Stars
Source code behind the python-patterns.guide site by Brandon Rhodes
TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series, from ServiceNow Research
Repository of Transformer based PyTorch Time Series Models
Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoo…
Probabilistic time series modeling in Python
Repository of Transformer based PyTorch Time Series Models
Core data gathering, validation, processing, and reporting package for the Solar Forecast Arbiter
tsl: a PyTorch library for processing spatiotemporal data.
mbohlkeschneider / gluon-ts
Forked from awslabs/gluontsGluonTS - Probabilistic Time Series Modeling in Python
Code associated to "Multi-step probabilistic forecasting model using deep learning parametrized distributions" paper
PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend
CNN LSTM architecture implemented in Pytorch for Video Classification
A simple PyTorch implementation of Population Based Training of Neural Networks.
The official code for "Spatial temporal transformer networks for traffic flow forecasting"
Repo related to our AAAI 2021 paper "A spatio-temporal LSTM model to forecast across multiple temporal and spatial scales"
About Code release for "Autoforme 8F14 r: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
Multivariate Time Series Forecasting with efficient Transformers. Code for the paper "Long-Range Transformers for Dynamic Spatiotemporal Forecasting."
PARA-ATM Research Collection
Multi-Step Spatio-Temporal Forecasting: https://authors.elsevier.com/sd/article/S0306-2619(22)01822-0
A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.
constrained nonlinear optimization for scientific machine learning, UQ, and AI
A Python environment for large-scale optimization.
Open-source controller for wind and hybrid plants