qtjiebin Goto Github PK

followers: 30.0 following: 46.0 repos: 115.0 gists: 0.0

Name: Jiebin Yan

Type: User

Company: Jiangxi University of Finance and Economics

Bio: Best-loved: 滚滚长江东逝水，浪花淘尽英雄。是非成败转头空。青山依旧在，几度夕阳红。白发渔樵江渚上，惯看秋月春风。一壶浊酒喜相逢。古今多少事，都付笑谈中。

Location: Jiangxi, Nanchang

Blog: https://github.com/QTJiebin

Jiebin Yan's Projects

3d-resnets-pytorch

3D ResNets for Action Recognition (CVPR 2018)

accelerate

🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision

ahiq

[CVPRW 2022] Attentions Help CNNs See Better: Attention-based Hybrid Image Quality Assessment Network

ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

algorithmpratice

算法导论代码合集

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

awesome-360-processing

Awesome works and resources are relevant to 360 processing.

awesome-machine-learning-1

Learning Resources And Links Of Machine Learning（updating）

awesome-multi-task-learning

A list of multi-task learning papers and projects.

awesome-segment-anything

This repository is for the first comprehensive survey on Meta AI's Segment Anything Model (SAM).

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

awesome-vision-attentions

Summary of related papers on visual attention. Related code will be released based on Jittor gradually.

awesome-visual-transformer

Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)

bilinear-cnn

PyTorch implementation of bilinear CNN for fine-grained image recognition

bisenet

BiSeNet based on pytorch

bvqa_benchmark

A resource list and performance benchmark for blind video quality assessment (BVQA) models on user-generated content (UGC) datasets.

c-plus-plus

Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

ckdn

[ICCV'21] Learning Conditional Knowledge Distillation for Degraded-Reference Image Quality Assessment

code-of-learn-deep-learning-with-pytorch

This is code of book "Learn Deep Learning with PyTorch"

contrique

Official implementation for "Image Quality Assessment using Contrastive Learning"

conviqt

Official implementation for "CONVIQT: Contrastive Video Quality Estimator"

cs231n.github.io

Public facing notes page

cvrkd-iqa

AAAI2022 Oral "Content-Variant Reference Image Quality Assessment via Knowledge Distillation"

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被全球175所大学采用教学。

dbcnn-pytorch

An experimental Pytorch implementation of Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network

deep-learning-with-tensorflow-book

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

deepvqa_release

Deep Video Quality Assessor (DeepVQA)

dists

IQA: Deep Image Structure and Texture Similarity Metric

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。

espnetv2

A light-weight, power efficient, and general purpose convolutional neural network

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