Pytorch 101 Tutorial Series
PyTorch 101 series covering everything from the basic building blocks all the way to building custom architectures.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Tsai | 4,294 |  | 2 | 3 months ago | 47 | November 13, 2023 | 71 | apache-2.0 | Jupyter Notebook | |
| Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai | ||||||||||
| Pytorch Forecasting | 3,439 |  | 10 | 3 months ago | 34 | July 26, 2020 | 464 | mit | Python | |
| Time series forecasting with PyTorch | ||||||||||
| Deep Learning Time Series | 1,811 | 2 years ago | 8 | apache-2.0 | Jupyter Notebook | |||||
| List of papers, code and experiments using deep learning for time series forecasting | ||||||||||
| Flow Forecast | 1,759 | 3 months ago | 101 | gpl-3.0 | Python | |||||
| Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting). | ||||||||||
| Pytorch Ts | 1,068 | 6 months ago | 9 | April 24, 2022 | 73 | mit | Python | |||
| PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend | ||||||||||
| Getting Things Done With Pytorch | 873 | 3 years ago | 13 | apache-2.0 | Jupyter Notebook | |||||
| Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT. | ||||||||||
| Transformer | 691 | 10 months ago | 6 | gpl-3.0 | Jupyter Notebook | |||||
| Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series. | ||||||||||
| N Beats | 686 | a year ago | mit | Python | ||||||
| Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting. | ||||||||||
| Ppo For Beginners | 427 | 8 months ago | 2 | mit | Python | |||||
| A simple and well styled PPO implementation. Based on my Medium series: https://medium.com/@eyyu/coding-ppo-from-scratch-with-pytorch-part-1-4-613dfc1b14c8. | ||||||||||
| Time Series Autoencoder | 386 | a year ago | 5 | apache-2.0 | Python | |||||
| :chart_with_upwards_trend: PyTorch Dual-Attention LSTM-Autoencoder For Multivariate Time Series :chart_with_upwards_trend: | ||||||||||
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