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yjq631160551's Projects

ief icon ief

Iterative Error Feedback

it_book icon it_book

本项目收藏这些年来看过或者听过的一些不错的常用的上千本书籍,没准你想找的书就在这里呢,包含了互联网行业大多数书籍和面试经验题目等等。有人工智能系列(常用深度学习框架TensorFlow、pytorch、keras。NLP、机器学习,深度学习等等),大数据系列(Spark,Hadoop,Scala,kafka等),程序员必修系列(C、C++、java、数据结构、linux,设计模式、数据库等等)

keypoints icon keypoints

A pytorch implementation of Google's paper <Towards Accurate Multi-person Pose Estimation in the Wild>

leetcode-go icon leetcode-go

✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解

mmpose icon mmpose

OpenMMLab Pose Estimation Toolbox and Benchmark.

mspn icon mspn

Multi-Stage Pose Network

nas-fcos icon nas-fcos

NAS-FCOS: Fast Neural Architecture Search for Object Detection (CVPR 2020)

openpose icon openpose

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

pose-ae-train icon pose-ae-train

Training code for "Associative Embedding: End-to-End Learning for Joint Detection and Grouping"

pose-attention icon pose-attention

Code for "Multi-Context Attention for Human Pose Estimation " (CVPR 2017)

pytorch-book icon pytorch-book

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch:入门与实战》)

repdistiller icon repdistiller

[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods

repmlp icon repmlp

RepMLP: Re-parameterizing Convolutions into Fully-connected Layers for Image Recognition

simple-hrnet icon simple-hrnet

Multi-person Human Pose Estimation with HRNet in Pytorch

srfbn_cvpr19 icon srfbn_cvpr19

Pytorch code for our paper "Feedback Network for Image Super-Resolution" (CVPR2019)

structure_knowledge_distillation icon structure_knowledge_distillation

The official code for the paper 'Structured Knowledge Distillation for Semantic Segmentation'. (CVPR 2019 ORAL) and extension to other tasks.

tf-cpn icon tf-cpn

a tensorflow implementation of CPN (Cascaded Pyramid Network for Multi-Person Pose Estimation)

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