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ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

alphaction

Spatio-Temporal Action Localization System

alphapose

Real-Time Multi-Person Pose Estimation System

alpr-unconstrained

License Plate Detection and Recognition in Unconstrained Scenarios

android_apps

Applications built on top of the rosjava android libraries.

apollo-platform

Collections of Apollo Platform Software

bagoffeatures

bag of features implementation

blam-windows-vs2013-

blam算法-改写成windows版本，去除了ROS框架，可直接输入点云数据测试

caffe

Caffe on both Linux and Windows

caffe-lstm

LSTM implementation on Caffe

caffe2

Caffe2 is a lightweight, modular, and scalable deep learning framework.

caffejs

Run Caffe models in the browser using ConvNetJS

cartographer_windows

谷歌建图算法-windows版本

cornernet-lite

cyclegan

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

darknet

Convolutional Neural Networks

deep-association-learning

Code on Paper [BMVC2018]Deep Association Learning for Unsupervised Video Person Re-identification

deep-high-resolution-net.pytorch

The project is an official implement of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

deep-person-reid

Pytorch implementation of deep person re-identification models.

deep_sort_yolov3

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

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

deepsocial

Social Distancing Monitoring and Infection Risk Assessment in COVID-19 Pandemic and Beyond

digits

Deep Learning GPU Training System

dummy-robot

我的超迷你机械臂机器人项目。

eanet

EANet: Enhancing Alignment for Cross-Domain Person Re-identification

easyopenpose

OpenPose的简单实现

effective_robotics_programming_with_ros

Effective Robotics Programming with ROS

electronbot

exbot_xi

facial-expression-recognition.pytorch

A CNN based pytorch implementation on facial expression recognition (FER2013 and CK+), achieving 73.112% (state-of-the-art) in FER2013 and 94.64% in CK+ dataset