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de_resnet_unet_hyb

Depth estimation from RGB images using fully convolutional neural networks.

depthawarecnn

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

derain_filter

Derain filter in FFmpeg for GSoC

deraindrop

Attentive Generative Adversarial Network for Raindrop Removal from A Single Image (CVPR 2018)

derainzoo

DerainZoo for collecting deraining methods, datasets, and codes.

did-mdn

Density-aware Single Image De-raining using a Multi-stream Dense Network (CVPR 2018)

dilation-keras

Multi-Scale Context Aggregation by Dilated Convolutions in Keras.

dilation-pytorch-semantic-segmentation

A PyTorch implementation of semantic segmentation according to Multi-Scale Context Aggregation by Dilated Convolutions by Yu and Koltun.

dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

dl-4-tsc

Deep Learning for Time Series Classification

dl-uncertainty

"What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?", NIPS 2017 (unofficial code).

dl4cv

Deep Learning For Computer Vision

dl4cvstarterbundle

Edited code examples from the book 'Deep Learning for Computer Vision - Starter Bundle' by Adrian Rosebrock

dlrm

An implementation of a deep learning recommendation model (DLRM)

dropoutuncertaintyexps

Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"

dsc

CVPR 2018 (Oral) & TPAMI 2019

dsc-pytorch

A PyTorch implementation of "Direction-Aware Spatial Context Features for Shadow Detection" CVPR'18 | T-PAMI'19

ealstm_regional_modeling

The Proper Care and Feeding of CAMELS: How Limited Training Data Affects Streamflow Prediction

ealstm_regional_modeling-1

Accompanying code for our HESS paper "Towards learning universal, regional, and local hydrological behaviors via machine learning applied to large-sample datasets"

ecunano

efficient-gan-anomaly-detection

embedding_zero-shot-learning

embeddings2image

create "Karpathy's style" 2d images out of your image embeddings

enet-real-time-semantic-segmentation

ENet - A Neural Net Architecture for real time Semantic Segmentation

evidential-deep-learning-to-quantify-classification-uncertainty

Work on Evidential Deep Learning to Quantify Classification Uncertainty

fast-pixel-cnn

Speed up PixelCNN++ image generation by up to a 183 times

fast-wavenet

Speedy Wavenet generation using dynamic programming :zap:

fastderain

The implementation and video results of FastDeRain and DIP

fcn-pytorch

🚘 Easiest Fully Convolutional Networks

fgsegnet

FgSegNet: Foreground Segmentation Network, Foreground Segmentation Using Convolutional Neural Networks for Multiscale Feature Encoding