flow-forecast
TS Framework
An open-source deep learning framework for time series forecasting and analysis
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
2k stars
28 watching
295 forks
Language: Python
last commit: about 1 month ago anomaly-detectiondeep-learningdeep-neural-networksforecastinghacktoberfestlstmpytorchstate-of-the-art-modelstime-seriestime-series-analysistime-series-forecastingtime-series-regressiontransfer-learningtransformer
Related projects:
| Repository | Description | Stars |
|---|---|---|
 hfawaz/dl-4-tsc | This project provides a framework for evaluating and comparing different deep learning architectures for time series classification tasks. | 1,576 |
 alipsgh/tornado | A Python framework for incremental and online learning from data streams with concept drift detection | 128 |
 jpeg729/pytorch_bits | An experimental framework for developing and testing deep learning models on time-series prediction tasks | 79 |
 damitkwr/esrnn-gpu | A PyTorch implementation of an optimized deep learning model for time series forecasting on GPUs. | 319 |
 openstef/openstef | A package designed to automate machine learning pipelines for short-term energy forecasting using Python. | 94 |
 shawshank-smile/pytsda-tdengine | An end-to-end time series data analysis system with integrated machine learning and deep learning capabilities | 23 |
 wizaron/deep-forecast-pytorch | A deep learning-based framework for predicting wind speeds using LSTM networks in PyTorch. | 180 |
 torchspatiotemporal/tsl | A comprehensive library for processing spatiotemporal data with PyTorch | 281 |
 nvidia/earth2studio | A Python-based framework for building and deploying AI-driven weather and climate workflows | 116 |
 dmmiller612/sparktorch | A PyTorch implementation on Apache Spark for distributed deep learning model training and inference. | 339 |
 nixtla/mlforecast | A framework to perform time series forecasting using machine learning models on large datasets. | 924 |
 erotemic/netharn | A PyTorch framework for managing and automating deep learning training loops with features like hyperparameter tracking and single-file deployments. | 40 |
 yjxiong/tsn-pytorch | A PyTorch implementation of Temporal Segment Networks (TSN) for action recognition and video understanding. | 1,066 |
 tgjeon/tensorflow-tutorials-for-time-series | A comprehensive guide to time series prediction using TensorFlow | 1,108 |
 skforecast/skforecast | A Python library for building machine learning models to forecast time series data | 1,189 |