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ctpn

Detecting Text in Natural Image with Connectionist Text Proposal Network

cvpr14mtl

Scalable Multitask Representation Learning for Scene Classification

cvpr2017_gan_tutorial

CVPR'17 GAN Tutorial

cvpr2018nkn

Tensorflow implementation of the CVPR 2018 paper: Neural Kinematic Networks for Unsupervised Motion Retargetting

dae_fbx_to_bvh

Batch converter of .dae and .fbx files to .bvh with help of Blender.

data-science-blogs

A curated list of data science blogs

decomr

Repository for the paper " 3D Human Mesh Regression with Dense Correspondence "

deep-bgremove

Pytorch Tool that uses Deeplabv3 and MoviePy to produce masks for removing backgrounds from images (but keeping people). Green screening without the green screen.

deep-learning-book-chapter-summaries

Attempting to make the Deep Learning Book easier to understand.

deepgrabcut-pytorch

Deep GrabCut in PyTorch

deeplearningbook

MIT Deep Learning Book in PDF format

dense_flow

denseflow

Extracting optical flow and frames

densetrack

digital_video_introduction

A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding).

dn_caffescript

dsntnn

PyTorch implementation of DSNT

edward

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

estimating-gradients-without-replacement

Estimating Gradients for Discrete Random Variables by Sampling without Replacement

everybodydancenow_reproduce_pytorch

Everybody dance now reproduced in pytorch

fast_human_pose_estimation_pytorch

Pytorch Code for CVPR2019 paper "Fast Human Pose Estimation" https://arxiv.org/abs/1811.05419

faster-kmeans

Code for a faster K-means clustering heuristic

faster_rcnn

Faster R-CNN

fishnet

Implementation code of the paper: FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction, NeurIPS 2018

gdlnotes

Google Deep Learning Notes（TensorFlow教程）

github-roam

GitHub 漫游指南- a Chinese ebook on how to build a good build on Github. Explore the users' behavior. Find some thing interest.

gmm-torch

Gaussian mixture models in PyTorch.

graph-lstm

LSTM implementation, and multi-layer LSTMs for learning on graph neighborhoods

h36m-toolbox

hiddenlayer

Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.