bguedj

brew

🍺 The missing package manager for macOS (or Linux)

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

hugo-blox-builder

🚨 GROW YOUR AUDIENCE WITH HUGOBLOX! 🚀 HugoBlox is an easy, fast no-code website builder for researchers, entrepreneurs, data scientists, and developers. Build stunning sites in minutes. 适合研究人员、企业家、数据科学家和开发者的简单快速无代码网站构建器。用拖放功能、可定制模板和内置SEO工具快速创建精美网站！

shogun

Shōgun

pgmpy

Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.

CSrankings

A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.

GPy

Gaussian processes framework in python

jekyll-scholar

jekyll extensions for the blogging scholar

blitz-bayesian-deep-learning

A simple and extensible library to create Bayesian Neural Network layers on PyTorch.

poutyne

A simplified framework and utilities for PyTorch

curl

CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning

Mini-Conf

Run a conference from your backyard.

examples

Example code and applications for machine learning on Graphcore IPUs

phd-thesis

I am in [research] stepped in so far that, should I wade no more, Returning were as tedious as go o'er. -MacBeth

iclr.github.io

bml-course

Public repo for course material on Bayesian machine learning at ENS Paris-Saclay and Univ Lille

old_talks

Talks from Neil Lawrence

meta-learning-adjusting-priors

Implementation of the paper "Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory", Ron Amit and Ron Meir, ICML 2018

meta-learning-adjusting-priors2

Implementation of the paper "Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory", Ron Amit and Ron Meir, ICML 2018

PAC-Bayesian-Theory-Meets-Bayesian-Inference

Code to related to my NIPS 2016 paper

PAC-Bayes_sample_compress_for_kernel_methods

Learning algorithms introduced in "A PAC-Bayes Sample Compression Approach to Kernel Methods" (ICML 2011)

pbrff

Pseudo-Bayesian Learning with Kernel Fourier Transform as Prior

santepubliquefrance

représentation des données covid-19 france

marginalia

Simple LaTeX package for margin notes.

graal-website

PAC_Bayes_Invariance

Code from the paper "PAC-Bayesian Margin Bounds for convolutional neural networks". https://arxiv.org/pdf/1905.09677.pdf

make-lstm-great-again

Donald Trump's tweets generator

mml-book.github.io

Companion webpage to the book "Mathematics For Machine Learning"

rlss-2019

[RLSS 2019] Bandits, RL & Deep RL: Practical Sessions.

twitter-graph

Fetch and visualize the graph of your Twitter friends and followers.