Skip to content
BranchesTags

Latest commit

History

3 Commits

Folders and files

NameName
Last commit message
Last commit date
closek
closek
experiments
experiments
.gitignore
.gitignore
LICENSE
LICENSE
README.md
README.md
setup.py
setup.py
test.py
test.py
tox.ini
tox.ini

Repository files navigation

Close-k Classifier

This repository contains code accompanying

Minimizing Close-k Aggregate Loss Improves Classification

Bryan He, James Zou.

We provide a Python 3 implementation using the scikit-learn API, and provide code to reproduce the figures and tables from the paper.

Installation

Our package is available on PyPy, and can be installed using

pip install -i https://pypi.org/project/ closek

You can also install this package by cloning the Github repository, and running

pip install closek

If you want directly use the implementation in your package, you can also copy closek/closek.py into your code.

Usage

An example of how to use our package is shown in test.py.

Generating Results from Paper

The code used for the paper is in experiments. See the README there for more details.

About

No description, website, or topics provided.

Resources

Readme
MIT license
Activity

Stars

0 stars

Watchers

0 watching

Forks

0 forks
Report repository

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { // Add copy buttons to all 
 blocks
(function() {
function addCopyButtons() {
document.querySelectorAll('pre code').forEach(function(codeBlock) {
if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;
codeBlock.parentElement.setAttribute('data-copy-added', 'true');
var btn = document.createElement('button');
btn.textContent = 'Copy';
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;';
btn.onmouseover = function() { this.style.opacity = '1'; };
btn.onmouseout = function() { this.style.opacity = '0.7'; };
btn.onclick = function() {
navigator.clipboard.writeText(codeBlock.textContent).then(function() {
btn.textContent = 'Copied!';
setTimeout(function() { btn.textContent = 'Copy'; }, 1500);
});
};
codeBlock.parentElement.style.position = 'relative';
codeBlock.parentElement.appendChild(btn);
});
}
addCopyButtons();
// Re-run on dynamic content
var observer = new MutationObserver(addCopyButtons);
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
GitHub - bryanhe/closek · GitHub
Skip to content
BranchesTags
Latest commit
History
3 Commits
Folders and files
NameName
Last commit message
Last commit date
closek
closek
experiments
experiments
.gitignore
.gitignore
LICENSE
LICENSE
README.md
README.md
setup.py
setup.py
test.py
test.py
tox.ini
tox.ini
Repository files navigation
Close-k Classifier
This repository contains code accompanying
Minimizing Close-k Aggregate Loss Improves Classification
Bryan He, James Zou.
We provide a Python 3 implementation using the
scikit-learn API,
and provide code to reproduce the figures and tables from the paper.
Installation
Our package is available on PyPy, and can be installed using
pip install -i https://pypi.org/project/ closek
You can also install this package by cloning the Github repository, and running
pip install closek
If you want directly use the implementation in your package, you can also copy
closek/closek.py into your code.
Usage
An example of how to use our package is shown in test.py.
Generating Results from Paper
The code used for the paper is in experiments. See the README
there for more details.
About
No description, website, or topics provided.
Resources
Readme
MIT license
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Force GitHub README to respect dark mode
(function() {
var style = document.createElement('style');
style.textContent = '
.markdown-body {
color-scheme: dark light;
}
.markdown-body pre { background: #161b22 !important; }
.markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }
.markdown-body table th, .markdown-body table td { border-color: #30363d !important; }
.markdown-body img { background: #0d1117; }
.markdown-body blockquote { border-left-color: #8b949e; }
.markdown-body hr { border-color: #30363d; }
';
document.head.appendChild(style);
})();
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - bryanhe/closek · GitHub
Skip to content
BranchesTags
Latest commit
History
3 Commits
Folders and files
NameName
Last commit message
Last commit date
closek
closek
experiments
experiments
.gitignore
.gitignore
LICENSE
LICENSE
README.md
README.md
setup.py
setup.py
test.py
test.py
tox.ini
tox.ini
Repository files navigation
Close-k Classifier
