dangchenyu

dangchenyu's Stars

• yangshun/tech-interview-handbook

  💯 Curated coding interview preparation materials for busy software engineers

  Language:TypeScript117k14.6k

• AobingJava/JavaFamily

  【Java面试+Java学习指南】 一份涵盖大部分Java程序员所需要掌握的核心知识。

  36k7.8k

• changgyhub/leetcode_101

  LeetCode 101：和你一起你轻松刷题（C++）

  8.2k1.1k

• donnemartin/system-design-primer

  Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

  Language:Python271k45.7k

• seanprashad/leetcode-patterns

  A pattern-based approach for learning technical interview questions

  Language:JavaScript10k1.7k

• Anduin2017/HowToCook

  程序员在家做饭方法指南。Programmer's guide about how to cook at home (Simplified Chinese only).

  Language:Dockerfile66.6k8.7k

• keyvanakbary/learning-notes

  Notes on books I read, talks I watch, articles I study, and papers I love

  Language:SCSS5.4k1.2k

• ZhongFuCheng3y/athena

  Java后端知识图谱🔥 帮助Java初学者成长

  18.8k3.8k

• aras62/PIE

  Annotations for Pedestrian Intention Estimation (PIE) dataset

  Language:Python11637

• ykotseruba/JAAD

  Annotation data for JAAD (Joint Attention in Autonomous Driving) Dataset

  Language:Python16554

• CaoWGG/TensorRT-CenterNet

  tensorrt5 , centernet , centerface, deform conv, int8

  Language:C++767159

• nightmaredimple/libmot

  A Library of Multi-Object Tracking

  Language:Python26044

• decisionforce/TPN

  [CVPR 2020] Temporal Pyramid Network for Action Recognition

  Language:Python39255

• Zhongdao/Towards-Realtime-MOT

  Joint Detection and Embedding for fast multi-object tracking

  Language:Python2.4k539

• ifzhang/FairMOT

  [IJCV-2021] FairMOT: On the Fairness of Detection and Re-Identification in Multi-Object Tracking

  Language:Python4k936

• WangWenhao0716/Adapted-Center-and-Scale-Prediction

  Pytorch implementation of "Adapted Center and Scale Prediction: More stable and More Accurate"

  Language:Python6412

• hasanirtiza/Pedestron

  [Pedestron] Generalizable Pedestrian Detection: The Elephant In The Room. @ CVPR2021

  Language:Python687159

• labuladong/fucking-algorithm

  刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

  Language:Markdown125k23.2k

• facebookresearch/detectron2

  Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

  Language:Python30.1k7.4k

• ultralytics/yolov3

  YOLOv3 in PyTorch > ONNX > CoreML > TFLite

  Language:Python10.2k3.4k

• jwyang/faster-rcnn.pytorch

  A faster pytorch implementation of faster r-cnn

  Language:Python7.7k2.3k

• HRNet/HigherHRNet-Human-Pose-Estimation

  This is an official implementation of our CVPR 2020 paper "HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation" (https://arxiv.org/abs/1908.10357)

  Language:Python1.3k272

• Tencent/FaceDetection-DSFD

  腾讯优图高精度双分支人脸检测器

  Language:Python2.9k729

• alirezadir/Production-Level-Deep-Learning

  A guideline for building practical production-level deep learning systems to be deployed in real world applications.

  4.3k645

• michuanhaohao/reid-strong-baseline

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

  Language:Python2.2k573

• KaiyangZhou/pytorch-vsumm-reinforce

  Unsupervised video summarization with deep reinforcement learning (AAAI'18)

  Language:Python470150

• huaxiuyao/DMVST-Net

  DMVST-Net for AAAI 2018

  Language:Python10651

• ZexinChen/FastPose

  pytorch realtime multi person keypoint estimation

  Language:Jupyter Notebook4010

• open-mmlab/mmdetection

  OpenMMLab Detection Toolbox and Benchmark

  Language:Python29.2k9.4k

• 0voice/interview_internal_reference

  2023年最新总结，阿里，腾讯，百度，美团，头条等技术面试题目，以及答案，专家出题人分析汇总。

  Language:Python36.6k9.4k