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ac-gan

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

adagram.jl

Adaptive Skip-gram implementation in Julia

auxiliary-deep-generative-models

Deep generative models for semi-supervised learning.

blackjax

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

conference_pairings

Code used to implement the matchmaking procedure described in Vaggi et al, 2014.

copt

A Python library for mathematical optimization

dcgan-completion.tensorflow

Image Completion with Deep Learning in TensorFlow

dcgan-tensorflow

A tensorflow implementation of Deep Convolutional Generative Adversarial Networks

diffrax

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

ensemble-pytorch

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

euroscipy2014_highperformancepython

feature-grouping-regularizer

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

federicov.github.io

My Blog

improved-gan

code for the paper "Improved Techniques for Training GANs"

jax

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

journal_club_adaboost

Journal Club on AdaBoost Paper July 13, 2017

juliaadventofcode2020

Learning Julia with Advent of Code

lightning

Large-scale linear classification, regression and ranking in Python

models

Models built with TensorFlow

networkx

Official NetworkX source code repository.

numericalunits

numericalunits python package

pm-prophet

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

proxmap-mm

Automatically exported from code.google.com/p/proxmap-mm

pyampgo

Github copy of Andrea Gavana's implementation of AmpGO

pydstool

PyDSTool main development repo

python-lru-cache

An in-memory LRU cache for python

relativisticgan

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

scikit-learn

scikit-learn: machine learning in Python

sensitivity_equations_julia

Some attempts at using meta-programming and Julia for automatic derivation of sensitivity equations.

seqgan

Implementation of Sequence Generative Adversarial Nets with Policy Gradient