ML4ITS

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1. mtad-gat-pytorch mtad-gat-pytorchPublic

   PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).

   Python 395 88

2. TimeVQVAE TimeVQVAEPublic

   [official] PyTorch implementation of TimeVQVAE from the paper ["Vector Quantized Time Series Generation with a Bidirectional Prior Model", AISTATS 2023]

   Jupyter Notebook 165 16

3. TimeVQVAE-AnomalyDetection TimeVQVAE-AnomalyDetectionPublic

   [official] PyTorch implementation of TimeVQVAE-AD, a time series anomaly detection model.

   Jupyter Notebook 100 17

4. tdt99-2020 tdt99-2020Public

   Repository for the theory module TDT99

   37 6

5. Latent-Diffusion-Model-for-Conditional-Reservoir-Facies-Generation Latent-Diffusion-Model-for-Conditional-Reservoir-Facies-GenerationPublic

   [official] PyTorch implementation of Latent Diffusion Model for Conditional Reservoir Facies Generation

   Python 21 6

6. synthetic-data synthetic-dataPublic

   Generate synthetic time-series using generative adversarial networks. Functional end-to-end system for dataset generation, model registry/inferences and UI interface for evaluation.

   Jupyter Notebook 20 4