Pinned Repositories
Awesome-FoodAI
AI Research Resources in Food Domain
competition-baseline
数据科学竞赛知识、代码、思路
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。
Fruit-Images-Dataset
Fruits-360: A dataset of images containing fruits and vegetables
IQA-PyTorch
PyTorch Toolbox for Image Quality Assessment, including LPIPS, FID, NIQE, NRQM(Ma), MUSIQ, NIMA, DBCNN, WaDIQaM, BRISQUE, PI and more...
LeetCode
:monkey:LeetCode、剑指Offer刷题笔记（C/C++、Python3实现）
MMAL-Net
This is a PyTorch implementation of the paper "Multi-branch and Multi-scale Attention Learning for Fine-Grained Visual Categorization (MMAL-Net)" (Fan Zhang, Meng Li, Guisheng Zhai, Yizhao Liu).
pic2kcal
Multi-Task Learning for Calorie Prediction on a Novel Large-Scale Recipe Dataset Enriched with Nutritional Information
rolling.github.io
team-learning-cv
主要存储Datawhale组队学习中“计算机视觉”方向的资料。
RollingWang's Repositories
RollingWang/Awesome-FoodAI
AI Research Resources in Food Domain
RollingWang/competition-baseline
数据科学竞赛知识、代码、思路
RollingWang/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。
RollingWang/Fruit-Images-Dataset
Fruits-360: A dataset of images containing fruits and vegetables
RollingWang/IQA-PyTorch
PyTorch Toolbox for Image Quality Assessment, including LPIPS, FID, NIQE, NRQM(Ma), MUSIQ, NIMA, DBCNN, WaDIQaM, BRISQUE, PI and more...
RollingWang/LeetCode
:monkey:LeetCode、剑指Offer刷题笔记（C/C++、Python3实现）
RollingWang/MMAL-Net
This is a PyTorch implementation of the paper "Multi-branch and Multi-scale Attention Learning for Fine-Grained Visual Categorization (MMAL-Net)" (Fan Zhang, Meng Li, Guisheng Zhai, Yizhao Liu).
RollingWang/pic2kcal
Multi-Task Learning for Calorie Prediction on a Novel Large-Scale Recipe Dataset Enriched with Nutritional Information
RollingWang/rolling.github.io
RollingWang/team-learning-cv
主要存储Datawhale组队学习中“计算机视觉”方向的资料。
RollingWang/team-learning-data-mining
主要存储Datawhale组队学习中“数据挖掘/机器学习”方向的资料。
RollingWang/team-learning-program
主要存储Datawhale组队学习中“编程、数据结构与算法”方向的资料。
RollingWang/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch