changchunli Goto Github PK

adni_visualize

Self-supervised learning for understanding of morphological features in classification of fMRI images from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database

ai-paper-collector

MLNLP社区用来更好进行论文搜索的工具。Fully-automated scripts for collecting AI-related papers

aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

albert

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

alfred-workflows

:metal: A collection of Alfred 3 workflows that will rock your world

algorithm

Some classical algorithms

atom

:atom: The hackable text editor

augmax

[NeurIPS'21] "AugMax: Adversarial Composition of Random Augmentations for Robust Training" by Haotao Wang, Chaowei Xiao, Jean Kossaifi, Zhiding Yu, Animashree Anandkumar, and Zhangyang Wang.

autoalbument

AutoML for image augmentation. AutoAlbument uses the Faster AutoAugment algorithm to find optimal augmentation policies. Documentation - https://albumentations.ai/docs/autoalbument/

awesome-c-cn

C 资源大全中文版，包括了：构建系统、编译器、数据库、加密、初中高的教程/指南、书籍、库等。

awesome-deep-vision-web-demo

A curated list of awesome deep vision web demo

awesome-emacs

A community driven list of useful Emacs packages, libraries and others.

awesome-learning-with-label-noise

A curated list of resources for Learning with Noisy Labels

awesome-network-embedding

A curated list of network embedding techniques.

awesome-of-long-tailed-recognition

A curated list of long-tailed recognition resources.

awesome-optimal-transport

A list of awesome papers and cool resources on optimal transport and its applications in general! As you will notice, this list is currently mostly focused on optimal transport for machine learning topics.

awesome-pretrained-chinese-nlp-models

Awesome Pretrained Chinese NLP Models，高质量中文预训练模型集合

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

awesome-semi-supervised-learning

:scroll: An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.

b-dotfiles

My dotFiles

b-vim

blockchain-tutorial

:ear_of_rice: A step-by-step blockchain tutorial in simplified Chinese

bmf_priors

Python code for "Prior and Likelihood Choices for Bayesian Matrix Factorisation on Small Datasets".

book

book

caffe

Caffe: a fast open framework for deep learning.

caffe2

Caffe2 is a lightweight, modular, and scalable deep learning framework.

cenalulu.github.io

This is the repository for my personal technical blog.

changchunli.github.io

co-teaching

NeurIPS'18: Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels

compare_gan