Summaries and notes on Deep Learning research papers

RePaint: Inpainting using Denoising Diffusion Probabilistic Models

Leaderboards for few-shot image classification on miniImageNet, tieredImageNet, FC100, and CIFAR-FS.

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

TensorFlow Tutorials with YouTube Videos

Code repository for Think Bayes.

TensorFlow - A curated list of dedicated resources http://tensorflow.org

A curated list of deep learning resources for computer vision

TensorFlow Tutorial and Examples for beginners

mlpack: a scalable C++ machine learning library --

source code repo for Armadillo C++ linear algebra (matrix) library - http://arma.sourceforge.net

A curated list of awesome Deep Learning tutorials, projects and communities.

The Shogun Machine Learning Toolbox (Source Code)

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

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

Python code for Reinforcement Learning: An Introduction

Connecting Torch to StarCraft

A curated list of awesome Machine Learning frameworks, libraries and software.

This repo is for demonstration purposes only.

A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers

Bare bones introduction to machine learning from linear regression to convolutional neural networks using Theano.

Empirical tests of various bandit algorithms.