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adversarial-robustness-toolbox

Python library for adversarial machine learning, attacks and defences for neural networks, logistic regression, decision trees, SVM, gradient boosted trees, Gaussian processes and more with multiple framework support

aix360

Interpretability and explainability of data and machine learning models

analytics-zoo

Distributed Tensorflow, Keras and BigDL on Apache Spark

autograd

Efficiently computes derivatives of numpy code.

ax

Adaptive Experimentation Platform

azuredatastudio

Azure Data Studio is a data management tool that enables working with SQL Server, Azure SQL DB and SQL DW from Windows, macOS and Linux.

baal

Using approximate bayesian posteriors in deep nets for active learning

bayesian-stats-modelling-tutorial

How to do Bayesian statistical modelling using numpy and PyMC3

constraintbouuvhulldesign

A ready to use software pipe line for Constraint Bayesian Optimization for UUV hull design

cyclegan

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

dask-tutorial

Dask tutorial

deep-fluids

Deep Fluids: A Generative Network for Parameterized Fluid Simulations

deep-learning-from-scratch-pytorch

Deep Learning from Scratch with PyTorch

deepqmc

Deep learning quantum Monte Carlo for electrons in real space

dirichletcal.github.io

Dirichlet calibration website

dl-blog

Public repo for HF blog posts

foolbox

A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX

fourier_neural_operator

gpytorch

A highly efficient and modular implementation of Gaussian Processes in PyTorch

interval-bound-propagation

This repository contains a simple implementation of Interval Bound Propagation (IBP) using TensorFlow: https://arxiv.org/abs/1810.12715

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

jupyter-edu-book

Teaching and Learning with Jupyter

kalman-filter

Kalman Filter implementation in Python using Numpy only in 30 lines.

latentspacephysics

Towards Learning the Temporal Evolution of Fluid Flow

lucid

A collection of infrastructure and tools for research in neural network interpretability.

maven

Submission for MAVEN: Multi-Agent Variational Exploration

numpy-tutorial-scipyconf-2020

Numpy-Tutorial-SciPyConf-2020

ofblend

This is the source code for the 2017 ToG paper "Interpolations of Smoke and Liquid Simulations"

orbit

A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.

pbdl-book

Welcome to the Physics-based Deep Learning Book (v0.1)