sihohan

De-Stijl

SASA

DeepLearningExamples

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

Awesome-TimeSeries-SpatioTemporal-Diffusion-Model

A survey and paper list of current Diffusion Model for Time Series and SpatioTemporal Data with awesome resources (paper, application, review, survey, etc.).

multivariate-time-series-data

siamese-pytorch

Implementation of Siamese Networks for image one-shot learning by PyTorch, train and test model on dataset Omniglot

cookiecutter

A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.

MEDIUM_NoteBook

Repository containing notebooks of my posts on Medium

mtad-gat-pytorch

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).

GDN

Implementation code for the paper "Graph Neural Network-Based Anomaly Detection in Multivariate Time Series" (AAAI 2021)

pytorch_geometric

Graph Neural Network Library for PyTorch

usad

stumpy

STUMPY is a powerful and scalable Python library for modern time series analysis

Pytorch-how-and-when-to-use-Module-Sequential-ModuleList-and-ModuleDict

Code for my medium article

Python

All Algorithms implemented in Python

anomalydetector

SR-CNN