next-word predictor framed as an accessibility aid for people with ALS,
comparing LSTM, GRU and RNN architectures on the same corpus.
      What's not here
      A broader private archive contains additional projects, experiments and coursework that are not listed publicly.
      Currently
      AI and machine learning, LLMs, home automation, home labs and networking, and life
optimisation.
      Get in touch
      harryfaure@outlook.com
      
Popular repositories
Loading
      1. 
Adversarial-Attacks-on-Battery-Energy-Storage-Systems-Using-Physics-Based-Models-in-PyBaMM
Adversarial-Attacks-on-Battery-Energy-Storage-Systems-Using-Physics-Based-Models-in-PyBaMMPublic
        
Adversarial Attacks on Battery Energy Storage Systems Using Physics-Based Models in PyBaMM

        Jupyter Notebook
2

      2. 
Text-Based-Predictive-Models-LSTM-GRU-RNN
Text-Based-Predictive-Models-LSTM-GRU-RNNPublic
        
Coursework (UNSW ZEIT4151) comparing RNN, GRU and LSTM architectures for word-level next-word prediction, framed as an accessibility aid for ALS patients.

        Jupyter Notebook
1

      3. 
online-footprint-auditor
online-footprint-auditorPublic
        Python
1

      4. 
NotHFaure
NotHFaurePublic
        
Config files for my GitHub profile.

      
, '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('^' + ".*" + '

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        NotHFaure/README.md
        Hi, I'm Harry
        I'm a cyber threat detection engineer, currently studying a Masters in Computer Science
specialising in AI and machine learning.
        What's here
        online-footprint-auditor — a
local OSINT tool for auditing your own public footprint, then telling you what to do about
it. Python, with a self-hosted SearXNG backend for real
automated search rather than manual copy and paste.
        Adversarial Attacks on Battery Energy Storage Systems
— co-authored research code. Adversarial perturbations injected into a physics-based
lithium-ion battery model in PyBaMM, to see whether attacks on battery telemetry are
detectable in terminal voltage, state of charge and state of health. Five authors: Alaa
Selim, Harrison Faure, Huadong Mo, Hemanshu Pota and Daoyi Dong.
        Text-Based Predictive Models
— a word-level next-word predictor framed as an accessibility aid for people with ALS,
comparing LSTM, GRU and RNN architectures on the same corpus.
        What's not here
        A broader private archive contains additional projects, experiments and coursework that are not listed publicly.
        Currently
        AI and machine learning, LLMs, home automation, home labs and networking, and life
optimisation.
        Get in touch
        harryfaure@outlook.com
        
Popular repositories
Loading
        1. 
Adversarial-Attacks-on-Battery-Energy-Storage-Systems-Using-Physics-Based-Models-in-PyBaMM
Adversarial-Attacks-on-Battery-Energy-Storage-Systems-Using-Physics-Based-Models-in-PyBaMMPublic
          
Adversarial Attacks on Battery Energy Storage Systems Using Physics-Based Models in PyBaMM

          Jupyter Notebook
2

        2. 
Text-Based-Predictive-Models-LSTM-GRU-RNN
Text-Based-Predictive-Models-LSTM-GRU-RNNPublic
          
Coursework (UNSW ZEIT4151) comparing RNN, GRU and LSTM architectures for word-level next-word prediction, framed as an accessibility aid for ALS patients.

          Jupyter Notebook
1

        3. 
online-footprint-auditor
online-footprint-auditorPublic
          Python
1

        4. 
NotHFaure
NotHFaurePublic
          
Config files for my GitHub profile.

        
, '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('^' + ".*" + '

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Block or report NotHFaure

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          NotHFaure/README.md
          Hi, I'm Harry
          I'm a cyber threat detection engineer, currently studying a Masters in Computer Science
specialising in AI and machine learning.
          What's here
          online-footprint-auditor — a
local OSINT tool for auditing your own public footprint, then telling you what to do about
it. Python, with a self-hosted SearXNG backend for real
automated search rather than manual copy and paste.
          Adversarial Attacks on Battery Energy Storage Systems
— co-authored research code. Adversarial perturbations injected into a physics-based
lithium-ion battery model in PyBaMM, to see whether attacks on battery telemetry are
detectable in terminal voltage, state of charge and state of health. Five authors: Alaa
Selim, Harrison Faure, Huadong Mo, Hemanshu Pota and Daoyi Dong.
          Text-Based Predictive Models
— a word-level next-word predictor framed as an accessibility aid for people with ALS,
comparing LSTM, GRU and RNN architectures on the same corpus.
          What's not here
          A broader private archive contains additional projects, experiments and coursework that are not listed publicly.
          Currently
          AI and machine learning, LLMs, home automation, home labs and networking, and life
optimisation.
          Get in touch
          harryfaure@outlook.com
          
Popular repositories
Loading
          1. 
Adversarial-Attacks-on-Battery-Energy-Storage-Systems-Using-Physics-Based-Models-in-PyBaMM
Adversarial-Attacks-on-Battery-Energy-Storage-Systems-Using-Physics-Based-Models-in-PyBaMMPublic
            
Adversarial Attacks on Battery Energy Storage Systems Using Physics-Based Models in PyBaMM

            Jupyter Notebook
2

          2. 
Text-Based-Predictive-Models-LSTM-GRU-RNN
Text-Based-Predictive-Models-LSTM-GRU-RNNPublic
            
Coursework (UNSW ZEIT4151) comparing RNN, GRU and LSTM architectures for word-level next-word prediction, framed as an accessibility aid for ALS patients.

