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models-1

A collection of pre-trained, state-of-the-art models in the ONNX format

monodepth

Unsupervised single image depth prediction with CNNs

ms-d_net

A mixed-scale dense convolutional neural network for image analysis

mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

mymdp_tracking

对作者源码进行了大幅度的性能改进，运行速度和内存占用都有巨大的改善，算法的各种评测指标基本保持不变

nni

An open source AutoML toolkit for neural architecture search, model compression and hyper-parameter tuning.

offer

剑指offer

open3d

Open3D: A Modern Library for 3D Data Processing

opencv

Open Source Computer Vision Library

opencv_contrib

Repository for OpenCV's extra modules

pack

背包问题九讲

pangaeatracking

paperpass

pidng

Create Adobe DNG RAW files using Python. Works with any Bayer RAW Data including native support for Raspberry Pi cameras.

places_devkit

Development kit for the data of the Places365-Standard and Places365-Challenge

pvn3d

Code for "PVN3D: A Deep Point-wise 3D Keypoints Hough Voting Network for 6DoF Pose Estimation", CVPR 2020

py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

pytorch-pose-hg-3d

PyTorch implementation for 3D human pose estimation

pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

rude-carnie

Age/Gender detection in Tensorflow

scikit-video

Video Processing in Python

sedumi

SeDuMi: A linear/quadratic/semidefinite solver for Matlab and Octave

senet-tensorflow

Simple Tensorflow implementation of Squeeze Excitation Networks (ResNeXt, Inception-v4, Inception-resnet-v2). Include focal loss, center loss.

sfmlearner

An unsupervised learning framework for depth and ego-motion estimation from monocular videos

shortest-path-via-specified-nodes

shortest path via specified nodes, 华为软件精英挑战赛西北赛区32强

sort

Simple, online, and realtime tracking of multiple objects in a video sequence.

subcnn

Subcategory-aware Convolutional Neural Networks for Object Proposals and Detection

tensorflow

Computation using data flow graphs for scalable machine learning

the-art-of-command-line

Master the command line, in one page

tutorials

PyTorch tutorials.