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aw_nas

aw_nas: A Modularized and Extensible NAS Framework

awesome-automl-and-lightweight-models

A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.

bsn-boundary-sensitive-network

Codes of our paper: "BSN: Boundary Sensitive Network for Temporal Action Proposal Generation"

camerasr

Camera Lens Super-Resolution in CVPR 2019

cifar10-distributed-training-baidunet9p

DAWN CIFAR10 distributed training results by BAIDU USA GAIT LEOPARD team

cifar10-inference-baidunet8

DAWN CIFAR10 inference contest

cifar10-training-baidunet9

codes for DAWN training using one v100 on Baidu Cloud

dawn-bench-entries

DAWNBench: An End-to-End Deep Learning Benchmark and Competition

dcscn-super-resolution

A tensorflow implementation of "Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network", a deep learning based Single-Image Super-Resolution (SISR) model.

dgam-weakly-supervised-action-localization

Code for our paper "Weakly-Supervised Action Localization by Generative Attention Modeling" (CVPR2020)

eagleeye

(ECCV'2020 Oral)EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning

edsr-tensorflow

Tensorflow implementation of Enhanced Deep Residual Networks for Single Image Super-Resolution

face-and-image-super-resolution

face-super-resolution

Face super resolution based on ESRGAN

gdas

PyTorch implementation of "Searching for A Robust Neural Architecture in Four GPU Hours", CVPR 2019

ginp

Gifts from Iterative Network Pruning

handheld-multi-frame-super-resolution

An implementation of the paper Handheld Multi-Frame Super-Resolution

handong1587.github.io

image-super-resolution

🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

loss-aware-binarization

Implementation of ICLR 2017 paper "Loss-aware Binarization of Deep Networks"

meal-v2

MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks

noise_flow

overhaul-distillation

Official PyTorch implementation of "A Comprehensive Overhaul of Feature Distillation" (ICCV 2019)

passrnet

Repository for "Learning Parallax Attention for Stereo Image Super-Resolution", CVPR 2019

pc-darts

Partial Channel Connections for Memory-Efficient Differentiable Architecture Search

progressive-face-super-resolution

Official Pytorch Implementation of Progressive Face Super-Resolution (BMVC 2019 Accepted)

proxylessnas

[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware

pytorch-self-distillation-final

rbpn-pytorch

The project is an official implement of our CVPR2019 paper "Recurrent Back-Projection Network for Video Super-Resolution"

rcan

PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"