            Jupyter Notebook
1

          3. 
online-footprint-auditor
online-footprint-auditorPublic
            Python
1

          4. 
NotHFaure
NotHFaurePublic
            
Config files for my GitHub profile.

          
, '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
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            Report abuse
            NotHFaure/README.md
            Hi, I'm Harry
            I'm a cyber threat detection engineer, currently studying a Masters in Computer Science
specialising in AI and machine learning.
            What's here
            online-footprint-auditor — a
local OSINT tool for auditing your own public footprint, then telling you what to do about
it. Python, with a self-hosted SearXNG backend for real
automated search rather than manual copy and paste.
            Adversarial Attacks on Battery Energy Storage Systems
— co-authored research code. Adversarial perturbations injected into a physics-based
lithium-ion battery model in PyBaMM, to see whether attacks on battery telemetry are
detectable in terminal voltage, state of charge and state of health. Five authors: Alaa
Selim, Harrison Faure, Huadong Mo, Hemanshu Pota and Daoyi Dong.
            Text-Based Predictive Models
— a word-level next-word predictor framed as an accessibility aid for people with ALS,
comparing LSTM, GRU and RNN architectures on the same corpus.
            What's not here
            A broader private archive contains additional projects, experiments and coursework that are not listed publicly.
            Currently
            AI and machine learning, LLMs, home automation, home labs and networking, and life
optimisation.
            Get in touch
            harryfaure@outlook.com
            
Popular repositories
Loading
            1. 
Adversarial-Attacks-on-Battery-Energy-Storage-Systems-Using-Physics-Based-Models-in-PyBaMM
Adversarial-Attacks-on-Battery-Energy-Storage-Systems-Using-Physics-Based-Models-in-PyBaMMPublic
              
Adversarial Attacks on Battery Energy Storage Systems Using Physics-Based Models in PyBaMM

              Jupyter Notebook
2

            2. 
Text-Based-Predictive-Models-LSTM-GRU-RNN
Text-Based-Predictive-Models-LSTM-GRU-RNNPublic
              
Coursework (UNSW ZEIT4151) comparing RNN, GRU and LSTM architectures for word-level next-word prediction, framed as an accessibility aid for ALS patients.

              Jupyter Notebook
1

            3. 
online-footprint-auditor
online-footprint-auditorPublic
              Python
1

            4. 
NotHFaure
NotHFaurePublic
              
Config files for my GitHub profile.

            
, '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
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              Report abuse
              NotHFaure/README.md
              Hi, I'm Harry
              I'm a cyber threat detection engineer, currently studying a Masters in Computer Science
specialising in AI and machine learning.
              What's here
              online-footprint-auditor — a
local OSINT tool for auditing your own public footprint, then telling you what to do about
it. Python, with a self-hosted SearXNG backend for real
automated search rather than manual copy and paste.
              Adversarial Attacks on Battery Energy Storage Systems
— co-authored research code. Adversarial perturbations injected into a physics-based
lithium-ion battery model in PyBaMM, to see whether attacks on battery telemetry are
detectable in terminal voltage, state of charge and state of health. Five authors: Alaa
Selim, Harrison Faure, Huadong Mo, Hemanshu Pota and Daoyi Dong.
              Text-Based Predictive Models
— a word-level next-word predictor framed as an accessibility aid for people with ALS,
comparing LSTM, GRU and RNN architectures on the same corpus.
              What's not here
              A broader private archive contains additional projects, experiments and coursework that are not listed publicly.
              Currently
              AI and machine learning, LLMs, home automation, home labs and networking, and life
optimisation.
              Get in touch
              harryfaure@outlook.com
              
Popular repositories
Loading
              1. 
Adversarial-Attacks-on-Battery-Energy-Storage-Systems-Using-Physics-Based-Models-in-PyBaMM
Adversarial-Attacks-on-Battery-Energy-Storage-Systems-Using-Physics-Based-Models-in-PyBaMMPublic
                
Adversarial Attacks on Battery Energy Storage Systems Using Physics-Based Models in PyBaMM

                Jupyter Notebook
2

              2. 
Text-Based-Predictive-Models-LSTM-GRU-RNN
Text-Based-Predictive-Models-LSTM-GRU-RNNPublic
                
Coursework (UNSW ZEIT4151) comparing RNN, GRU and LSTM architectures for word-level next-word prediction, framed as an accessibility aid for ALS patients.

