Foundation Models for Time Series

This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the …

A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.

Multivariate Time Series Forecasting with efficient Transformers. Code for the paper "Long-Range Transformers for Dynamic Spatiotemporal Forecasting."

Multivariate Time Series Transformer, public version

📝 Easily create a beautiful website using Academic, Hugo, and Netlify

TorchGeo: datasets, transforms, and models for geospatial data

A beautiful, simple, clean, and responsive Jekyll theme for academics

Graph Machine Learning, published by Packt

GNN-RL Compression: Topology-Aware Network Pruning using Multi-stage Graph Embedding and Reinforcement Learning

Google's Operations Research tools:

A complete computer science study plan to become a software engineer.

NumPy & SciPy for GPU

Materials for UCL Artificial Intelligence Society Machine Learning Tutorials Season 2 (2021/2022)

Python programs, usually short, of considerable difficulty, to perfect particular skills.

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

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research top…

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

This repository contains implementations and illustrative code to accompany DeepMind publications

PyTorch implementations of deep reinforcement learning algorithms and environments

TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.

PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.