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deep-learning-in-production

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

deep-synth

Public code release for our SIGGRAPH 2018 paper "Deep Convolutional Priors for Indoor Scene Synthesis"

deepfovea

Neural Reconstruction for Foveated Rendering and Video Compression using Learned Statistics of Natural Videos

deepgrabcut-pytorch

Deep GrabCut in PyTorch

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为15个章节，近20万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deeplearningcoursecodes

Notes, Codes, and Tutorials for the Deep Learning Course <which I taught at ChinaHadoop>

deepvoxels

densecap

Dense image captioning in Torch

depth-camera-web-demo

depthawarecnn

Depth-aware CNN for RGB-D Segmentation, ECCV 2018

detectron2

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

dfnet

Deep Fusion Network for Image Completion.

difrint

TOG20/SIGGRAPH Asia19 "Deep Iterative Frame Interpolation for Full-frame Video Stabilization" - PyTorch

dl-setup

Instructions for setting up the software on your deep learning machine

dmitryulyanov.github.io

dutcode

Pytorch implementation of DUT: Learning Video Stabilization by Simply Watching Unstable Videos

edsr-pytorch

PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)

face-depixelizer

Face Depixelizer based on "PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models" repository.

fastext

Efficient Unconstrained Scene Text Detector

favoritepapers

fcn_text

ffmpeg

Mirror of https://git.ffmpeg.org/ffmpeg.git

fots

An Implementation of the FOTS: Fast Oriented Text Spotting with a Unified Network

frnn

Code for Folded Recurrent Neural Networks

fucking-algorithm

手把手撕LeetCode题目，扒各种算法套路的裤子，not only how，but also why. English version supported!

generative-temporal-models-with-spatial-memory

glow-pytorch

pytorch implementation of openai paper "Glow: Generative Flow with Invertible 1×1 Convolutions"

google-interview-university

A complete daily plan for studying to become a Google software engineer.

hangzhou_house_knowledge

2017年买房经历总结出来的买房购房知识分享给大家，希望对大家有所帮助。买房不易，且买且珍惜。Sharing the knowledge of buy an own house that according to the experience at hangzhou in 2017 to all the people. It's not easy to buy a own house, so I hope that it would be useful to everyone.

image-denoising-benchmark

Benchmarking Denoising Algorithms with Real Photographs