A computer algebra system written in pure Python

This repository contains implementations and illustrative code to accompany DeepMind publications

Kuan-Chieh Wang, Paul Vicol, Eleni Triantafillou, Richard Zemel. (2020). “Few-shot Out-of-Distribution Detection.” (ICML) Workshop on Uncertainty and Robustness in Deep Learning

Code for Understanding and Mitigating Exploding Inverses in Invertible Neural Networks (AISTATS 2021) http:https://arxiv.org/abs/2006.09347

Statistical adaptive stochastic optimization methods

PRML algorithms implemented in Python

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

Code for "Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models", AAAI 2018.

Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows

Code for "Adversarial Distillation of Bayesian Neural Network Posteriors" https://arxiv.org/abs/1806.10317

Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.…

An Open Source Machine Learning Framework for Everyone

A responsive theme for GitHub Pages

Deep Learning for humans

Caffe: a fast open framework for deep learning.

Deep Learning GPU Training System

Image processing in Python

scikit-learn: machine learning in Python

Universal markup converter

The Python micro framework for building web applications.