RaccoonDML
My name is Mingliang Dai and I am currently studying computer science at Fudan University in Shanghai. Prior to that, I received my bachelar degree in XMU.
Shanghai
RaccoonDML's Stars
facebookresearch/synsin
View synthesis for the public.
4uiiurz1/pytorch-nested-unet
PyTorch implementation of UNet++ (Nested U-Net).
scutan90/DeepLearning-500-questions
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06
labuladong/fucking-algorithm
刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but also why.
nuno-faria/tiler
👷 Build images with images
ZhihengCV/Bayesian-Crowd-Counting
Official Implement of ICCV 2019 oral paper Bayesian Loss for Crowd Count Estimation with Point Supervision
LoraLinH/Boosting-Crowd-Counting-via-Multifaceted-Attention
Official Implement of CVPR 2022 paper 'Boosting Crowd Counting via Multifaceted Attention'
sindresorhus/awesome
😎 Awesome lists about all kinds of interesting topics
singularity-s0/fudan_sports_autoreserve
复旦大学体育场馆自动预约 FDU Sports Auto Reserve
xhp-hust-2018-2011/S-DCNet
Implementaion of S-DCNet (ICCV 2019)
thunlp/PromptPapers
Must-read papers on prompt-based tuning for pre-trained language models.
lucidrains/byol-pytorch
Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch
google-deepmind/deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
lllhhh/BooksKeeper
对各类图书资源的收集。大量计算机、AI方面书籍。
zslucky/awesome-AI-books
Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning
imarvinle/awesome-cs-books
🔥 经典编程书籍大全,涵盖:计算机系统与网络、系统架构、算法与数据结构、前端开发、后端开发、移动开发、数据库、测试、项目与团队、程序员职业修炼、求职面试等
wzmsltw/PaintTransformer
Official PaddlePaddle implementation of Paint Transformer
gjy3035/Awesome-Crowd-Counting
Awesome Crowd Counting
nndl/exercise
exercise for nndl
jacobgil/pytorch-zssr
PyTorch implementation of 1712.06087 "Zero-Shot" Super-Resolution using Deep Internal Learning
assafshocher/ZSSR
"Zero-Shot" Super-Resolution using Deep Internal Learning
ZhendongWang6/Uformer
[CVPR 2022] Official implementation of the paper "Uformer: A General U-Shaped Transformer for Image Restoration".
VITA-Group/TransGAN
[NeurIPS‘2021] "TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up", Yifan Jiang, Shiyu Chang, Zhangyang Wang
researchmm/TTSR
[CVPR'20] TTSR: Learning Texture Transformer Network for Image Super-Resolution
The-Learning-And-Vision-Atelier-LAVA/DASR
[CVPR 2021] Unsupervised Degradation Representation Learning for Blind Super-Resolution
lucidrains/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
darknessest/XMU-Daily-Health-Report
Small script for automated health reporting
utkuozbulak/pytorch-cnn-visualizations
Pytorch implementation of convolutional neural network visualization techniques
IFeelBloated/Vine
yulunzhang/RDN
Torch code for our CVPR 2018 paper "Residual Dense Network for Image Super-Resolution" (Spotlight)