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A curated list of research papers related to learning disentangled representations
Implementation of 'DIVA: Domain Invariant Variational Autoencoders'
PyTorch implementation of BPDA+EOT attack to evaluate adversarial defense with an EBM
Course materials for "Experimentation and Causal Inference"
FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age
A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
starter from "How to Train a GAN?" at NIPS2016
Simple Tensorflow implementation of metrics for GAN evaluation (Inception score, Frechet-Inception distance, Kernel-Inception distance)
Code for paper "Which Training Methods for GANs do actually Converge? (ICML 2018)"
A highly efficient and modular implementation of Gaussian Processes in PyTorch
Causal Inference & Deep Learning, MIT IAP 2018
ImageNet dataset downloader. Creates a custom dataset by specifying the required number of classes and images in a class.
Sandbox for training deep learning networks
Inception Score for GANs in Pytorch
Assessing Disparate Impacts of Personalized Interventions: Identifiability and Bounds
SVM,Machine Learning, Adversarial Attack
Resources to learn more about Machine Learning and Artificial Intelligence
IS, FID score Pytorch and TF implementation, TF implementation is a wrapper of the official ones.
Pytorch Adversarial Attack Framework
A challenge to explore adversarial robustness of neural networks on MNIST.
Damage Identification in Social Media Posts using Multimodal Deep Learning: code and dataset
Principled Detection of Out-of-Distribution Examples in Neural Networks
[NeurIPS 2020] "Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free" by Haotao Wang*, Tianlong Chen*, Shupeng Gui, Ting-Kuei Hu, Ji Liu, and Zhangyang Wang
Related papers for robust machine learning
Course Website for Causal Inference at UCSD
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
This repo keeps track of popular provable training and verification approaches towards robust neural networks, including leaderboards on popular datasets and paper categorization.
PyTorch 101 series covering everything from the basic building blocks all the way to building custom architectures.
PyTorch-1.0 implementation for the adversarial training on MNIST/CIFAR-10 and visualization on robustness classifier.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.