Deep generative models for semi-supervised learning.

A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.

BlackJAX is a sampling library designed for ease of use, speed and modularity.

Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable.

A Python library for mathematical optimization

Group elastic net implementation in PyTorch

A Tensorflow 2.0 implementation of TabNet.

Code for replication of the paper "The relativistic discriminator: a key element missing from standard GAN"

Code for the paper "Feature Grouping as a Stochastic Regularizer for High-Dimensional Structured Data" at ICML 2019.

scikit-learn: machine learning in Python

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

Simplified version of the Facebook Prophet model re-implemented in PyMC3

A tensorflow implementation of google's AC-GAN ( Auxiliary Classifier GAN ).

An in-memory LRU cache for python

Implementation of Sequence Generative Adversarial Nets with Policy Gradient

Image Completion with Deep Learning in TensorFlow

A tensorflow implementation of Deep Convolutional Generative Adversarial Networks

code for the paper "Improved Techniques for Training GANs"

Models built with TensorFlow

Large-scale linear classification, regression and ranking in Python

Adaptive Skip-gram implementation in Julia

Material for the statistics in Python tutorial

PyDSTool main development repo

EuroScipy 2014 tutorial: Introduction to predictive analytics with pandas and scikit-learn