Jianwei Yang

faster-rcnn.pytorch. A faster pytorch implementation of faster r-cnn

fpn.pytorch. Pytorch implementation of Feature Pyramid Network (FPN) for Object Detection

graph-rcnn.pytorch. [ECCV 2018] Official code for "Graph R-CNN for Scene Graph Generation"

face-alignment. Face alignment in 3000 FPS

JULE.torch. Torch code for our CVPR 2016 paper "Joint Unsupervised LEarning of Deep Representations and Image Clusters"

lr-gan.pytorch. Pytorch code for our ICLR 2017 paper "Layered-Recursive GAN for image generation"

Person-Specific-FAS. Codes for TIFS paper

C3Net.pytorch. Pytorch code for our NeurIPS 2019 paper "Cross-channel Communication Networks"

face-alignment-cpp. face alignment in 3000fps with C++

stnm.pytorch. Pytorch code for spatial transformer network with mask

dcn.pytorch. PyTorch implementation of Deformable Convolution Networks (Supports Pytorch 1.0)

DeepLearning-500-questions. 深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，近30万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

JULE-Caffe. Caffe version of code for our paper "Joint unsupervised learning of deep representations and image clusters"

High-Dimensional-LBP. My implementation of high dimensional LBP feature for face recognition

EfficientNet-PyTorch. A PyTorch implementation of EfficientNet

CDSSM. CDSSM implementation in torch

PythonRobotics. Python sample codes for robotics algorithms.

Mask_RCNN. Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

transformers. 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

logo-retrieval. C++

ConvNet-1. Convolutional Neural Networks for Matlab, including Invariang Backpropagation algorithm (IBP). Has versions for GPU and CPU, written on CUDA, C++ and Matlab. All versions work identically. The GPU version uses kernels from Alex Krizhevsky's library 'cuda-convnet2'.

attention-is-all-you-need-pytorch. A PyTorch implementation of the Transformer model in "Attention is All You Need".

smolagents. 🤗 smolagents: a barebones library for agents. Agents write python code to call tools and orchestrate other agents.

Focal-Transformer. Official code for "Focal Self-attention for Local-Global Interactions in Vision Transformers"

deep_gcns_torch. Pytorch Repo for "DeepGCNs: Can GCNs Go as Deep as CNNs?" ICCV2019 Oral https://deepgcns.org

Swin-Transformer-Object-Detection. This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Object Detection and Instance Segmentation.

detr. End-to-End Object Detection with Transformers

ConvNeXt. Code release for ConvNeXt model

Swin-Transformer. This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

MachineLearningNotebooks. Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft

EasyOCR. Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

BigGAN-PyTorch. The author's officially unofficial PyTorch BigGAN implementation.

maskrcnn-benchmark. Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

cnn_graph. Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

torchgan. Research Framework for easy and efficient training of GANs based on Pytorch

pytorch-faster-rcnn. I would appreciate if someone can retrain the model. The "finetune from scratch" result should be better because the training details have been changed. (And mobilenet training not supported yet.)

cupy. NumPy-like API accelerated with CUDA

Detectron.pytorch. A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.

RLCourseProject. Reinforcement Learning Course Group Project

cuda-convnet2-pure-cpp. A project converting original cuda-convnet2 to pure cpp project