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.☆745Jun 8, 2026Updated last week
- Datasets for time series forecasting☆126May 18, 2026Updated 3 weeks ago
- Scalable and user friendly neural forecasting algorithms.☆4,156Updated this week
- Scalable machine 🤖 learning for time series forecasting.☆1,230Updated this week
- Fast implementations of common forecasting routines☆42May 18, 2026Updated 3 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…☆3,929Updated this week
- Calculates various features from time series data. Python implementation of the R package tsfeatures.☆446Apr 23, 2024Updated 2 years ago
- Lightning ⚡️ fast forecasting with statistical and econometric models.☆4,809Updated 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☆320Nov 8, 2024Updated last year
- ☆194Mar 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).☆226Oct 7, 2024Updated last year
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Helper functions to plot, evaluate, preprocess and engineer features for forecasting☆105Jun 8, 2026Updated last week
- An extension of Py-Boost to probabilistic modelling☆24Jan 19, 2023Updated 3 years ago
- TimeGPT forecaster example using streamlit☆44Aug 5, 2023Updated 2 years ago
- PyTorch code for Learning Deep Time-index Models for Time Series Forecasting (ICML 2023)☆364May 1, 2025Updated last year
- 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 …☆611Aug 8, 2022Updated 3 years ago
- Statistical/Machine Learning using Randomized and Quasi-Randomized (neural) networks (currently Python & R)☆20Mar 17, 2026Updated 3 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.
- Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).☆2,283Updated this week
- An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://ar…☆2,613Aug 12, 2024Updated last year
- Transfer Knowledge Learned from Multiple Domains for Time-series Data Prediction☆12Apr 20, 2018Updated 8 years ago
- Probabilistic time series modeling in Python☆5,199May 8, 2026Updated last month
- Rethinking machine learning pipelines☆37Sep 29, 2025Updated 8 months ago
- Hierarchical Time Series Forecasting with a familiar API☆226May 12, 2023Updated 3 years ago
- ☆21Nov 19, 2021Updated 4 years ago
- Resources about time series forecasting and deep learning.☆794Updated this week
- Official repository for the book Time Series Forecasting with Foundation Models☆57Dec 9, 2025Updated 6 months ago
- 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.
- APDTFlow is a modern and extensible forecasting framework for time series data that leverages advanced techniques including neural ordina…☆44Updated this week
- Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.☆904Mar 3, 2023Updated 3 years ago
- Make Polars DataFrames Generic Types☆15Apr 23, 2025Updated last year
- list of papers, code, and other resources☆1,057Aug 13, 2025Updated 10 months ago
- A short introduction to Conformal Prediction methods, with a few examples for classification and regression from the Astrophysical domain…☆14Jul 2, 2024Updated last year
- Fast window operations☆45Jun 2, 2024Updated 2 years ago
- Predict time-series with one line of code.☆436Mar 21, 2026Updated 2 months ago