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assl

[NeurIPS'21 Spotlight] Aligned Structured Sparsity Learning for Efficient Image Super-Resolution (PyTorch)

deeplearning.ai-natural-language-processing-specialization

This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai

eagleeye

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

esl-cn

The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。

euclidesprobationem.github.io

Machine Proof Group Website

fast-vqa-and-fastervqa

Official Code for [ECCV2022 Paper] FAST-VQA: Efficient End-to-End Video Quality Assessment with Fragment Sampling, and its extended version FasterVQA.

maniqa

[CVPRW 2022] MANIQA: Multi-dimension Attention Network for No-Reference Image Quality Assessment

parc-net

[ECCV 2022] Source code of "EdgeFormer: Improving Light-weight ConvNets by Learning from Vision Transformers"

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

rmnet

Implementation of "Efficient Regional Memory Network for Video Object Segmentation". (Xie et al., CVPR 2021)

rmnet-1

RM Operation can equivalently convert ResNet to VGG, which is better for pruning; and can help RepVGG perform better when the depth is large.

simpleir

A Simple framework for image restoration, it includes ECBSR, ELAN and other SOTAs.

tiny-super-resolution

tinysr