This repository contains code accompanying
Minimizing Close-k Aggregate Loss Improves Classification
Bryan He, James Zou.
We provide a Python 3 implementation using the
scikit-learn API,
and provide code to reproduce the figures and tables from the paper.
Installation
Our package is available on PyPy, and can be installed using
pip install -i https://pypi.org/project/ closek
You can also install this package by cloning the Github repository, and running
pip install closek
If you want directly use the implementation in your package, you can also copy
closek/closek.py into your code.
Usage
An example of how to use our package is shown in test.py.
Generating Results from Paper
The code used for the paper is in experiments. See the README
there for more details.
About
No description, website, or topics provided.
Resources
Readme
MIT license
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Highlight search terms from Google/DuckDuckGo/Bing referrer
(function() {
var ref = document.referrer;
var terms = [];
if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {
var url = new URL(ref);
var q = url.searchParams.get('q') || url.searchParams.get('p');
if (q) {
terms = q.split(/\s+/).filter(function(t) { return t.length > 2; });
}
}
if (terms.length === 0) return;
var style = document.createElement('style');
style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';
document.head.appendChild(style);
function highlight(node) {
if (node.nodeType === 3) { // text node
var text = node.textContent;
var found = false;
terms.forEach(function(term) {
var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\]\\]/g, '\\') + ')', 'gi');
if (regex.test(text)) {
found = true;
var frag = document.createDocumentFragment();
var parts = text.split(regex);
parts.forEach(function(part, i) {
if (i % 2 === 0) {
frag.appendChild(document.createTextNode(part));
} else {
var span = document.createElement('span');
span.className = 'userscript-highlight';
span.textContent = part;
frag.appendChild(span);
}
});
node.parentNode.replaceChild(frag, node);
}
});
} else if (node.nodeType === 1 && node.childNodes) { // element
var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];
if (!skipTags.includes(node.tagName)) {
Array.from(node.childNodes).forEach(highlight);
}
}
}
highlight(document.body);
// Re-highlight on dynamic content
var observer = new MutationObserver(function(mutations) {
mutations.forEach(function(m) {
m.addedNodes.forEach(function(node) {
if (node.nodeType === 1 || node.nodeType === 3) highlight(node);
});
});
});
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - bryanhe/closek · GitHub
Skip to content
BranchesTags
Latest commit
History
3 Commits
Folders and files
NameName
Last commit message
Last commit date
closek
closek
experiments
experiments
.gitignore
.gitignore
LICENSE
LICENSE
README.md
README.md
setup.py
setup.py
test.py
test.py
tox.ini
tox.ini
Repository files navigation
Close-k Classifier
This repository contains code accompanying
Minimizing Close-k Aggregate Loss Improves Classification
Bryan He, James Zou.
We provide a Python 3 implementation using the
scikit-learn API,
and provide code to reproduce the figures and tables from the paper.
Installation
Our package is available on PyPy, and can be installed using
pip install -i https://pypi.org/project/ closek
You can also install this package by cloning the Github repository, and running
pip install closek
If you want directly use the implementation in your package, you can also copy
closek/closek.py into your code.
Usage
An example of how to use our package is shown in test.py.
Generating Results from Paper
The code used for the paper is in experiments. See the README
there for more details.
About
No description, website, or topics provided.
Resources
Readme
MIT license
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Strip utm_, fbclid, gclid, etc. from all links on page
(function() {
var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',
'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',
'ref', 'ref_src', 'source', 'medium', 'campaign'];
function cleanUrl(url) {
try {
var u = new URL(url, window.location.origin);
var changed = false;
trackingParams.forEach(function(p) {
if (u.searchParams.has(p)) {
u.searchParams.delete(p);
changed = true;
}
});
return changed ? u.toString() : url;
} catch (e) {
return url;
}
}
function cleanLinks() {
document.querySelectorAll('a[href]').forEach(function(a) {
var clean = cleanUrl(a.href);
if (clean !== a.href) a.href = clean;
