How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.
This repository contains the official implementation for the paper TS2Vec: Towards Universal Representation of Time Series (AAAI-22).
Lag-llama is a probabilistic machine learning foundation model designed for time series forecasting. It generates predictive distributions and uncertainty bounds for sequential data across arbitrary frequencies by leveraging pre-trained foundational weights. The system supports zero-shot transfer inference, allowing it to predict future values on entirely new and unseen datasets without requiring prior retraining. It achieves this by combining generalized representations from foundational training with adjustable context lengths, where historical context lengths and lagged feature values feed
Chronos-forecasting is a zero-shot time series forecasting framework based on a pretrained large language model. It enables the prediction of future values across diverse datasets without requiring task-specific training or optimization. The system functions as a probabilistic forecasting tool, producing multiple future trajectories and quantile forecasts to quantify uncertainty and potential prediction errors. It incorporates exogenous covariate integration to merge external variables and historical context into the input stream for increased precision. The project includes utilities for sy
Voice2Series: Reprogramming / Prompting Acoustic Models for Time Series Classification
The main features of huckiyang/voice2series-reprogramming are: Representation Learning, Time Series Foundation Models.
Open-source alternatives to huckiyang/voice2series-reprogramming include: yuezhihan/ts2vec — This repository contains the official implementation for the paper TS2Vec: Towards Universal Representation of Time… time-series-foundation-models/lag-llama — Lag-llama is a probabilistic machine learning foundation model designed for time series forecasting. It generates… amazon-science/chronos-forecasting — Chronos-forecasting is a zero-shot time series forecasting framework based on a pretrained large language model. It… anhduy0911/coinception — The requirements.txt file are attached for list of packages required. Python 3.9.16 torch==2.0.0 scikitlearn==0.24.2… beckschen/transmix — This repository includes the official project for the paper: TransMix: Attend to Mix for Vision Transformers, CVPR 2022. angus924/minirocket — ROCKET · MINIROCKET · HYDRA.
