Skeletonxf/easy-ml
Machine learning library providing matrices, named tensors, linear algebra and autodiff aimed at being easy to use
GitHub repository with 25 stars and 2 forks.
Language: Rust
Topics: machine-learning, rust
Machine learning library providing matrices, named tensors, linear algebra and autodiff aimed at being easy to use
GitHub repository with 25 stars and 2 forks.
Language: Rust
Topics: machine-learning, rust
2026-06-05: 25 stars and 2 forks.
YC (S26) | AI that knows what you've seen, said, or heard. Records everything you do, say, hear 24/7, local, private, secure
GitHub repository with 19,136 stars and 1,799 forks.
Trending score: 2.63; stars gained: +23; forks gained: +4.
Language: Rust
Topics: agents, agi, ai, audio-recording, computer-vision, llm
⚡ Python-free Rust inference server — OpenAI-API compatible. GGUF + SafeTensors, hot model swap, auto-discovery, single binary. FREE now, FREE forever.
GitHub repository with 5,306 stars and 499 forks.
Trending score: 1.87; stars gained: +5; forks gained: +2.
Language: Rust
Topics: llama, llamacpp, llm-inference, ollama-api, command-line-tool, gguf
Open Lakehouse Format for Multimodal AI. Convert from Parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, and PyTorch with more integrations coming..
GitHub repository with 6,581 stars and 694 forks.
Trending score: 1.70; stars gained: +5; forks gained: +3.
Language: Rust
Topics: apache-arrow, computer-vision, data-analysis, data-analytics, data-centric, data-format
Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.
GitHub repository with 15,333 stars and 930 forks.
Trending score: 1.43; stars gained: +31; forks gained: +6.
Language: Rust
Topics: autodiff, deep-learning, machine-learning, rust, scientific-computing, ndarray
High-performance data engine for AI and multimodal workloads. Process images, audio, video, and structured data at any scale
GitHub repository with 5,546 stars and 483 forks.
Trending score: 1.26; stars gained: +2; forks gained: +1.
Language: Rust
Topics: machine-learning, python, data-engineering, distributed-computing, rust, big-data
Drop-in Apache Spark replacement written in Rust, unifying batch processing, stream processing, and compute-intensive AI workloads.
GitHub repository with 2,843 stars and 163 forks.
Trending score: 0.88; stars gained: +7; forks gained: +0.
Language: Rust
Topics: apache-iceberg, apache-spark, arrow, artificial-intelligence, big-data, data-engineering
An enhanced tool for CodexApp, striving to make Codex better to use and more comfortable 一个CodexApp的增强工具,努力让Codex变得更好用更舒服
GitHub repository with 13,600 stars and 840 forks.
Trending score: 5.16; stars gained: +916; forks gained: +44.
Language: Rust
DeepSeek + MiMo coding agent in terminal
GitHub repository with 37,102 stars and 3,192 forks.
Trending score: 4.80; stars gained: +393; forks gained: +32.
Language: Rust
Topics: cli, deepseek, llm, rust, terminal, tui
Lightweight coding agent that runs in your terminal
GitHub repository with 88,762 stars and 13,036 forks.
Trending score: 4.58; stars gained: +326; forks gained: +48.
Language: Rust
Your Personal AI super intelligence. Private, Simple and extremely powerful.
GitHub repository with 30,803 stars and 2,971 forks.
Trending score: 4.37; stars gained: +332; forks gained: +50.
Language: Rust
Codebase intelligence for TypeScript and JavaScript. Free static layer: unused code, duplication, circular deps, complexity hotspots, architecture boundaries. Optional paid runtime layer: hot-path review and cold-path deletion evidence from real production traffic. Rust-native, sub-second, zero-config framework support.
GitHub repository with 3,040 stars and 91 forks.
Trending score: 4.05; stars gained: +346; forks gained: +16.
Language: Rust
Topics: cli, code-quality, dead-code, developer-tools, javascript, linter
agent multiplexer that lives in your terminal.
GitHub repository with 4,330 stars and 264 forks.
Trending score: 4.04; stars gained: +212; forks gained: +3.
Language: Rust
Topics: agent, agent-orchestration, ai, ai-agents, claude-code, cli
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
GitHub repository with 161,293 stars and 33,414 forks.
Trending score: 3.69; stars gained: +78; forks gained: +27.
Language: Python
Topics: nlp, natural-language-processing, pytorch, pytorch-transformers, transformer, model-hub
f.k.a. Awesome ChatGPT Prompts. Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with complete privacy.
GitHub repository with 163,307 stars and 21,224 forks.
Trending score: 3.59; stars gained: +95; forks gained: +10.
Language: HTML
Topics: ai, artificial-intelligence, awesome-list, chatgpt, chatgpt-prompts, claude
Ultralytics YOLO 🚀
GitHub repository with 58,010 stars and 11,142 forks.
Trending score: 3.37; stars gained: +92; forks gained: +16.
Language: Python
Topics: cli, computer-vision, deep-learning, hub, image-classification, instance-segmentation
Extracted system prompts from Anthropic - Claude Code, Claude Design, Opus 4.8, Sonnet 4.6. OpenAI - ChatGPT 5.5 Thinking, GPT 5.5 Instant, Codex, Google - Gemini - 3.5 Flash, 3.1 Pro, Antigravity, xAI - Grok, Cursor, Copilot, VS Code, Perplexity, and more. Updated regularly.
GitHub repository with 41,262 stars and 6,839 forks.
Trending score: 3.20; stars gained: +54; forks gained: +13.
Language: JavaScript
Topics: ai, anthropic, awesome, chatbot, chatgpt, claude
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.
GitHub repository with 26,302 stars and 5,813 forks.
Trending score: 3.17; stars gained: +43; forks gained: +7.
Language: Python
Topics: agentops, agents, ai, ai-governance, apache-spark, evaluation
ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works with Claude Code, Codex, OpenClaw, or any LLM agent.
GitHub repository with 11,404 stars and 1,060 forks.
Trending score: 3.05; stars gained: +45; forks gained: +5.
Language: Python
Topics: ai-research, autonomous-agent, claude-code, codex, mcp, ml-research