KennyFu1997's Stars
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.
halfrost/LeetCode-Go
✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解
terryum/awesome-deep-learning-papers
The most cited deep learning papers
ChristosChristofidis/awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
dibingfa/flash-linux0.11-talk
你管这破玩意叫操作系统源码 — 像小说一样品读 Linux 0.11 核心代码
fengdu78/lihang-code
《统计学习方法》的代码实现
amusi/CVPR2024-Papers-with-Code
CVPR 2024 论文和开源项目合集
keon/awesome-nlp
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
aleju/imgaug
Image augmentation for machine learning experiments.
nerfstudio-project/nerfstudio
A collaboration friendly studio for NeRFs
changgyhub/leetcode_101
LeetCode 101:力扣刷题指南
colmap/colmap
COLMAP - Structure-from-Motion and Multi-View Stereo
gaoxiang12/slambook
bentrevett/pytorch-seq2seq
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
CSAILVision/semantic-segmentation-pytorch
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
cvg/Hierarchical-Localization
Visual localization made easy with hloc
HiLab-git/SSL4MIS
Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.
qubvel/efficientnet
Implementation of EfficientNet model. Keras and TensorFlow Keras.
bojone/vae
a simple vae and cvae from keras
taogen-docs/resources-of-learning
Documentations, books, courses, git repositories, and so on. Keep learning. To be a great developer.
lorenmt/mtan
The implementation of "End-to-End Multi-Task Learning with Attention" [CVPR 2019].
zhao62/Deep-Residual-Shrinkage-Networks
The deep residual shrinkage network is a variant of deep residual networks.
librauee/Statistical-Learning
✒统计学习方法第二版(李航) 学习笔记、代码实现、课后习题
saranshbht/msc-books
markovmodel/deeptime
Deep learning meets molecular dynamics.
seloufian/Deep-Learning-Computer-Vision
My assignment solutions for Stanford’s CS231n (CNNs for Visual Recognition) and Michigan’s EECS 498-007/598-005 (Deep Learning for Computer Vision), version 2020.
LuisM78/Appliances-energy-prediction-data
Data sets and scripts for the publication in Energy and Buildings Data driven prediction models of energy use of appliances in a low-energy house. Luis M. Candanedo, Véronique Feldheim, Dominique Deramaix. Energy and Buildings, Volume 140, 1 April 2017, Pages 81-97, ISSN 0378-7788,
woodliu/Operating.System.Concepts.10th.Edition
Operating.System.Concepts.10th.Edition中文翻译
alessandro-giusti/teaching-notebooks
Jupyter notebooks for teaching machine learning and robotics
StanwieCB/Render-Denoise-Paper
awesome render denoise paper