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🤗 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.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Robust Speech Recognition via Large-Scale Weak Supervision
The Python micro framework for building web applications.
scikit-learn: machine learning in Python
openpilot is an operating system for robotics. Currently, it upgrades the driver assistance system on 300+ supported cars.
A toolkit for developing and comparing reinforcement learning algorithms.
The fundamental package for scientific computing with Python.
The official Python library for the OpenAI API
Code for the paper "Language Models are Unsupervised Multitask Learners"
The ChatGPT Retrieval Plugin lets you easily find personal or work documents by asking questions in natural language.
Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
tiktoken is a fast BPE tokeniser for use with OpenAI's models.
An educational resource to help anyone learn deep reinforcement learning.
A PyTorch implementation of the Transformer model in "Attention is All You Need".
A community driven list of useful Scala libraries, frameworks and software.
Official repo for consistency models.
DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding
Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-contrib-python-headless packages.
Gemma open-weight LLM library, from Google DeepMind
Robotics Toolbox for Python