About A collection of AWESOME things about information geometry Topics

LLM101n: Let's build a Storyteller

"GNNs in Network Neuroscience" MICCAI 2024 Tutorial; October 10, 2024 — Marrakesh

[CVPR 2022] Learning Graph Regularisation for Guided Super-Resolution

code for deep learning courses

List of papers, code and experiments using deep learning for time series forecasting

list of papers, code, and other resources

An index of algorithms for learning causality with data

recommenderlab - Lab for Developing and Testing Recommender Algorithms - R package

Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

Article by Dokumentov & Hyndman on Seasonal Trend decomposition using Regression

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

Graph SuperResolution Network using geometric deep learning.

Brain graph super-resolution using graph neural networks.

A collection of learning resources for curious software engineers

Curated list of awesome GAN applications and demo

Graph Neural Network Library for PyTorch

Anomaly detection related books, papers, videos, and toolboxes

A Python package for causal inference in quasi-experimental settings

A review of papers proposing novel GNN methods with application to brain connectivity published in 2017-2020.

"Deep Generative Modeling": Introductory Examples

Understanding Deep Learning - Simon J.D. Prince

The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML

Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…

A collection of reference Jupyter notebooks and demo AI/ML applications for enterprise use cases: marketing, pricing, supply chain, smart manufacturing, and more.