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Highlights
- Pro
Starred repositories
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Stable Diffusion web UI
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)
The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.
A Gradio web UI for Large Language Models with support for multiple inference backends.
Langflow is a low-code app builder for RAG and multi-agent AI applications. It’s Python-based and agnostic to any model, API, or database.
Opiniated RAG for integrating GenAI in your apps 🧠 Focus on your product rather than the RAG. Easy integration in existing products with customisation! Any LLM: GPT4, Groq, Llama. Any Vectorstore: …
Streamlit — A faster way to build and share data apps.
A high-throughput and memory-efficient inference and serving engine for LLMs
Python packaging and dependency management made easy
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Platform for building AI that can learn and answer questions over federated data.
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
A modular graph-based Retrieval-Augmented Generation (RAG) system
💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
newspaper3k is a news, full-text, and article metadata extraction in Python 3. Advanced docs:
Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational using LLMs (GPT 3.5 / 4, Anthropic, VertexAI) and RAG.
PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis
Python version of the Playwright testing and automation library.
Private chat with local GPT with document, images, video, etc. 100% private, Apache 2.0. Supports oLLaMa, Mixtral, llama.cpp, and more. Demo: https://gpt.h2o.ai/ https://gpt-docs.h2o.ai/