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blockchain data
book
Causal inference
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data science
data visualization
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datasets
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Health data
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AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Models and examples built with TensorFlow
Robust Speech Recognition via Large-Scale Weak Supervision
Hunt down social media accounts by username across social networks
Interact with your documents using the power of GPT, 100% privately, no data leaks
The world's simplest facial recognition api for Python and the command line
A natural language interface for computers
Platform to experiment with the AI Software Engineer. Terminal based. NOTE: Very different from https://gptengineer.app
The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.
openpilot is an operating system for robotics. Currently, it upgrades the driver assistance system in 275+ supported cars.
A collection of learning resources for curious software engineers
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
Making large AI models cheaper, faster and more accessible
real time face swap and one-click video deepfake with only a single image
🎨 Diagram as Code for prototyping cloud system architectures
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
The simplest, fastest repository for training/finetuning medium-sized GPTs.
LlamaIndex is a data framework for your LLM applications
Official Code for DragGAN (SIGGRAPH 2023)
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
💫 Industrial-strength Natural Language Processing (NLP) in Python
Code and documentation to train Stanford's Alpaca models, and generate the data.
Instant voice cloning by MIT and MyShell.