this repository accompanies the book "Grokking Deep Learning"

Code for the paper "Quantifying Transfer in Reinforcement Learning"

All Algorithms implemented in C++

Create delightful python projects using Jupyter Notebooks

Training PyTorch models with differential privacy

Machine Learning Privacy Meter: A tool to quantify the privacy risks of machine learning models with respect to inference attacks, notably membership inference attacks

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

Code execution runtime for the NIST De-ID2 competition

Find best-response to a fixed policy in multi-agent RL

Github pages backend for https://differentialprivacy.org

Library for training machine learning models with privacy for training data

Probabilistic reasoning and statistical analysis in TensorFlow

A library for encrypted, privacy preserving machine learning

Google's differential privacy library.

Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning / ICLR 2020

The 3rd edition of course.fast.ai

A privacy-preserving app for comparing last-known locations of coronavirus patients

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

A Modern, Clean, Jekyll Blog Layout based from codedrops

Source code of Neural Logic Reinforcement Learning (https://arxiv.org/abs/1904.10729)