                Jupyter Notebook
1

              3. 
online-footprint-auditor
online-footprint-auditorPublic
                Python
1

              4. 
NotHFaure
NotHFaurePublic
                
Config files for my GitHub profile.

              
, '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
              View NotHFaure's full-sized avatar
              💭
              Hustling
              💭
              Hustling
                
Block or report NotHFaure

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                Report abuse
                
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Learn more about reporting abuse.

                Report abuse
                NotHFaure/README.md
                Hi, I'm Harry
                I'm a cyber threat detection engineer, currently studying a Masters in Computer Science
specialising in AI and machine learning.
                What's here
                online-footprint-auditor — a
local OSINT tool for auditing your own public footprint, then telling you what to do about
it. Python, with a self-hosted SearXNG backend for real
automated search rather than manual copy and paste.
                Adversarial Attacks on Battery Energy Storage Systems
— co-authored research code. Adversarial perturbations injected into a physics-based
lithium-ion battery model in PyBaMM, to see whether attacks on battery telemetry are
detectable in terminal voltage, state of charge and state of health. Five authors: Alaa
Selim, Harrison Faure, Huadong Mo, Hemanshu Pota and Daoyi Dong.
                Text-Based Predictive Models
— a word-level next-word predictor framed as an accessibility aid for people with ALS,
comparing LSTM, GRU and RNN architectures on the same corpus.
                What's not here
                A broader private archive contains additional projects, experiments and coursework that are not listed publicly.
                Currently
                AI and machine learning, LLMs, home automation, home labs and networking, and life
optimisation.
                Get in touch
                harryfaure@outlook.com
                
Popular repositories
Loading
                1. 
Adversarial-Attacks-on-Battery-Energy-Storage-Systems-Using-Physics-Based-Models-in-PyBaMM
Adversarial-Attacks-on-Battery-Energy-Storage-Systems-Using-Physics-Based-Models-in-PyBaMMPublic
                  
Adversarial Attacks on Battery Energy Storage Systems Using Physics-Based Models in PyBaMM

                  Jupyter Notebook
2

                2. 
Text-Based-Predictive-Models-LSTM-GRU-RNN
Text-Based-Predictive-Models-LSTM-GRU-RNNPublic
                  
Coursework (UNSW ZEIT4151) comparing RNN, GRU and LSTM architectures for word-level next-word prediction, framed as an accessibility aid for ALS patients.

                  Jupyter Notebook
1

                3. 
online-footprint-auditor
online-footprint-auditorPublic
                  Python
1

                4. 
NotHFaure
NotHFaurePublic
                  
Config files for my GitHub profile.

                
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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");
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} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

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                  NotHFaure/README.md
                  Hi, I'm Harry
                  I'm a cyber threat detection engineer, currently studying a Masters in Computer Science
specialising in AI and machine learning.
                  What's here
                  online-footprint-auditor — a
local OSINT tool for auditing your own public footprint, then telling you what to do about
it. Python, with a self-hosted SearXNG backend for real
automated search rather than manual copy and paste.
                  Adversarial Attacks on Battery Energy Storage Systems
— co-authored research code. Adversarial perturbations injected into a physics-based
lithium-ion battery model in PyBaMM, to see whether attacks on battery telemetry are
detectable in terminal voltage, state of charge and state of health. Five authors: Alaa
Selim, Harrison Faure, Huadong Mo, Hemanshu Pota and Daoyi Dong.
                  Text-Based Predictive Models
— a word-level next-word predictor framed as an accessibility aid for people with ALS,
comparing LSTM, GRU and RNN architectures on the same corpus.
                  What's not here
                  A broader private archive contains additional projects, experiments and coursework that are not listed publicly.
                  Currently
                  AI and machine learning, LLMs, home automation, home labs and networking, and life
optimisation.
                  Get in touch
                  harryfaure@outlook.com
                  
Popular repositories
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                  1. 
Adversarial-Attacks-on-Battery-Energy-Storage-Systems-Using-Physics-Based-Models-in-PyBaMM
Adversarial-Attacks-on-Battery-Energy-Storage-Systems-Using-Physics-Based-Models-in-PyBaMMPublic
                    
Adversarial Attacks on Battery Energy Storage Systems Using Physics-Based Models in PyBaMM

                    Jupyter Notebook
2

                  2. 
Text-Based-Predictive-Models-LSTM-GRU-RNN
Text-Based-Predictive-Models-LSTM-GRU-RNNPublic
                    
Coursework (UNSW ZEIT4151) comparing RNN, GRU and LSTM architectures for word-level next-word prediction, framed as an accessibility aid for ALS patients.

                    Jupyter Notebook
1

                  3. 
online-footprint-auditor
online-footprint-auditorPublic
                    Python
1

                  4. 
NotHFaure
NotHFaurePublic
                    
Config files for my GitHub profile.