A list of all public EEG-datasets

All Algorithms implemented in Python

Parallel Construction of Module Networks

Notes and assignment solution to http://cs231n.stanford.edu

Some worked exercises from Larry Wasserman's "All of Statistics"

A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"

Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

A Parallel Framework for Bayesian Learning

An Infinitely Large Napkin

Implementation of Bootstrap DQN and Randomized Prior Functions on ALE

Resources I used for ML Engineer, Applied Scientist and Quant Researcher interviews.

The mediocre solutions to leetcode problems using Python

Implementation of Graph Convolutional Networks in TensorFlow

Everything you need to know to get the job.

The original code from the DeepMind article + my tweaks

Mindid: Person identification from brain waves through attention-based recurrent neural network

A Collection Python EEG (+ ECG) Analysis Utilities for OpenBCI and Muse

Classification and Segmentation of melanoma images using Deep Learning

Code and documentation for the winning solution to the BCI Challenge @ NER 2015 : https://www.kaggle.com/c/inria-bci-challenge

Machine learning for multivariate data through the Riemannian geometry of positive definite matrices in Python

Seizure prediction from EEG data using machine learning. 3rd place solution for Kaggle/Uni Melbourne seizure prediction competition.

Curated Collection of BCI resources

Supplementary material for systematic literature review on deep learning and EEG.

This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow

Mother of All BCI Benchmarks

Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.

A list of microgrant programs for your good ideas