});
}
cleanLinks();
var observer = new MutationObserver(function(mutations) {
mutations.forEach(function(m) {
m.addedNodes.forEach(function(node) {
if (node.nodeType === 1) {
if (node.tagName === 'A') cleanLinks();
node.querySelectorAll('a[href]').forEach(function(a) {
var clean = cleanUrl(a.href);
if (clean !== a.href) a.href = clean;
});
}
});
});
});
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '
GitHub - bryanhe/closek · GitHub
Skip to content
BranchesTags
Latest commit
History
3 Commits
Folders and files
NameName
Last commit message
Last commit date
closek
closek
experiments
experiments
.gitignore
.gitignore
LICENSE
LICENSE
README.md
README.md
setup.py
setup.py
test.py
test.py
tox.ini
tox.ini
Repository files navigation
Close-k Classifier
This repository contains code accompanying
Minimizing Close-k Aggregate Loss Improves Classification
Bryan He, James Zou.
We provide a Python 3 implementation using the
scikit-learn API,
and provide code to reproduce the figures and tables from the paper.
Installation
Our package is available on PyPy, and can be installed using
pip install -i https://pypi.org/project/ closek
You can also install this package by cloning the Github repository, and running
pip install closek
If you want directly use the implementation in your package, you can also copy
closek/closek.py into your code.
Usage
An example of how to use our package is shown in test.py.
Generating Results from Paper
The code used for the paper is in experiments. See the README
there for more details.
About
No description, website, or topics provided.
Resources
Readme
MIT license
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Auto-enable theater mode on YouTube
(function() {
function tryTheater() {
var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]');
if (btn && !btn.classList.contains('activated')) {
btn.click();
}
}
// Try immediately
tryTheater();
// Try after navigation (SPA)
var lastUrl = location.href;
setInterval(function() {
if (location.href !== lastUrl) {
lastUrl = location.href;
setTimeout(tryTheater, 500);
}
}, 1000);
// Also try on player load
var observer = new MutationObserver(tryTheater);
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - bryanhe/closek · GitHub
Skip to content
BranchesTags
Latest commit
History
3 Commits
Folders and files
NameName
Last commit message
Last commit date
closek
closek
experiments
experiments
.gitignore
.gitignore
LICENSE
LICENSE
README.md
README.md
setup.py
setup.py
test.py
test.py
tox.ini
tox.ini
Repository files navigation
Close-k Classifier
This repository contains code accompanying
Minimizing Close-k Aggregate Loss Improves Classification
Bryan He, James Zou.
We provide a Python 3 implementation using the
scikit-learn API,
and provide code to reproduce the figures and tables from the paper.
Installation
Our package is available on PyPy, and can be installed using
pip install -i https://pypi.org/project/ closek
You can also install this package by cloning the Github repository, and running
pip install closek
If you want directly use the implementation in your package, you can also copy
closek/closek.py into your code.
Usage
An example of how to use our package is shown in test.py.
Generating Results from Paper
The code used for the paper is in experiments. See the README
there for more details.
About
No description, website, or topics provided.
Resources
Readme
MIT license
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Remove or un-stick sticky/fixed headers that block content
(function() {
function unstick() {
document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) {
if (el.style.position === 'fixed' || el.style.position === 'sticky' || getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {
el.style.position = 'static';
el.style.top = 'auto';
el.style.zIndex = 'auto';
}
});
}
unstick();
var observer = new MutationObserver(unstick);
observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });
})();
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - bryanhe/closek · GitHub
Skip to content
BranchesTags
Latest commit
History
3 Commits
Folders and files
NameName
Last commit message
Last commit date
closek
closek
experiments
experiments
.gitignore
.gitignore
LICENSE
LICENSE
README.md
README.md
setup.py
setup.py
test.py
test.py
tox.ini
tox.ini
Repository files navigation
Close-k Classifier
This repository contains code accompanying
Minimizing Close-k Aggregate Loss Improves Classification
Bryan He, James Zou.
