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Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Advers…
Code for fast dpsgd implementations in JAX/TF
BeamerPoster Template using UW colors and logo
Diffprivlib: The IBM Differential Privacy Library
DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow, and DRQN
FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai
SOON TO BE DEPRECATED - Private machine learning progress
Validation assets for core OpenMined libraries
Code for "Turbo Autoencoder: Deep learning based channel code for point-to-point communication channels" NeurIPS 2019
Graphics. High-resolution Deep Convolutional Generative Adversarial Networks.
Training PyTorch models with differential privacy
Differentially Private Optimization for PyTorch 👁🙅♀️
pytorch structural similarity (SSIM) loss
Pytorch implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Generative Adversarial Networks (cDCGAN) for MNIST dataset
Playing with MNIST. Machine Learning. Generative Models.
Minimax Optimal Estimation of Approximate Differential Privacy on Neighboring Databases
Python script to download all Springer books released for free during the 2020 COVID-19 quarantine
A Python package to assess and improve fairness of machine learning models.
A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.
Benchmark for LP-relaxed robustness verification of ReLU-networks
Comprehensive Open Source Library for Secure Multiparty Computation