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100-days-of-ml-code

100-Days-Of-ML-Code中文版

3fabrec

3FabRec: Fast Few-shot Face alignment by Reconstruction - PyTorch implementation

acnet

ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks

acrn-hypervisor

Project ACRN hypervisor

activityinequality

Data release for Activity Inequality paper

adaptdl

Resource-adaptive cluster scheduler for deep learning training.

adversarial

Creating and defending against adversarial examples

adversarial-attacks-pytorch

A pytorch implementations of Adversarial attacks and utils

adversarial-deep-metric-learning

Code used for the work "Exploring Adversarial Robustness of Deep Metric Learning"

adversarial-reprogramming-tensorflow

TensorFlow implementation of Adversarial Reprogramming of Neural Networks https://arxiv.org/abs/1806.11146

adversarial-robustness-toolbox

Python library for adversarial machine learning (evasion, extraction, poisoning) with attacks and defences for neural networks, logistic regression, decision trees, SVM, gradient boosted trees, Gaussian processes and more with multiple framework support

adversarial_reprogramming

Adversarial Reprogramming of Neural Networks

adversarialreprogramming

Code for my blog post on Adversarial Reprogramming

advertorch

A Toolbox for Adversarial Robustness Research

aif360

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

arm-architecture-reference-manual-for-armv8-a

ARM Architecture Reference Manual for ARMv8-A 中文解读

article-resources

A repository for the source code, notebooks, data, files, and other assets used in the data science and machine learning articles on LearnDataSci

arxiv-latex-cleaner

arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv

autodl-projects

Automated deep learning algorithms implemented in PyTorch.

autodp

autodp: A flexible and easy-to-use package for differential privacy

autovul

code release for USENIX'22 paper `On the Security Risks of AutoML`

awesome-aml

Awesome list for adversarial machine learning (AML) papers. Since I used to work on privacy-preserving machine learning, I found AML quite interesting and promising as well. :)

awesome-autodl

A curated list of automated deep learning (including neural architecture search and hyper-parameter optimization) resources.

awesome-community-detection

A curated list of community detection research papers with implementations.

awesome-deep-learning-papers-for-search-recommendation-advertising

Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR prediction, CVR prediction), Post Ranking, Transfer, Reinforcement Learning, Self-supervised Learning and so on.

awesome-federated-learning

A curated list of resources dedicated to federated learning.

awesome-gan-for-medical-imaging

Awesome GAN for Medical Imaging

awesome-graph-classification

A collection of important graph embedding, classification and representation learning papers with implementations.

awesome-java-cn

Java资源大全中文版，包括开发库、开发工具、网站、博客、微信、微博等，由伯乐在线持续更新。