eugene-kamenev's Stars
m-vokhm/Quadruple
A 128-bit floating-point arithmetic for Java
tgsmith61591/clust4j
A suite of classification clustering algorithm implementations for Java. A number of partitional, hierarchical and density-based algorithms including DBSCAN, k-Means, k-Medoids, MeanShift, Affinity Propagation, HDBSCAN and more.
ermshaua/window-size-selection
This is the supporting website for the paper "Window Size Selection In Unsupervised Time Series Analytics: A Review and Benchmark".
RebeccaSalles/TSPred
TSPred Package for R : Framework for Nonstationary Time Series Prediction
thuml/Nonstationary_Transformers
Code release for "Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting" (NeurIPS 2022), https://arxiv.org/abs/2205.14415
Experience-Monks/math-as-code
a cheat-sheet for mathematical notation in code form
GrammarViz2/grammarviz2_src
GrammarViz 2.0 public release:
fmadrid/LBLR
fmarchioni/masterspringboot
Source code for www.masterspringboot.com
JingweiZuo/TSStreamMining
Time Series Stream Mining
matrix-profile-foundation/mass-ts
MASS (Mueen's Algorithm for Similarity Search) - a python 2 and 3 compatible library used for searching time series sub-sequences under z-normalized Euclidean distance for similarity.
matrix-profile-foundation/tsmp
R Functions implementing UCR Matrix Profile Algorithm
TDAmeritrade/stumpy
STUMPY is a powerful and scalable Python library for modern time series analysis
matrix-profile-foundation/matrixprofile
A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone.
ensozos/Matrix-Profile
A Java library for Matrix Profile
baggepinnen/MatrixProfile.jl
Time-series analysis using the Matrix profile in Julia
zhihanyue/ts2vec
A universal time series representation learning framework
miriamspsantos/heterogeneous-distance-functions
A collection of heterogeneous distance functions handling missing values.
jcuda/jcuda-main
Summarizes the main JCuda libraries
alvarag/ConceptDriftMOA
Machine Learning algorithms for MOA designed to cope with concept drift.
Waikato/wekaRAPIDS
Weka package for RAPIDS.
arnedb/tsfuse
Python package for automatically constructing features from multiple time series
blue-yonder/tsfresh
Automatic extraction of relevant features from time series:
joshpxyne/gpt-migrate
Easily migrate your codebase from one framework or language to another.
paulorla/dynse
The Dynse (Dynamic Selection Based Drift Handler) Framework For Handlyng Concept Drifts
jlizier/jidt
JIDT: Java Information Dynamics Toolkit for studying information-theoretic measures of computation in complex systems
todithanasi/distributed-wavelet
Implementing Distributed Unrestricted Wavelet Synopses on Data Streams.
cinar/indicator
Indicator is a Golang module providing various stock technical analysis indicators for trading.
tocayacap/quantile-transformer
Quantile transformer in Java
dynatrace-oss/dynahist
DynaHist: A Dynamic Histogram Library for Java