Awesome free machine learning and AI courses with video lectures.

Code for paper: "Support Vector Machines, Wasserstein's distance and gradient-penalty GANs maximize a margin"

What the f*ck Python? 😱

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

List of relevant resources for machine learning from explanatory supervision

PyTorch deep learning projects made easy.

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

Open source platform for the machine learning lifecycle

GStreamer source element for AirPlay video streams

Personal and biased selection of ML resources

All Algorithms implemented in Python

Implementation of Bottleneck Transformer in Pytorch

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

Graduate School LaTeX templates for Lab rotation proposal + report, OIST beamer and Thesis + thesis proposal

AirPlay Unix mirroring server

⏰ AI conference deadline countdowns

Complete solutions for exercises and MATLAB example codes for "Machine Learning: A Probabilistic Perspective" 1/e by K. Murphy

Network Analysis in Python

Automatically exported from code.google.com/p/python-graph

Bayesian Learning course at Stockholm University

Classical equations and diagrams in machine learning

I decide to sync up this repo and self-critical.pytorch. (The old master is in old master branch for archive)

NYU Deep Learning Spring 2020

Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison

A every-so-often-updated collection of every causality + machine learning paper submitted to arXiv in the recent past.

R code for Manifold Regularized Causal Learning (MRCL) and scripts to run the analysis presented in Hill*, Oates*, Blythe & Mukherjee (2019).

A method which takes advantage of causal features for classification