[๐๐๐ ๐ ๐ฎ๐ฌ๐ฎ๐ฒ] Dispersion loss counteracts embedding condensation and improves generalization in small language models
GitHub repository with 107 stars and 5 forks.
Language: Python
Topics: icml, icml-2026, llm, llm-training, llms, manifold-learning, condensation, dispersion, embedding, large-language-models
Trending score 0.95, activity score 0.00, stars gained +2, forks gained +0.
2026-06-13: 107 stars and 5 forks.
My Python scripts to make high-quality figures for publications in top AI conferences and journals.
GitHub repository with 2,370 stars and 149 forks.
Trending score: 1.35; stars gained: +26; forks gained: +0.
Language: Python
Topics: figures, python, icml, nature-machine-intelligence, neurips, llm
[๐๐๐ ๐ ๐ฎ๐ฌ๐ฎ๐ฒ] Dispersion loss counteracts embedding condensation and improves generalization in small language models
GitHub repository with 107 stars and 5 forks.
Trending score: 0.95; stars gained: +2; forks gained: +0.
Language: Python
Topics: icml, icml-2026, llm, llm-training, llms, manifold-learning
[ICML 2026] Revisiting Uncertainty: On Evidential Learning for Partially Relevant Video Retrieval
GitHub repository with 21 stars and 0 forks.
Trending score: 0.00.
Language: Python
Topics: cross-modal-retrieval, evidential-deep-learning, icml, partially-relevant-video-retrieval, prvr, uncertainty-learning
AI agent skill that researches any topic across Reddit, X, YouTube, HN, Polymarket, and the web - then synthesizes a grounded summary
GitHub repository with 40,614 stars and 3,271 forks.
Trending score: 5.82; stars gained: +1,312; forks gained: +87.
Language: Python
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answers. Library, proxy, MCP server.
GitHub repository with 25,425 stars and 1,676 forks.
Trending score: 5.73; stars gained: +2,844; forks gained: +202.
Language: Python
Topics: agent, ai, anthropic, compression, context-engineering, context-window
Self-hosted AI workspace.
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Language: Python
The agent that grows with you
GitHub repository with 192,327 stars and 33,531 forks.
Trending score: 5.48; stars gained: +990; forks gained: +282.
Language: Python
Topics: ai, ai-agent, ai-agents, anthropic, chatgpt, claude
AI coding assistant skill (Claude Code, Codex, OpenCode, Cursor, Gemini CLI, and more). Turn any folder of code, SQL schemas, R scripts, shell scripts, docs, papers, images, or videos into a queryable knowledge graph. App code + database schema + infrastructure in one graph.
GitHub repository with 66,467 stars and 6,719 forks.
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Language: Python
Topics: antigravity, claude-code, codex, gemini, graphrag, knowledge-graph
AI generates a real, editable PowerPoint from any document โ native shapes & animations, speaker notes voiced as audio narration, and the option to follow your own .pptx template, not slide images ยท by Hugo He
GitHub repository with 27,112 stars and 2,418 forks.
Trending score: 5.10; stars gained: +903; forks gained: +61.
Language: Python
Topics: ai-agent, aippt, office, powerpoint, powerpoint-generation, ppt
My Python scripts to make high-quality figures for publications in top AI conferences and journals.
GitHub repository with 2,370 stars and 149 forks.
Trending score: 1.35; stars gained: +26; forks gained: +0.
Language: Python
Topics: figures, python, icml, nature-machine-intelligence, neurips, llm
[๐๐๐ ๐ ๐ฎ๐ฌ๐ฎ๐ฒ] Dispersion loss counteracts embedding condensation and improves generalization in small language models
GitHub repository with 107 stars and 5 forks.
Trending score: 0.95; stars gained: +2; forks gained: +0.
Language: Python
Topics: icml, icml-2026, llm, llm-training, llms, manifold-learning
AI Paper Reviewer: LLM-based tool for academic paper review
GitHub repository with 13 stars and 1 forks.
Trending score: 0.33; stars gained: +1; forks gained: +0.
Language: HTML
Topics: aaai, academic-paper-review, academic-writing, ai-paper-reviewer, ai-research-writing, chatgpt
[ICML 2026] Revisiting Uncertainty: On Evidential Learning for Partially Relevant Video Retrieval
GitHub repository with 21 stars and 0 forks.
Trending score: 0.00.
Language: Python
Topics: cross-modal-retrieval, evidential-deep-learning, icml, partially-relevant-video-retrieval, prvr, uncertainty-learning