time-series-transformers-review
Awesome-ComputerVision
time-series-transformers-review | Awesome-ComputerVision | |
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85 | 6 | |
2,103 | 98 | |
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4.8 | 1.3 | |
26 days ago | about 1 year ago | |
Python | ||
MIT License | MIT License |
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time-series-transformers-review
- time-series-transformers-review: NEW Data - star count:1424.0
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Covering the main Time Series Forecasting models
More papers on similar approaches listed here and here: "Application Domains of Time Series Transformers"
- time-series-transformers-review: NEW Data - star count:1114.0
Awesome-ComputerVision
- I'm update Awesome Computer Vision (added MAE paper, classification)
- Github - I made Awesome Computer Vision. Current content created includes Classification, Segmentation, Detection, Fine grained Recognition, Self-superviseld Learning, Meta Learning. Unlike the existing Awesome, Kaggle and colab running code were added. Thanks for attention
- I made Awesome Computer Vision to celebrate Christmas...!
- I made Awesome Computer Vision
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I made Awesome Computer Vision..!
Awesome ComputerVision
What are some alternatives?
gluonts - Probabilistic time series modeling in Python
pytorch-toolbelt - PyTorch extensions for fast R&D prototyping and Kaggle farming
neural_prophet - NeuralProphet: A simple forecasting package
Tabular - Useful code for tabular modeling and automation.
F1FantasyData - Price and sentiment data from the f1 fantasy game.
lightning-flash - Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7 data domains
ETSformer - PyTorch code for ETSformer: Exponential Smoothing Transformers for Time-series Forecasting
sigmarsgarden - Opus Magnum's Sigmar's Garden Autosolver, using OpenCV Template Matching
awesome-project-ideas - Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas
ml-cvnets - CVNets: A library for training computer vision networks
tsai - Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
DataAug4Code - Source Code Data Augmentation for Deep Learning: A Survey.