Explore Projects
Discover 109 open source projects
Showing 41-60 of 109 projects
tslearn-team/tslearn
A machine learning toolkit for time series analysis and classification in Python.
qingsongedu/time-series-transformers-review
A curated list of awesome resources on transformers in time series analysis, forecasting, and more.
Alro10/deep-learning-time-series
A repository with papers, code, and experiments using deep learning for time series forecasting.
jolibrain/deepdetect
A C++ API and server for deep learning that supports popular frameworks like PyTorch, TensorFlow, and XGBoost.
KimMeen/Time-LLM
An official implementation of a time series forecasting model using large language models.
SeldonIO/alibi-detect
Detects anomalies and drift in data with algorithms for outlier, adversarial, and concept-drift detection.
curiousily/Getting-Things-Done-with-Pytorch
A collection of Jupyter Notebook tutorials on solving real-world problems with machine learning and deep learning using PyTorch.
griddb/griddb
GridDB is a fast and scalable open-source database for time-series IoT and big data applications.
cure-lab/LTSF-Linear
This repository provides an official implementation of a paper on using transformers for time series forecasting.
thuml/Autoformer
Autoformer: A deep learning model for long-term time series forecasting, focused on developers building with AI tools.
influxdata/kapacitor
Open-source framework for processing, monitoring, and alerting on time series data
RJT1990/pyflux
Open source time series library for Python, useful for statistical analysis and modeling.
WenjieDu/PyPOTS
A Python toolkit for building machine/deep learning models on partially-observed time series data
ContextLab/hypertools
A Python toolbox for gaining geometric insights into high-dimensional data, useful for vibe coders working with AI tools.
kwuking/TimeMixer
Official implementation of a decomposable multiscale mixing model for time series forecasting
johannfaouzi/pyts
A Python package for time series classification, useful for developers working with time-series data.
Arturus/kaggle-web-traffic
A Kaggle competition solution for predicting web traffic using RNNs and time series analysis.
raminmh/liquid_time_constant_networks
An open-source library for building Liquid Time-Constant Networks, a type of recurrent neural network for sequence modeling.
cnosdb/cnosdb
A high-performance, highly available, and distributed time series database written in Rust.
lehaifeng/T-GCN
A Temporal Graph Convolutional Network for predicting urban traffic flow using time-series data.
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