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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.
🦜🔗 The platform for reliable agents.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
FastAPI framework, high performance, easy to learn, fast to code, ready for production
Robust Speech Recognition via Large-Scale Weak Supervision
Models and examples built with TensorFlow
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
The simplest, fastest repository for training/finetuning medium-sized GPTs.
LlamaIndex is the leading framework for building LLM-powered agents over your data.
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
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
Run your own AI cluster at home with everyday devices 📱💻 🖥️⌚
OpenMMLab Detection Toolbox and Benchmark
⚡ A Fast, Extensible Progress Bar for Python and CLI
You like pytorch? You like micrograd? You love tinygrad! ❤️
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Google Chromium, sans integration with Google
LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source …
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.