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3d-resnets-pytorch

3D ResNets for Action Recognition (CVPR 2018)

500lines

500 Lines or Less

actnet-inact

This repository is intended to host tools and demos for ActivityNet

ait

algorithm-visualizer

:fireworks:Interactive Online Platform that Visualizes Algorithms from Code

autogluon

AutoGluon: AutoML Toolkit for Deep Learning

awesome-nas

A curated list of neural architecture search (NAS) resources.

awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

c3d

C3D is a modified version of BVLC caffe to support 3D ConvNets.

caffe-syn

caffe2

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

caffe_ssd

Caffe: a fast open framework for deep learning.

charades-algorithms

Activity Recognition Algorithms for the Charades Dataset

craftgbd

code for CUImage and CUVideo

curve-text-detector

deepdraw

Notebook example of how to generate class visualizations with Caffe

deepface

Face analysis mainly based on Caffe. At this time, face analysis tasks like detection, alignment and recognition have been done.

deepvisualization

dense_flow

Tools to extract dense optical flow from videos, based on OpenCV

dqn-in-the-caffe

An implementation of Deep Q-Network using Caffe

easypr

An open source project for chinese plate recognition. It aims to be Easy, Flexible, and Accurate. Welcome to contribute your expertise !

face-landmark-localization

cnn network predict face landmarks (68 points) and head pose (3d pose, yaw,roll,pitch).

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

ffmpeg_hw_decode

video stream hardware decoding and color space conversion by ffmpeg and cuda. thread safe.

git_dir

hacs-dataset

HACS: Human Action Clips and Segments Dataset

huxpro.github.io

My Blog / Jekyll Themes / PWA

im2flow

Im2Flow: Motion Hallucination from Static Images for Action Recognition (CVPR 2018)

lightgbm

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.