pinyuchen's Stars
d2l-ai/d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Trusted-AI/adversarial-robustness-toolbox
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
facebookresearch/nevergrad
A Python toolbox for performing gradient-free optimization
jbhuang0604/awesome-tips
zackchase/mxnet-the-straight-dope
An interactive book on deep learning. Much easy, so MXNet. Wow. [Straight Dope is growing up] ---> Much of this content has been incorporated into the new Dive into Deep Learning Book available at https://d2l.ai/.
Trusted-AI/AIX360
Interpretability and explainability of data and machine learning models
aqlaboratory/proteinnet
Standardized data set for machine learning of protein structure
MarcusOlivecrona/REINVENT
Molecular De Novo design using Recurrent Neural Networks and Reinforcement Learning
IBM/UQ360
Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty in machine learning model predictions.
gongzhitaao/tensorflow-adversarial
Crafting adversarial images
thong3le/blackbox-attack
Blackbox attacks for deep neural network models
davidstutz/pytorch-adversarial-examples-training-articles
PyTorch code corresponding to my blog series on adversarial examples and (confidence-calibrated) adversarial training.
jqi41/Pretrained-TTN-VQC
An implementation of pretrained TTN-VQC
ramyanaga/BlackBoxSolver