patricieni

RBM-Tensorflow

Tensorflow Implementation of RBM

RBM-Matlab

Matlab implementation of Restricted Boltzmann Machines and CD-1

ODSCLondon2018_MissingData

Missing Data Workshop ODSC London

Restricted-Boltzmann-Machines

Train an RBM to infer Bars-As-Stripes patterns and other dummy examples

pyprobml

Python code for "Machine learning: a probabilistic perspective"

pytorch-MNIST-CelebA-GAN-DCGAN

Pytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST and CelebA datasets

awesome-deep-learning-papers

The most cited deep learning papers

Coursera_ML

Andrew NG's famous course on Machine Learning

detectron2

Detectron2 is FAIR's next-generation platform for object detection and segmentation.

edward

A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.

Gapminder-scotland

A Gapminder like visualization with Holoviews on top of Scottish health data

ICM

ICM Collaboration

IsingModel

Visualization of a 2-D spin configuration under Glauber/Kawasaki Dynamics and Boltzmann Distribution

Large_margin_nearest_neighbor

Matlab implementation of the large margin nearest neighbor algorithm

numerical-tours

Numerical Tours of Signal Processing

patricieni.github.io

POT

Python Optimal Transport toolbox

Probabilistic-Programming

Probabilistic Programming with Edward

pyDiffMap

Library for diffusion maps

rfs

Tensorflow-101

TensorFlow Tutorials

tensorfow-rbm

Tensorflow implementation of Restricted Boltzman Machine

tikz-bayesnet

TikZ library for drawing Bayesian networks, graphical models and (directed) factor graphs in LaTeX.

VAE-TensorFlow

Implementation of a Variational Auto-Encoder in TensorFlow