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domain-generalization

All about domain generalization

dorefanet-pytorch

dpc-darts

neural architecture search

dropblock

Pytorch implementation of DropBlock: A regularization method for convolutional networks (https://arxiv.org/abs/1810.12890v1)

ds-1000

Official data and code release for the paper "DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation".

dsbn

Official Implementation of "Domain Specific Batch Normalization for Unsupervised Domain Adaptation (CVPR2019)"

dsq

pytorch implementation of "Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks"

dst-cbc

Implementation of our paper "Semi-Supervised Semantic Segmentation via Dynamic Self-Training and Class-Balanced Curriculum"

dsxplore

DSXplore: Optimizing Convolutional Neural Networks via Sliding-Channel Convolutions [IPDPS-2021]

dta.pytorch

Official implementation of Drop to Adapt: Learning Discriminative Features for Unsupervised Domain Adaptation, to be presented at ICCV 2019.

dtq

PyTorch implementation of "Deep Transferring Quantization" (ECCV2020)

dynamic-conditional-networks.pytorch

🔥🔥A pytorch implementation of Dynamic Convolutional Layer in Dynamic Conditional Convolutional Network for Few-Shot Learning🔥🔥

dynamic-neural-network-decoupling

Dynamic-Neural-Network-Decoupling

dynamic-reparameterization

dynamical-isometry-from-orthogonality-neural-nets

Mathematical consequences of orthogonal weights initialization and regularization in deep learning. Experiments with gain-adjusted orthogonal regularizer on RNNs with SeqMNIST dataset.

dynconv

Code for Dynamic Convolutions: Exploiting Spatial Sparsity for Faster Inference (CVPR2020)

e2cnn

E(2)-Equivariant CNNs Library for Pytorch

e2gan

[ECCV 2020]"Off-Policy Reinforcement Learning for Efficient and Effective GAN Architecture Search" By Yuan Tian, Qin Wang, Zhiwu Huang, Wen Li, Dengxin Dai, Minghao Yang, Jun Wang, Olga Fink

eagleeye

Code released for "EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning"

ean-efficient-attention-network

The implementation of paper ''Efficient Attention Network: Accelerate Attention by Searching Where to Plug''.

early-bird-tickets

[ICLR 2020] Drawing Early-Bird Tickets: Toward More Efficient Training of Deep Networks

easyquant

EasyQuant(EQ) is an efficient and simple post-training quantization method via effectively optimizing the scales of weights and activations.

ebm_code_release

Code for Implicit Generation and Generalization with Energy Based Models

ecanet

Code for ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks

edafa

Test Time Augmentation (TTA) wrapper for computer vision tasks: segmentation, classification, super-resolution, ... etc.

edgenets

This repository contains the source code of our work on designing efficient CNNs for computer vision

edmips

PyTorch implementation of EdMIPS: https://arxiv.org/pdf/2004.05795.pdf

ednas

Efficient Decoupled Neural Architecture Search by Structure and Operation Sampling (EDNAS)

edsr-pytorch

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

eena