Stars
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Models and examples built with TensorFlow
The world's simplest facial recognition api for Python and the command line
A toolkit for developing and comparing reinforcement learning algorithms.
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Real-time face swap for PC streaming or video calls
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Generative Models by Stability AI
State-of-the-art 2D and 3D Face Analysis Project
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Datasets, Transforms and Models specific to Computer Vision
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
A PyTorch implementation of the Transformer model in "Attention is All You Need".
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
The official repo of Qwen-VL (通义千问-VL) chat & pretrained large vision language model proposed by Alibaba Cloud.
SUPIR aims at developing Practical Algorithms for Photo-Realistic Image Restoration In the Wild. Our new online demo is also released at suppixel.ai.
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722
Perceptual video quality assessment based on multi-method fusion.
⛹️ Pytorch ReID: A tiny, friendly, strong pytorch implement of person re-id / vehicle re-id baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial
Differentiable architecture search for convolutional and recurrent networks
Semantic Segmentation Architectures Implemented in PyTorch
Code for reproducing results in "Glow: Generative Flow with Invertible 1x1 Convolutions"
PyTorch implementation of Super SloMo by Jiang et al.
Code for visualizing the loss landscape of neural nets
Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)