We provide a Python 3 implementation using the
scikit-learn API,
and provide code to reproduce the figures and tables from the paper.
Installation
Our package is available on PyPy, and can be installed using
pip install -i https://pypi.org/project/ closek
You can also install this package by cloning the Github repository, and running
pip install closek
If you want directly use the implementation in your package, you can also copy
closek/closek.py into your code.
Usage
An example of how to use our package is shown in test.py.
Generating Results from Paper
The code used for the paper is in experiments. See the README
there for more details.
About
No description, website, or topics provided.
Resources
Readme
MIT license
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Universal Dark Mode - works on any site
(function() {
var enabled = true;
function applyDarkMode() {
if (!enabled) return;
// Create style element if it doesn't exist
var style = document.getElementById('universal-dark-mode-style');
if (!style) {
style = document.createElement('style');
style.id = 'universal-dark-mode-style';
document.head.appendChild(style);
}
// Dark mode CSS - inverts colors but preserves images/video
style.textContent = '
/* Invert everything except media */
html {
filter: invert(1) hue-rotate(180deg) !important;
background: #1a1a2e !important;
}
/* Restore images, videos, iframes, canvas */
img, video, iframe, canvas, svg, picture, [style*="background-image"] {
filter: invert(1) hue-rotate(180deg) !important;
}
/* Preserve specific elements that should not be inverted */
.no-dark-mode, .no-dark-mode *,
[data-theme="light"], [data-theme="light"],
.ace_editor, .ace_editor *,
.CodeMirror, .CodeMirror *,
.monaco-editor, .monaco-editor *,
.markdown-body pre, .markdown-body pre *,
.highlight, .highlight *,
pre code, pre code * {
filter: none !important;
}
/* Fix common UI elements */
.modal, .popup, .dropdown-menu, .tooltip, .popover {
filter: invert(1) hue-rotate(180deg) !important;
background: #2d2d44 !important;
border-color: #444 !important;
}
/* Scrollbars */
::-webkit-scrollbar { background: #1a1a2e !important; }
::-webkit-scrollbar-thumb { background: #444 !important; }
::-webkit-scrollbar-thumb:hover { background: #555 !important; }
/* Selection */
::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }
::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }
';
}
function removeDarkMode() {
var style = document.getElementById('universal-dark-mode-style');
if (style) style.remove();
}
// Toggle with Alt+Shift+D
document.addEventListener('keydown', function(e) {
if (e.altKey && e.shiftKey && e.key === 'D') {
e.preventDefault();
enabled = !enabled;
if (enabled) {
applyDarkMode();
console.log('[Universal Dark Mode] Enabled');
} else {
removeDarkMode();
console.log('[Universal Dark Mode] Disabled');
}
}
});
// Apply on load
applyDarkMode();
// Re-apply on dynamic content
var observer = new MutationObserver(function(mutations) {
if (enabled && !document.getElementById('universal-dark-mode-style')) {
applyDarkMode();
}
});
observer.observe(document.head, { childList: true });
console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');
})();
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();
GitHub - bryanhe/closek · GitHub
Skip to content
BranchesTags
Latest commit
History
3 Commits
Folders and files
NameName
Last commit message
Last commit date
closek
closek
experiments
experiments
.gitignore
.gitignore
LICENSE
LICENSE
README.md
README.md
setup.py
setup.py
test.py
test.py
tox.ini
tox.ini
Repository files navigation
Close-k Classifier
This repository contains code accompanying
Minimizing Close-k Aggregate Loss Improves Classification
Bryan He, James Zou.
We provide a Python 3 implementation using the
scikit-learn API,
and provide code to reproduce the figures and tables from the paper.
Installation
Our package is available on PyPy, and can be installed using
pip install -i https://pypi.org/project/ closek
You can also install this package by cloning the Github repository, and running
pip install closek
If you want directly use the implementation in your package, you can also copy
closek/closek.py into your code.
Usage
An example of how to use our package is shown in test.py.
Generating Results from Paper
The code used for the paper is in experiments. See the README
there for more details.
About
No description, website, or topics provided.
Resources
Readme
MIT license
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages