Stars
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Repository for training and deploying Generative AI models, including text-text, text-to-image generation and prompt engineering playground using SageMaker Studio.
An Empirical Evaluation of Foundation Models for Multivariate Time Series Classification
A SHAP-based attribution method for time series.
A list of (post-hoc) XAI for time series
This repository contains the source code for time series regression.
Monash Scalable Time Series Evaluation Repository
Shapley Interactions and Shapley Values for Machine Learning
[ICDE 2024] Python and Streamlit implementation of "d_{symb} playground: an interactive tool to explore large multivariate time series datasets"
Fork from repo of Ashish for preparing the Shimmer data
A Fair and Scalable Time Series Forecasting Benchmark and Toolkit.
Adapted from: This Jupyter Notebook has been developed based on "A Beginner's Python Tutorial" by Steven Thurlow. The original material has been ported to Python 3.
[NeurIPS 2023] MotionGPT: Human Motion as a Foreign Language, a unified motion-language generation model using LLMs
Foundation Models for Time Series
Chronos: Pretrained Models for Probabilistic Time Series Forecasting
A model-agnostic framework for explaining time-series classifiers using Shapley values
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's …
Tutorials and related talks given by the aeon community
Fall Detection Using SOTA Time Series Techniques