Stars
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Models and examples built with TensorFlow
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
PyTorch Tutorial for Deep Learning Researchers
⚡ A Fast, Extensible Progress Bar for Python and CLI
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Python sample codes and textbook for robotics algorithms.
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
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 …
Official inference framework for 1-bit LLMs
Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.
PyTorch implementations of Generative Adversarial Networks.
Datasets, Transforms and Models specific to Computer Vision
🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
A command-line productivity tool powered by AI large language models like GPT-4, will help you accomplish your tasks faster and more efficiently.
🐍 Geometric Computer Vision Library for Spatial AI
A collaboration friendly studio for NeRFs
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.
An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
Keras implementations of Generative Adversarial Networks.
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch