AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
GitHub repository with 2,633 stars and 451 forks.
Language: Python
Topics: quantization, deep-learning, compression, open-source, machine-learning, pruning, auto-ml, network-compression, deep-neural-networks, network-quantization
Trending score 0.88, activity score 1.88, stars gained +3, forks gained +0.
2026-06-05: 2,633 stars and 451 forks.
A vector index built on TurboQuant, written in Rust with Python bindings
GitHub repository with 4,086 stars and 389 forks.
Trending score: 1.70; stars gained: +63; forks gained: +9.
Language: Python
Topics: ann, avx512, embeddings, faiss, nearest-neighbor, neon
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
GitHub repository with 71,901 stars and 8,787 forks.
Trending score: 1.30; stars gained: +22; forks gained: +2.
Language: Python
Topics: fine-tuning, llama, llm, peft, transformers, rlhf
KVarN is a native vLLM KV-cache quantization backend for your agents: 3-5x more context, throughput above FP16, and FP16-level accuracy. Calibration-free, one flag.
GitHub repository with 239 stars and 9 forks.
Trending score: 1.14; stars gained: +14; forks gained: +1.
Language: Python
Topics: agentic-ai, kv-cache, llm, llm-inference, long-context, quantization
A SOTA quantization algorithm for high-accuracy low-bit LLM inference, seamlessly optimized for CPU/XPU/CUDA, with multi-datatype support and full compatibility with vLLM, SGLang, and Transformers.
GitHub repository with 1,436 stars and 135 forks.
Trending score: 1.06; stars gained: +6; forks gained: +0.
Language: Python
Topics: gguf, int4, llms, mxfp4, nvfp4, quantization
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
GitHub repository with 2,633 stars and 451 forks.
Trending score: 0.88; stars gained: +3; forks gained: +0.
Language: Python
Topics: quantization, deep-learning, compression, open-source, machine-learning, pruning
Bilingual (中文+EN) ML / LLM / diffusion / agent interview cheat sheets for AI 秋招 — auto-generated by the ARIS /render-html workflow into single-file HTML, reads anywhere — plus a CV→DBLP-fact-checked academic homepage generator and long-form blogs/surveys 🌱
GitHub repository with 166 stars and 6 forks.
Trending score: 0.59; stars gained: +3; forks gained: +0.
Language: Python
Topics: ai-interview, aris, autumn-recruiting, cheatsheet, chinese, claude-code
The agent that grows with you
GitHub repository with 181,649 stars and 31,166 forks.
Trending score: 5.95; stars gained: +1,867; forks gained: +361.
Language: Python
Topics: ai, ai-agent, ai-agents, anthropic, chatgpt, claude
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 13,361 stars and 853 forks.
Trending score: 5.69; stars gained: +2,829; forks gained: +175.
Language: Python
Topics: agent, ai, anthropic, compression, context-engineering, context-window
Academic Research Skills for Claude Code: research → write → review → revise → finalize
GitHub repository with 27,422 stars and 2,253 forks.
Trending score: 5.52; stars gained: +1,079; forks gained: +89.
Language: Python
Topics: academic-pipeline, academic-writing, ai-research, claude, claude-code, literature-review
GitHub repository with 30,029 stars and 4,231 forks.
Trending score: 4.88; stars gained: +688; forks gained: +114.
Language: Python
Turn any technical book PDF into a Claude Code skill — ready to study, reference, and use while you work.
GitHub repository with 4,250 stars and 534 forks.
Trending score: 4.88; stars gained: +476; forks gained: +68.
Language: Python
An opinionated list of Python frameworks, libraries, tools, and resources
GitHub repository with 301,371 stars and 28,044 forks.
Trending score: 4.60; stars gained: +518; forks gained: +24.
Language: Python
Topics: awesome, python, collections, python-frameworks, python-libraries, python-tools
A vector index built on TurboQuant, written in Rust with Python bindings
GitHub repository with 4,086 stars and 389 forks.
Trending score: 1.70; stars gained: +63; forks gained: +9.
Language: Python
Topics: ann, avx512, embeddings, faiss, nearest-neighbor, neon
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
GitHub repository with 71,901 stars and 8,787 forks.
Trending score: 1.30; stars gained: +22; forks gained: +2.
Language: Python
Topics: fine-tuning, llama, llm, peft, transformers, rlhf
Camelid: a Rust-native local inference backend with evidence-gated model compatibility.
GitHub repository with 49 stars and 10 forks.
Trending score: 1.25; stars gained: +17; forks gained: +2.
Language: Rust
Topics: apple-silicon, gguf, inference, llama, llm, local-first
KVarN is a native vLLM KV-cache quantization backend for your agents: 3-5x more context, throughput above FP16, and FP16-level accuracy. Calibration-free, one flag.
GitHub repository with 239 stars and 9 forks.
Trending score: 1.14; stars gained: +14; forks gained: +1.
Language: Python
Topics: agentic-ai, kv-cache, llm, llm-inference, long-context, quantization
A SOTA quantization algorithm for high-accuracy low-bit LLM inference, seamlessly optimized for CPU/XPU/CUDA, with multi-datatype support and full compatibility with vLLM, SGLang, and Transformers.
GitHub repository with 1,436 stars and 135 forks.
Trending score: 1.06; stars gained: +6; forks gained: +0.
Language: Python
Topics: gguf, int4, llms, mxfp4, nvfp4, quantization
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
GitHub repository with 2,633 stars and 451 forks.
Trending score: 0.88; stars gained: +3; forks gained: +0.
Language: Python
Topics: quantization, deep-learning, compression, open-source, machine-learning, pruning