SecantZhang

SOM-VAE

Pytorch implementation of SOM-VAE: INTERPRETABLE DISCRETE REPRESENTATION LEARNING ON TIME SERIES https://arxiv.org/pdf/1806.02199v7.pdf

PyPOTS

A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputation/classification/clustering/forecasting/anomaly detection/cleaning on incomplete industrial (irregularly-sampled) multivariate TS with NaN missing values

kshape-python

Python implementation of k-Shape

CIVET

code for CIVET

SEAnet

KDD21 Deep Learning Embeddings for Data Series Similarity Search

LSTM-based-visual-query-system

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

alpsplot

Python plotting library of alps-lab style using matplotlib.

LineNet-and-LineBench-SIGMOD2023

Official repository for the paper “Learned Data-aware Image Representations of Line Charts for Similarity Search” (SIGMOD'23)

topembedding

llama.cpp

LLM inference in C/C++

ivis

Dimensionality reduction in very large datasets using Siamese Networks

GGAE-public

lammps

Public development project of the LAMMPS MD software package

miniAero

MiniAero Unstructured Finite Volume Compressible Navier-Stokes Mini-App

python-afl

American Fuzzy Lop fork server and instrumentation for pure-Python code

GeometricAutoencoder

Code for the ICML 2023 paper "Geometric Autoencoders - What You See is What You Decode"

GeometricAutoencoder

Code for the ICML 2023 paper "Geometric Autoencoders - What You See is What You Decode"

TSRM

Time Series Representation Models

dtw-python

Python port of R's Comprehensive Dynamic Time Warp algorithms package

GRAE

Geometry Regularized Autoencoders (GRAE) for large-scale visualization and manifold learning

TopoEmbedding

Topologically Regularized Data Embeddings

topological-autoencoders

Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.

Manifold-based-time-series-forecasting

This repository contains code to the paper "Manifold based time series forecasting"

DIMAL

nevergrad

A Python toolbox for performing gradient-free optimization

s2v_rc

Speech2Vec Reality Check

isomap

Autoencoders

Pytorch implementation of various autoencoders (contractive, denoising, convolutional, randomized)

torch_DCEC

Pytorch Deep Clustering with Convolutional Autoencoders implementation