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3d-resnets-pytorch

3D ResNets for Action Recognition (CVPR 2018)

3d-vehicle-tracking

Official implementation of Joint Monocular 3D Detection and Tracking (ICCV 2019)

3ddfa

The PyTorch improved version of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution.

a-light-and-fast-face-detector-for-edge-devices

A light and fast one class detection framework for edge devices. We provide face detector, head detector, pedestrian detector, vehicle detector......

a-pytorch-tutorial-to-object-detection

SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection

advanced-deep-learning-with-keras

Advanced Deep Learning with Keras, published by Packt

android-nn-driver

attentionimageclass

Multi-label Image Recognition by Recurrently Discovering Attentional Regions (Pytorch implementation)

awesome-crowd-counting

Awesome Crowd Counting

awesome-go

A curated list of awesome Go frameworks, libraries and software

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

bgslibrary

A C++ Background Subtraction Library with wrappers for Python, MATLAB, Java and GUI on QT

bottom-up-clustering-person-re-identification

A Bottom-Up Clustering Approach to Unsupervised Person Re-identification, AAAI 2019 (Oral)

caffe

A fork of Caffe with OpenMPI-based Multi-GPU (mainly data parallel) support for action recognition and more. More documentation please see the original readme.

caffe-cnn-models

ImageNet pre-trained models with batch normalization for the Caffe framework

caffe-int8-convert-tools

Generate a quantization parameter file for ncnn framework int8 inference

caffe_ocr

主流ocr算法研究实验性的项目，目前实现了CNN+BLSTM+CTC架构

caffelstm-ocr

基于caffe的LSTM OCR案例，能够利用该案例完成序列的识别，包括验证码、车牌、身份证号码、地址等长序列动长的内容识别

caffemodelcompression

Tool to compress trained caffe weights

captum

Model interpretability and understanding for PyTorch

ce2p

clothing-co-parsing

CCP dataset from "Clothing Co-Parsing by Joint Image Segmentation and Labeling " (CVPR 2014)

coco-annotator

:pencil2: Web-based image segmentation tool for object detection, localization and keypoints

colossalai

Making big AI models cheaper, easier, and scalable

coursera-deep-learning-specialization

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

coursera-machine-learning-stanford

Machine learning-Stanford University

crowd-counting-scnn

This project is an implementation of the crowd counting model proposed in our CVPR 2017 paper - Switching Convolutional Neural Network(SCNN) for Crowd Counting. SCNN is an adaptation of the fully-convolutional neural network and uses an expert CNN that chooses the best crowd density CNN regressor for parts of the scene from a bag of regressors. This helps it tackle intra-scene crowd density variation and obtain SOTA results

crowdcount-cascaded-mtl

Single Image Crowd Counting (CNN-based Cascaded Multi-task Learning of High-level Prior and Density Estimation for Crowd Counting)

crowdcount-mcnn

Single Image Crowd Counting via MCNN (Unofficial Implementation)