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Tensors and Dynamic neural networks in Python with strong GPU acceleration
A high-throughput and memory-efficient inference and serving engine for LLMs
Models and examples built with TensorFlow
scikit-learn: machine learning in Python
openpilot is an operating system for robotics. Currently, it upgrades the driver assistance system on 300+ supported cars.
TensorFlow code and pre-trained models for BERT
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
A toolkit for developing and comparing reinforcement learning algorithms.
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
OpenMMLab Detection Toolbox and Benchmark
⚡ A Fast, Extensible Progress Bar for Python and CLI
Simulation platform for general-purpose robotics & embodied AI learning.
State-of-the-art 2D and 3D Face Analysis Project
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…
Fully open reproduction of DeepSeek-R1
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Code for the paper "Language Models are Unsupervised Multitask Learners"
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.
Open standard for machine learning interoperability
Magenta: Music and Art Generation with Machine Intelligence
Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.