tsl
Spatiotemporal data processor
A comprehensive library for processing spatiotemporal data with PyTorch
tsl: a PyTorch library for processing spatiotemporal data.
281 stars
10 watching
27 forks
Language: Python
last commit: 11 months ago
Linked from 1 awesome list
deep-learninggnngraph-neural-networkspytorchspatio-temporalspatio-temporal-analysisspatio-temporal-dataspatio-temporal-graphspatio-temporal-predictionspatiotemporalspatiotemporal-dataspatiotemporal-data-analysisspatiotemporal-forecastingtemporal-datatemporal-graphs
sacridini/awesome-geospatialRelated projects:
| Repository | Description | Stars |
|---|---|---|
 benedekrozemberczki/pytorch_geometric_temporal | A PyTorch extension for building temporal graph neural networks with support for recurrent and attention-based models | 2,694 |
 yjxiong/tsn-pytorch | A PyTorch implementation of Temporal Segment Networks (TSN) for action recognition and video understanding. | 1,066 |
 speedinghzl/pytorch-segmentation-toolbox | Provides PyTorch implementations of deep learning models for semantic segmentation | 772 |
 tstandley/xception-pytorch | An implementation of a deep learning model using PyTorch and depthwise separable convolutions for image classification | 249 |
 claws-lab/jodie | A PyTorch implementation of a representation learning framework for dynamic temporal networks | 362 |
 swall0w/torchstat | An analyzer tool for neural networks built on PyTorch | 1,468 |
 predict-idlab/tsflex | A toolkit for flexible time series processing and feature extraction. | 405 |
 jpeg729/pytorch_bits | An experimental framework for developing and testing deep learning models on time-series prediction tasks | 79 |
 tomrunia/pytorchwavelets | PyTorch implementation of wavelet analysis for signal processing | 307 |
 kaiyangzhou/dassl.pytorch | A PyTorch toolbox for supporting research and development of domain adaptation, generalization, and semi-supervised learning methods in computer vision. | 1,236 |
 hfawaz/dl-4-tsc | This project provides a framework for evaluating and comparing different deep learning architectures for time series classification tasks. | 1,576 |
 damitkwr/esrnn-gpu | A PyTorch implementation of an optimized deep learning model for time series forecasting on GPUs. | 319 |
 clementpinard/sfmlearner-pytorch | Pytorch implementation of unsupervised depth and ego-motion learning from video sequences | 1,022 |
 vermeille/torchelie | A collection of utility functions and tools for building deep learning models with PyTorch | 111 |
 aistream-peelout/flow-forecast | An open-source deep learning framework for time series forecasting and analysis | 2,080 |