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100-days-of-ml-code

100-Days-Of-ML-Code中文版

bilibili

ccnet

CCNet: Criss-Cross Attention for Semantic Segmentation (ICCV 2019).

d2l-zh

《动手学深度学习》，英文版即伯克利深度学习（STAT 157，2019春）教材。面向中文读者、能运行、可讨论。

deep_sort_pytorch

MOT tracking using deepsort yolo3 with pytorch

deep_sort_yolov3

Real-time Multi-person tracker using YOLO v3 and deep_sort with tensorflow

detection

基于视频的行人流量密度检测

guns-lite

基于spring boot脚手架项目，spring data jpa+Spring Boot2+bootstrap/vuejs完整的后台管理系统

hikaricp

CRUD Spring Boot + Spring Data JPA + ThymeLeaf + HikariCP + MySQL

hsweb-framework

hsweb (haʊs wɛb) 是一个用于快速搭建企业后台管理系统的基础项目,集成一揽子便捷功能如:通用增删改查，在线代码生成，权限管理，OAuth2.0 ,动态多数据源分布式事务，动态脚本，动态定时任务，在线数据库维护等等. 基于 spring-boot,mybaits

human-pose-estimation.pytorch

The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"

ios_logger

Application for camera and sensor data logging (iOS)

mace

MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.

openpose-plus

High-Performance and Flexible Pose Estimation Framework using TensorFlow, OpenPose and TensorRT

pointnet

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

pycv

Website of the book "Learn OpenCV 3 with Python"

pyntcloud

pyntcloud is a Python library for working with 3D point clouds.

pytorch-encoding

A PyTorch CV Toolkit

resnest

ResNeSt: Split-Attention Network

spring-boot

Spring Boot

springbootbucket

Springboot bucket

springbootlearning

structure_via_consensus

Towards Learning Structure via Consensus for Face Segmentation and Parsing (CVPR 2020)

tensorexpand

集成包

unbox_yolov5_deepsort_counting

yolov5 deepsort 行人 车辆 跟踪 检测 计数

wolpertinger_ddpg

Wolpertinger Training with DDPG (Pytorch), Deep Reinforcement Learning in Large Discrete Action Spaces. Multi-GPU/Singer-GPU/CPU compatible.

yolov3

YOLOv3 in PyTorch > ONNX > CoreML > iOS

yolov5_deepsort_pytorch

Real-time multi-person tracker using YOLO v5 and deep sort

zkwg_test