1,707 skills found · Page 1 of 57
facebook / ProphetTool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
google-research / TimesfmTimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
unit8co / DartsA python library for user-friendly forecasting and anomaly detection on time series.
NirantK / Awesome Project IdeasCurated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas
facebookresearch / KatsKats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.
amazon-science / Chronos ForecastingChronos: Pretrained Models for Time Series Forecasting
sktime / Pytorch ForecastingTime series forecasting with PyTorch
Nixtla / NixtlaTimeGPT-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 capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.
ddz16 / TSFpaperThis 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 type of model.
Alro10 / Deep Learning Time SeriesList of papers, code and experiments using deep learning for time series forecasting
KimMeen / Time LLM[ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"
yuqinie98 / PatchTSTAn offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730
curiousily / Getting Things Done With PytorchJupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER
thuml / AutoformerAbout Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
cure-lab / LTSF Linear[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"
AIStream-Peelout / Flow ForecastDeep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
thuml / ITransformerOfficial implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight)
WenjieDu / PyPOTSA Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputation/classification/clustering/forecasting/anomaly detection/cleaning on incomplete industrial (irregularly-sampled) multivariate TS with NaN missing values
kwuking / TimeMixer[ICLR 2024] Official implementation of "TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting"
GestaltCogTeam / BasicTSA Fair and Scalable Time Series Forecasting Benchmark and Toolkit.
