945 Open source projects that are alternatives of or similar to Merlion

Gaussian dynamic Bayesian networks structure learning and inference based on the bnlearn package

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

A package that makes it trivial to create and evaluate machine learning pipeline architectures.

Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".

Python package for automatically constructing features from multiple time series

GluonTS Deep Learning with Modeltime

RNN based Time-series Anomaly detector model implemented in Pytorch.

ARCH models in Python

Introduction to time series preprocessing and forecasting in Python using AR, MA, ARMA, ARIMA, SARIMA and Prophet model with forecast evaluation.

📈 PyTorch dual-attention LSTM-autoencoder for multivariate Time Series 📈

Kaggle | Web Traffic Forecasting 📈

LONG-TERM SERIES FORECASTING WITH QUERYSELECTOR – EFFICIENT MODEL OF SPARSEATTENTION

An overview of univariate time series forecasting models with sample code.

fast implementation of singular spectrum transformation (change point detection algorithm)

Calculates various features from time series data. Python implementation of the R package tsfeatures.

A flexible data historian based on InfluxDB, Grafana, MQTT and more. Free, open, simple.

使用极端值理论(Extreme Value Theory)实现阈值动态自动化设置

A Python interface between Earth Engine and xarray for processing time series data

What is true, thank you, ernestly. A large variant benchmarking tool analogous to hap.py for small variants.

Call and benchmark YARPC services from the command line.

Exponential Smoothing & Moving Average Models in Java

R interface to Brazilian Central Bank web services

Repository for the AdaptiveRandomForest algorithm implemented in MOA 2016-04

Execute and document benchmarks reproducibly.

Timing results for BLAS (Basic Linear Algebra Subprograms) libraries in R

Visualize large time-series data in plotly

Using Kalman Filter to Predict Corona Virus Spread

Useful tools for periodicity analysis in time series data.

[Implementation example] Attend and Diagnose: Clinical Time Series Analysis Using Attention Models

Interactive performance benchmarking in Jupyter

demography package for R

Barrage is an opinionated supervised deep learning tool built on top of TensorFlow 2.x designed to standardize and orchestrate the training and scoring of complicated models.

The official QuestDB website, database documentation and blog.

Automated modeling and machine learning framework FEDOT

Automated machine learning (AutoML) with grammar-based genetic programming

A data preprocessing package for time series data. Design for machine learning and deep learning.

OpenSnitch is a GNU/Linux application firewall

A python multi-variate time series prediction library working with sklearn

foot是一个集足球数据采集器,简单分析的项目.AI足球球探为程序全自动处理,全程无人为参与干预足球分析足球预测程序.程序根据各大指数多维度数据,结合作者多年足球分析经验,精雕细琢,集天地之灵气,汲日月之精华,历时七七四十九天,经Bug九九八十一个,编码而成.有兴趣的朋友,可以关注一下公众号AI球探(微信号ai00268).

Sweeter debugging and benchmarking Python programs.

An interactive 3D animation using WebGL to depict a 2D predator prey ecology on a grid real-time mapped onto the surface of a 3D torus. Sound file is parsed then visualized both in time and frequency domains as well as rendered using Web Audio API - this is an exercise where I taught myself how to display data for an ongoing project on sound syn…

Encodings for neural architecture search

Parallel Patterns Implementation of PARSEC Benchmark Applications

Code used in the paper "Time Series Clustering via Community Detection in Networks"

🔬 Empirical CLI

A Keras library for multi-step time-series forecasting.

Easy-to-use UI for automatically sparsifying neural networks and creating sparsification recipes for better inference performance and a smaller footprint

Official PyTorch code for CVPR 2021 paper "AutoDO: Robust AutoAugment for Biased Data with Label Noise via Scalable Probabilistic Implicit Differentiation"

Generalized Method of Wavelet Moments (GMWM) is an estimation technique for the parameters of time series models. It uses the wavelet variance in a moment matching approach that makes it particularly suitable for the estimation of certain state-space models.

An AutoRecSys library for Surprise. Automate algorithm selection and hyperparameter tuning 🚀

Full Bayesian Inference for Hidden Markov Models

A Shared Memory Multithreaded Graph Benchmark Suite for Multicores

OpenJij : Framework for the Ising model and QUBO.

(Python, R, C++) Explainable outlier/anomaly detection through decision tree conditioning

Official codes for CVPR2021 paper "MIST: Multiple Instance Self-Training Framework for Video Anomaly Detection"

Google Cloud Platform Machine Learning Samples

Graph-based Knowledge Tracing: Modeling Student Proficiency Using Graph Neural Network

An R package for space-time anomaly detection using scan statistics.

Unsupervised Anomaly Detection with Generative Adversarial Networks on MIAS dataset

Computest Openrunner: Benchmark and functional testing for frontend-heavy web applications