Stars
MLGB is a library that includes many models of CTR Prediction & Recommender System by TensorFlow & PyTorch. MLGB是一个包含50+点击率预估和推荐系统深度模型的、通过TensorFlow和PyTorch撰写的库。
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Multi Task Vision and Language
Research code for ECCV 2020 paper "UNITER: UNiversal Image-TExt Representation Learning"
A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型
PyTorch source code for "Stacked Cross Attention for Image-Text Matching" (ECCV 2018)
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Google AI 2018 BERT pytorch implementation
Bag of Tricks and A Strong Baseline for Deep Person Re-identification
Official source code of "Batch DropBlock Network for Person Re-identification and Beyond" (ICCV 2019)
Enhancing Person Re-Identification in a self-trained subspace
video-based person reid in pytorch0.4.0
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
pytorch version of pseudo-3d-residual-networks(P-3D), pretrained model is supported
Diversity Regularized Spatiotemporal Attention for Video-based Person Re-identification
Tensorflow implementation of our NIPS 2017 paper "Pose Guided Person Image Generation"
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
Pytorch code for Deep Kronecker-Product Matching and Group-shuffling Random Walk for Person Re-ID [TPAMI]
Alignedreid＋+: Dynamically Matching Local Information for Person Re-Identification.
Deep metric learning methods implemented in Chainer
Code for our CVPR 2018 paper - Human Semantic Parsing for Person Re-identification
A PyTorch implementation for PyramidNets (Deep Pyramidal Residual Networks, https://arxiv.org/abs/1610.02915)