Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
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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). | ||||||||||
Training_extensions | 1,119 | 1 | 22 days ago | 55 | October 31, 2023 | 54 | apache-2.0 | Python | ||
Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™ | ||||||||||
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. | ||||||||||
Gaussian Ad Mvtec | 79 | a year ago | 2 | agpl-3.0 | Python | |||||
Code underlying our publication "Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection" at ICPR2020 | ||||||||||
Muad Dataset | 23 | 8 months ago | 2 | mit | Python | |||||
MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks [BMVC 2022] | ||||||||||
Transfertools | 13 | 3 years ago | 3 | December 16, 2019 | 1 | apache-2.0 | Jupyter Notebook | |||
Python toolbox for transfer learning. |