Transfer 🤗 Learning for Time Series Forecasting
☆257Dec 5, 2024Updated last year
Alternatives and similar repositories for transfer-learning-time-series
Users that are interested in transfer-learning-time-series are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.☆737Updated this week
- Datasets for time series forecasting☆121Mar 9, 2026Updated 2 weeks ago
- Scalable and user friendly neural forecasting algorithms.☆4,010Updated this week
- Scalable machine 🤖 learning for time series forecasting.☆1,194Updated this week
- Fast implementations of common forecasting routines☆43Mar 9, 2026Updated 2 weeks ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transf…☆3,804Updated this week
- Calculates various features from time series data. Python implementation of the R package tsfeatures.☆440Apr 23, 2024Updated last year
- Lightning ⚡️ fast forecasting with statistical and econometric models.☆4,727Updated this week
- This repository contains a list of papers on spatio-temporal graph, especially about GNNs on S-T graph.☆18Sep 8, 2023Updated 2 years ago
- ☆37Mar 10, 2022Updated 4 years ago
- Repository of Transformer based PyTorch Time Series Models☆319Nov 8, 2024Updated last year
- ☆192Mar 22, 2023Updated 3 years ago
- KDD'22 Tutorial: Robust Time Series Analysis and Applications An Industrial Perspective☆33Sep 22, 2023Updated 2 years ago
- This is an official implementation code for paper "A Survey on Time-Series Pre-Trained Models" (TKDE-24).☆224Oct 7, 2024Updated last year
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- Helper functions to plot, evaluate, preprocess and engineer features for forecasting☆102Updated this week
- TimeGPT forecaster example using streamlit☆43Aug 5, 2023Updated 2 years ago
- An extension of Py-Boost to probabilistic modelling☆24Jan 19, 2023Updated 3 years ago
- PyTorch code for Learning Deep Time-index Models for Time Series Forecasting (ICML 2023)☆366May 1, 2025Updated 10 months ago
- A small wrapper to do Beta Boosting with XgBoost☆15Oct 26, 2021Updated 4 years ago
- Unofficial PyTorch implementation of Domain Adaptation Forecaster☆38Feb 20, 2024Updated 2 years ago
- A library for Time Series EDA (exploratory data analysis)☆73Aug 11, 2024Updated last year
- N-BEATS is a neural-network based model for univariate timeseries forecasting. N-BEATS is a ServiceNow Research project that was started …☆605Aug 8, 2022Updated 3 years ago
- Statistical/Machine Learning using Randomized and Quasi-Randomized (neural) networks (currently Python & R)☆20Mar 17, 2026Updated last week
- DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).☆2,277Feb 9, 2026Updated last month
- An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://ar…☆2,489Aug 12, 2024Updated last year
- Transfer Knowledge Learned from Multiple Domains for Time-series Data Prediction☆12Apr 20, 2018Updated 7 years ago
- Rethinking machine learning pipelines☆35Sep 29, 2025Updated 5 months ago
- Probabilistic time series modeling in Python☆5,146Mar 17, 2026Updated last week
- ☆21Nov 19, 2021Updated 4 years ago
- Resources about time series forecasting and deep learning.☆776Updated this week
- Official repository for the book Time Series Forecasting with Foundation Models☆54Dec 9, 2025Updated 3 months ago
- APDTFlow is a modern and extensible forecasting framework for time series data that leverages advanced techniques including neural ordina…☆43Nov 12, 2025Updated 4 months ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.☆902Mar 3, 2023Updated 3 years ago
- Make Polars DataFrames Generic Types☆15Apr 23, 2025Updated 11 months ago
- list of papers, code, and other resources☆1,045Aug 13, 2025Updated 7 months ago
- A short introduction to Conformal Prediction methods, with a few examples for classification and regression from the Astrophysical domain…☆13Jul 2, 2024Updated last year
- Fast window operations☆45Jun 2, 2024Updated last year
- Predict time-series with one line of code.☆437Updated this week
- catch22: CAnonical Time-series CHaracteristics☆466Updated this week