Min's Projects
100-Days-Of-ML-Code中文版
3FabRec: Fast Few-shot Face alignment by Reconstruction - PyTorch implementation
ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks
Project ACRN hypervisor
Data release for Activity Inequality paper
Resource-adaptive cluster scheduler for deep learning training.
Creating and defending against adversarial examples
A pytorch implementations of Adversarial attacks and utils
Code used for the work "Exploring Adversarial Robustness of Deep Metric Learning"
TensorFlow implementation of Adversarial Reprogramming of Neural Networks https://arxiv.org/abs/1806.11146
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 of Neural Networks
Code for my blog post on Adversarial Reprogramming
A Toolbox for Adversarial Robustness Research
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 中文解读
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: Easily clean the LaTeX code of your paper to submit to arXiv
Automated deep learning algorithms implemented in PyTorch.
autodp: A flexible and easy-to-use package for differential privacy
code release for USENIX'22 paper `On the Security Risks of AutoML`
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. :)
A curated list of automated deep learning (including neural architecture search and hyper-parameter optimization) resources.
A curated list of community detection research papers with implementations.
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.
A curated list of resources dedicated to federated learning.
Awesome GAN for Medical Imaging
A collection of important graph embedding, classification and representation learning papers with implementations.
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。