Lists (21)
AI coding
🌱 Concept models
List for concept modelsConv AI
🗄️ Datasets
⏳Diffusion LLMs
🧠Encoder Decoder
Event Python
🔮 Future ideas
✨ Inspiration
🧠 LLM
🤖 LLM Agents
🔍 LLM Eval
🔊🖼️LLM Omni
LLM personas
LLM proxy
🤘 LLM training
🕸️Memory for Agents
🔵 Prompt enginnering
🕸️Proxies
Safety GenAI
📝 Scientiffic papers
Stars
Get up and running with Kimi-K2.5, GLM-5, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.
🤗 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.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
A high-throughput and memory-efficient inference and serving engine for LLMs
A latent text-to-image diffusion model
Examples and guides for using the OpenAI API
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
Unsloth Studio is a web UI for training and running open models like Qwen, DeepSeek, gpt-oss and Gemma locally.
The simplest, fastest repository for training/finetuning medium-sized GPTs.
LlamaIndex is the leading document agent and OCR platform
Learn how to develop, deploy and iterate on production-grade ML applications.
The original local LLM interface. Text, vision, tool-calling, training, and more. 100% offline.
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
PyTorch Tutorial for Deep Learning Researchers
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
A playbook for systematically maximizing the performance of deep learning models.
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
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 control…
Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Fast HTTP package for Go. Tuned for high performance. Zero memory allocations in hot paths. Up to 10x faster than net/http
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.