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super-open-intelligence-book

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📓 A collection of generative AI open-source repositories that are actively being developed. If you are looking to build a solid profile and land interview, find the repo you like and start shipping.

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# Super Open Intelligence Book

![header](https://raw.githubusercontent.com/hesamsheikh/super-open-intelligence-book/main/assets/header.png)

![GitHub Repo stars](https://img.shields.io/github/stars/hesamsheikh/super-open-intelligence-book) &nbsp;&nbsp;&nbsp; ![Twitter Follow](https://img.shields.io/twitter/follow/Hesamation?style=social)

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A list of open source generative AI projects for developers who want to contribute to building AI, and their portfolio. All of these repositories are actively being developed and maintained.

## 📋 List of Open-Source Projects

### LLM Infra and Optimization

Frameworks, runtimes, and systems for training, inference, and scaling.

| Repo | Description | Stars |
|------|-------------|------|
| [huggingface/transformers](https://github.com/huggingface/transformers) | Core NLP/LLM models (training & inference) | ![GitHub stars](https://img.shields.io/github/stars/huggingface/transformers?style=social) |
| [pytorch/pytorch](https://github.com/pytorch/pytorch) | Deep learning engine, foundation of most LLMs | ![GitHub stars](https://img.shields.io/github/stars/pytorch/pytorch?style=social) |
| [Lightning-AI/pytorch-lightning](https://github.com/Lightning-AI/pytorch-lightning) | High-level training framework | ![GitHub stars](https://img.shields.io/github/stars/Lightning-AI/pytorch-lightning?style=social) |
| [ggerganov/llama.cpp](https://github.com/ggerganov/llama.cpp) | Lightweight LLaMA/LLM inference in pure C++ | ![GitHub stars](https://img.shields.io/github/stars/ggerganov/llama.cpp?style=social) |
| [lm-sys/FastChat](https://github.com/lm-sys/FastChat) | Serving platform for open LLMs (Vicuna, Chatbot Arena) | ![GitHub stars](https://img.shields.io/github/stars/lm-sys/FastChat?style=social) |
| [unslothai/unsloth](https://github.com/unslothai/unsloth) | 2-5x faster LLM fine-tuning with 80% less memory usage | ![GitHub stars](https://img.shields.io/github/stars/unslothai/unsloth?style=social) |
| [huggingface/trl](https://github.com/huggingface/trl) | Transformer Reinforcement Learning - train language models with RLHF | ![GitHub stars](https://img.shields.io/github/stars/huggingface/trl?style=social) |
| [microsoft/DeepSpeed](https://github.com/microsoft/DeepSpeed) | Distributed training and optimization for large models | ![GitHub stars](https://img.shields.io/github/stars/microsoft/DeepSpeed?style=social) |
| [mlflow/mlflow ](https://github.com/mlflow/mlflow) | End-to-end ML lifecycle management (tracking, serving) | ![GitHub stars](https://img.shields.io/github/stars/mlflow/mlflow?style=social)|

### Agents

Multi-agent frameworks and components (e.g. memory).

| Repo | Description | Stars |
|------|-------------|------|
| [camel-ai/camel](https://github.com/camel-ai/camel) | Multi-agent agentic framework. | ![GitHub stars](https://img.shields.io/github/stars/camel-ai/camel?style=social) |
| [mem0ai/mem0](https://github.com/mem0ai/mem0) | Universal memory layer for AI Agents | ![GitHub stars](https://img.shields.io/github/stars/mem0ai/mem0?style=social) |
| [langchain-ai/langchain](https://github.com/langchain-ai/langchain) | Framework for LLM-powered agents & tool use | ![GitHub stars](https://img.shields.io/github/stars/langchain-ai/langchain?style=social) |
| [jerryjliu/llama_index](https://github.com/jerryjliu/llama_index) | Data framework for retrieval-augmented generation (RAG) | ![GitHub stars](https://img.shields.io/github/stars/jerryjliu/llama_index?style=social) |
| [Significant-Gravitas/Auto-GPT](https://github.com/Significant-Gravitas/Auto-GPT) | Autonomous goal-driven GPT-4 agent | ![GitHub stars](https://img.shields.io/github/stars/Significant-Gravitas/Auto-GPT?style=social) |
| [TransformerOptimus/SuperAGI](https://github.com/TransformerOptimus/SuperAGI) | Framework for building & managing autonomous agents | ![GitHub stars](https://img.shields.io/github/stars/TransformerOptimus/SuperAGI?style=social) |
| [microsoft/semantic-kernel](https://github.com/microsoft/semantic-kernel) | SDK for LLM orchestration (skills, memory) | ![GitHub stars](https://img.shields.io/github/stars/microsoft/semantic-kernel?style=social) |
| [FlowiseAI/Flowise](https://github.com/FlowiseAI/Flowise) | Low-code visual builder for LLM workflows | ![GitHub stars](https://img.shields.io/github/stars/FlowiseAI/Flowise?style=social) |
| [FoundationAgents/MetaGPT](https://github.com/FoundationAgents/MetaGPT) | Multi-Agent Framework | ![GitHub stars](https://img.shields.io/github/stars/FoundationAgents/MetaGPT?style=social) |
| [langchain-ai/langgraph](https://github.com/langchain-ai/langgraph) | Build resilient language agents as graphs. | ![GitHub stars](https://img.shields.io/github/stars/langchain-ai/langgraph?style=social) |

### Datasets

Open datasets & dataset tools for training or fine-tuning models.

| Repo | Description | Stars |
|------|-------------|------|
| | (This section will be expanded) | |

### Evals and Benchmarks

Frameworks for testing and benchmarking LLMs & agents.

| Repo | Description | Stars |
|------|-------------|------|
| [EleutherAI/lm-evaluation-harness](https://github.com/EleutherAI/lm-evaluation-harness) | A framework for few-shot evaluation of language models | ![GitHub stars](https://img.shields.io/github/stars/EleutherAI/lm-evaluation-harness?style=social) |
| [confident-ai/deepeval](https://github.com/confident-ai/deepeval) | The LLM Evaluation Framework | ![GitHub stars](https://img.shields.io/github/stars/confident-ai/deepeval?style=social) |

### Tools and Extensions

Libraries, plugins, and utilities that extend LLM/GenAI usage.

| Repo | Description | Stars |
|------|-------------|------|
| [huggingface/diffusers](https://github.com/huggingface/diffusers) | Diffusion models for image/audio/video generation | ![GitHub stars](https://img.shields.io/github/stars/huggingface/diffusers?style=social) |

## ✨ Call to Contributions
If there are hot repositories missing, add them.

If any of these repositories are now stale, remove them.

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