lbzhang's Stars
subeeshvasu/Awesome-Learning-with-Label-Noise
A curated list of resources for Learning with Noisy Labels
IgorSusmelj/pytorch-styleguide
An unofficial styleguide and best practices summary for PyTorch
bighuang624/AI-research-tools
:hammer:AI 方向好用的科研工具
CPR-RSS/CPR-RSS.github.io
reading conference paper using rss
Chenxingyu1990/A-Boundary-Based-Out-of-Distribution-Classifier-for-Generalized-Zero-Shot-Learning
mboboGO/DVBE
raywzy/VSC
Transductive Zero-Shot Learning with Visual Structure Constraint, in NeurIPS 2019
hehonghui/the-economist-ebooks
经济学人(含音频)、纽约客、自然、新科学人、卫报、科学美国人、连线、大西洋月刊、国家地理等英语杂志免费下载,支持epub、mobi、pdf格式, 每周更新.
joe1206/The-Economist
The_Economist经济学人
LiJunnan1992/DivideMix
Code for paper: DivideMix: Learning with Noisy Labels as Semi-supervised Learning
cleanlab/cleanlab
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
KevinMusgrave/pytorch-metric-learning
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
google-research/google-research
Google Research
spring-epfl/mia
A library for running membership inference attacks against ML models
stratosphereips/awesome-ml-privacy-attacks
An awesome list of papers on privacy attacks against machine learning
Schlumberger/joint-vae
Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation :star2:
HobbitLong/PyContrast
PyTorch implementation of Contrastive Learning methods
aisk/.vim
marboo/orgmode-cn
orgmode中文主页(非官方)
d12frosted/homebrew-emacs-plus
Emacs Plus formulae for the Homebrew package manager
sbharadwajj/awesome-zero-shot-learning
A curated list of papers, code and resources pertaining to zero shot learning
justjavac/free-programming-books-zh_CN
:books: 免费的计算机编程类中文书籍,欢迎投稿
apache/mxnet
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
josephmisiti/awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
tiimgreen/github-cheat-sheet
A list of cool features of Git and GitHub.
gpakosz/.tmux
🇫🇷 Oh my tmux! My self-contained, pretty & versatile tmux configuration made with ❤️
spragunr/deep_q_rl
Theano-based implementation of Deep Q-learning
Pseudomanifold/latex-mimosis
A minimal & modern LaTeX template for your (bachelor's | master's | doctoral) thesis
algorithm-visualizer/algorithm-visualizer
:fireworks:Interactive Online Platform that Visualizes Algorithms from Code
torchgan/torchgan
Research Framework for easy and efficient training of GANs based on Pytorch