RQuispeC

RQuispeC's Stars

• microsoft/DeepSpeed

  DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

  Language:Python36.5k3482.9k4.2k

• HarisIqbal88/PlotNeuralNet

  Latex code for making neural networks diagrams

  Language:TeX23.9k2251243k

• benedekrozemberczki/awesome-graph-classification

  A collection of important graph embedding, classification and representation learning papers with implementations.

  Language:Python4.8k21410737

• facebookresearch/StarSpace

  Learning embeddings for classification, retrieval and ranking.

  Language:C++4k172199526

• shenweichen/GraphEmbedding

  Implementation and experiments of graph embedding algorithms.

  Language:Python3.8k62661k

• JDAI-CV/fast-reid

  SOTA Re-identification Methods and Toolbox

  Language:Python3.7k59642858

• synthetichealth/synthea

  Synthetic Patient Population Simulator

  Language:Java2.7k77590771

• NVlabs/MUNIT

  Multimodal Unsupervised Image-to-Image Translation

  Language:Python2.7k73105484

• chihming/awesome-network-embedding

  A curated list of network embedding techniques.

  2.6k19315504

• michuanhaohao/reid-strong-baseline

  Bag of Tricks and A Strong Baseline for Deep Person Re-identification

  Language:Python2.3k50219583

• huggingface/pytorch-openai-transformer-lm

  🐥A PyTorch implementation of OpenAI's finetuned transformer language model with a script to import the weights pre-trained by OpenAI

  Language:Python1.5k9139285

• leeyeehoo/CSRNet-pytorch

  CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes

  Language:Jupyter Notebook7012598269

• JDAI-CV/DCL

  Destruction and Construction Learning for Fine-grained Image Recognition

  Language:Python5931677158

• daizuozhuo/batch-dropblock-network

  Official source code of "Batch DropBlock Network for Person Re-identification and Beyond" (ICCV 2019)

  Language:Python32792589

• KovenYu/MAR

  Pytorch code for our CVPR'19 (oral) work: Unsupervised person re-identification by soft multilabel learning

  Language:Python315123883

• VITA-Group/ABD-Net

  [ICCV 2019] "ABD-Net: Attentive but Diverse Person Re-Identification" https://arxiv.org/abs/1908.01114

  Language:Python308104056

• zhunzhong07/ECN

  Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-identification CVPR 2019

  Language:Python304101959

• MIVRC/MSRN-PyTorch

  This repository is a PyTorch version of the paper "Multi-scale Residual Network for Image Super-Resolution" (ECCV 2018).

  Language:Python300102756

• chenbinghui1/MHN

  ICCV2019

  Language:Python18281535

• jackie840129/STE-NVAN

  Spatially and Temporally Efficient Non-local Attention Network for Video-based Person Re-Identification (BMVC 2019)

  Language:Python14332321

• YantaoShen/kpm_rw_person_reid

  Pytorch code for Deep Kronecker-Product Matching and Group-shuffling Random Walk for Person Re-ID [TPAMI]

  Language:Python1036930

• QizeYang/PAUL

  Language:Python9142616

• microsoft/MIMICS

  MIMICS: A Large-Scale Data Collection for Search Clarification

  771048

• cswluo/CrossX

  This is the PyTorch implementation of our paper "Cross-X learning for Fine-Grained Visual Categorization"

  Language:Python745710

• xcnkx/fine_grained_classification

  Language:Python53427

• chenbinghui1/Hybrid-Attention-based-Decoupled-Metric-Learning

  Caffe implementation of CVPR2019 paper "Hybrid-Attention based Decoupled Metric Learning for Zero-Shot Image Retrieval"

  Language:C++43218

• RQuispeC/top-dropblock

  Official implementation of "Top Batch DropBlock for Person Re-Identification" ICPR 2020

  Language:Python273119

• ZJULearning/PTL

  Progressive Transfer Learning for Person Re-identification published on IJCAI-2019

  Language:Python26429

• RQuispeC/saliency-semantic-parsing-reid

  Official implementation of "Improved Person Re-Identification Based on Saliency and Semantic Parsing with Deep Neural Network Models" IMAVIS 2019

  Language:Python14259

• RQuispeC/multi-stream-crowd-counting-extended

  Code for "Multi-Stream Networks and Ground-Truth Generation for Crowd Counting" presented in IJECES

  Language:Python3001