Starred repositories
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…
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
State-of-the-art 2D and 3D Face Analysis Project
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
PyTorch implementations of Generative Adversarial Networks.
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
Source Han Sans | 思源黑体 | 思源黑體 | 思源黑體 香港 | 源ノ角ゴシック | 본고딕
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
Simple Online Realtime Tracking with a Deep Association Metric
Count the MACs / FLOPs of your PyTorch model.
Torchreid: Deep learning person re-identification in PyTorch.
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
Differentiable architecture search for convolutional and recurrent networks
Tensorflow prebuilt binary for Windows
text detection mainly based on ctpn model in tensorflow, id card detect, connectionist text proposal network
SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection
PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"
Bag of Tricks and A Strong Baseline for Deep Person Re-identification
Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis)
A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility
(CRNN) Chinese Characters Recognition.
PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)
Automated deep learning algorithms implemented in PyTorch.
Implementation of Non-local Block.
