628 Open source projects that are alternatives of or similar to models

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.

A probabilistic programming language that combines automatic differentiation, automatic marginalization, and automatic conditioning within Monte Carlo methods.

Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead

GluonTS Deep Learning with Modeltime

Time series competition data

R package for statistical inference using partially observed Markov processes

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

SUpporting GRaphics with R for ANalysing Time Series

Probabilistic question-asking system: the program asks, the users answer. The minimal goal of the program is to identify what the user needs (a target), even if the user is not aware of the existence of such a thing/product/service.

Automatic feature engineering using deep learning and Bayesian inference using TensorFlow.

A new and computationally cheap method to perform human activity recognition using PoseNet and LSTM. Where we use PoseNet for Preprocessing and LSTM for understand the sequence.

The official QuestDB website, database documentation and blog.

Machine Learning - accelerated Bayesian inference

Model data as beliefs (at a certain time) about events (at a certain time).

Implementations of single and multi-ellipsoid nested sampling

Resources for working with time series and sequence data

CNN, RNN, and Bayesian NN classification for ECG time-series (using TensorFlow in Swift and Python)

Hands-on training labs for Deep Learning in Time Series course by CERTIFAI

📈 high level wrapper for parallel univariate time series forecasting 📉

A framework for historical volatility estimation and analysis.

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

Pairs trading strategy example based on Catalyst

Download and tidy time series data from the Australian Bureau of Statistics in R

Acquire data with honour and wisdom — using the way of the ninja.

Deep Convolutional Bidirectional LSTM for Complex Activity Recognition with Missing Data. Human Activity Recognition Challenge. Springer SIST (2020)

Periodic time series analysis tools based on information theory

A Univariate Time Series Analysis and ARIMA Modeling Package in ANSI C. Updated with SARIMAX and Auto ARIMA.

Estimating effective elastic thickness of the lithosphere

My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]

Data abstraction, storage, discovery, and serving system

About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008

Generation of Synthetic Populations Library

Sequence Modeling with Structured State Spaces

R Functions implementing UCR Matrix Profile Algorithm

Analyzes chronological patterns present in time-series data and provides human-readable descriptions

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

A well-tuned algorithm to generate & draw support/resistance line on time series. 根据时间序列自动生成支撑线压力线

Interactive visualization of Gaussian processes

A time series database prototype with multiple backends

Natural Gradient, Variational Inference

Bayesian inference for Gaussian mixture model with some novel algorithms

TalariaDB is a distributed, highly available, and low latency time-series database for Presto

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

KFAS: R Package for Exponential Family State Space Models

Stanマニュアルの日本語への翻訳プロジェクト

A Python library for machine-learning and feedback loops on streaming data

SVG time-series charting library

Resampling Tools for Time Series Forecasting with Modeltime

An Open Source Distributed Time Series Database with high performance, high compression ratio and high usability.

THIS REPO HAS MOVED TO https://github.com/apache/incubator-iotdb. TsFile is a columnar file format designed for time-series data, which supports efficient compression and query. It is easy to integrate TsFile with your IOT big data processing frameworks.

MODIS Assimilation and Processing Engine

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

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.

Occupancy detection of an office room from light, temperature, humidity and CO2 measurements

Open weather data for humans

Collection of several downsampling methods for time series visualisation purposes.

DANA: Dimension-Adaptive Neural Architecture (UbiComp'21)( ACM IMWUT)

Parallel nested sampling

A repository for code accompanying the manuscript 'An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series' (published at TNNLS)

By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.