2aronS/gpt-mini
Pure Rust implementation of a minimal GPT transformer
GitHub repository with 10 stars and 0 forks.
Language: Rust
Topics: deep-learning, gpt, llm, machine-learning, neural-network, rust, transformer
Pure Rust implementation of a minimal GPT transformer
GitHub repository with 10 stars and 0 forks.
Language: Rust
Topics: deep-learning, gpt, llm, machine-learning, neural-network, rust, transformer
Trending score 0.00, activity score 0.00, stars gained +0, forks gained +0.
2026-06-05: 10 stars and 0 forks.
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 15,335 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
TensorZero is an open-source LLMOps platform that unifies an LLM gateway, observability, evaluation, optimization, and experimentation.
GitHub repository with 11,437 stars and 835 forks.
Trending score: 1.14; stars gained: +10; forks gained: +1.
Language: Rust
Topics: ai, artificial-intelligence, deep-learning, gpt, llm, llmops
ML-powered manga translator, written in Rust.
GitHub repository with 4,529 stars and 253 forks.
Trending score: 1.00; stars gained: +10; forks gained: -1.
Language: Rust
Topics: deep-learning, manga, rust, tauri, japanese, computer-vision
A universal AI toolkit for high-performance Speech-to-Text (STT) and Text-to-Speech (TTS) processing, designed for low-latency and easy model integration.
GitHub repository with 128 stars and 16 forks.
Trending score: 0.67; stars gained: +4; forks gained: +1.
Language: Rust
Topics: experimental, ai, audio-processing, deep-learning, real-time, speech-to-text
A deep learning framework based on the gacha mechanics of Arknights: Endfield. 以《明日方舟:终末地》的抽卡学习为基准的深度学习框架。
GitHub repository with 5 stars and 0 forks.
Trending score: 0.03; stars gained: +0; forks gained: +0.
Language: Rust
Topics: rust, deep-learning, machine-learning, endfield
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 13,751 stars and 852 forks.
Trending score: 5.16; stars gained: +916; forks gained: +44.
Language: Rust
DeepSeek + MiMo coding agent in terminal
GitHub repository with 37,132 stars and 3,195 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 88,827 stars and 13,049 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 30,826 stars and 2,977 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 3,058 stars and 94 forks.
Trending score: 4.05; stars gained: +346; forks gained: +16.
Language: Rust
Topics: cli, code-duplication, code-quality, codebase-intelligence, copy-paste-detection, dead-code
an open source, extensible AI agent that goes beyond code suggestions - install, execute, edit, and test with any LLM
GitHub repository with 46,568 stars and 4,863 forks.
Trending score: 3.80; stars gained: +152; forks gained: +28.
Language: Rust
Topics: acp, ai, ai-agents, mcp
OpenSquilla — Token-Efficient AI Agent with same budget, higher intelligence density
GitHub repository with 3,100 stars and 228 forks.
Trending score: 3.92; stars gained: +201; forks gained: +18.
Language: Python
Topics: agent, ai, ai-agents, deep-learning, foundation-models, llm
🤗 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 161,301 stars and 33,418 forks.
Trending score: 3.69; stars gained: +78; forks gained: +27.
Language: Python
Topics: audio, deep-learning, deepseek, gemma, glm, hacktoberfest
Ultralytics YOLO 🚀
GitHub repository with 58,021 stars and 11,145 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 41,268 stars and 6,842 forks.
Trending score: 3.20; stars gained: +54; forks gained: +13.
Language: JavaScript
Topics: ai, anthropic, awesome, chatbot, chatgpt, claude
An Open Source Machine Learning Framework for Everyone
GitHub repository with 195,549 stars and 75,352 forks.
Trending score: 2.54; stars gained: +22; forks gained: -7.
Language: C++
Topics: deep-learning, deep-neural-networks, distributed, machine-learning, ml, neural-network
Streamlit — A faster way to build and share data apps.
GitHub repository with 44,830 stars and 4,264 forks.
Trending score: 2.52; stars gained: +25; forks gained: +4.
Language: Python
Topics: data-analysis, data-science, data-visualization, deep-learning, developer-tools, machine-learning