This repository contains the code used to preprocess the EEG and fMRI data along with the stimulation protocols used to generate the Bimodal Inner Speech dataset.

Code for preprocessing data for the Naturalistic viewing EEG FMRI data release from NKI

NMA deep learning course

NMA Computational Neuroscience course

An index of algorithms for learning causality with data

Materials Collection for Causal Inference

Must-read papers and resources related to causal inference and machine (deep) learning

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.

Course Materials for Analytics in Stock Markets Zoomcamp

Free Data Engineering course!

Interactive Tools for Machine Learning, Deep Learning and Math

A resource for learning about Machine learning & Deep Learning

Deep Generative Models course, 2023

BMM

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

Structured state space sequence models

Deeplearning project at The Technological University of Denmark (DTU) about Neural ODEs for finding dynamics in ordinary differential equations and real world time series data

Python-centered read-along of Forecasting: Principles and Practice

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

A playbook for systematically maximizing the performance of deep learning models.

Семинары А.В. Грабового к лекционному курсу К.В. Воронцова.

Курс по прикладному статистическому анализу данных

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.