719 Open source projects that are alternatives of or similar to Survival Analysis Using Deep Learning

Fast & scalable MCMC for all your exoplanet needs!

Forecasting 🇫🇷 elections with Bayesian statistics 🥳

Bayesian Coherent Point Drift (BCPD/BCPD++); Source Code Available

Scalable 1D Gaussian Processes in C++, Python, and Julia

A Python package for approximate Bayesian inference and optimization using Gaussian processes

Full Bayesian Inference for Hidden Markov Models

This contains a number of IP[y]: Notebooks that hopefully give a light to areas of bayesian machine learning.

Probabilistic Programming with Gaussian processes in Julia

Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)

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A didactic Gaussian process package for researchers in Jax.

Probabilistic Programming with Gaussian processes in Julia

Particle filtering and sequential parameter inference in Python

The Trendiness of Trends

Fast inference for Gaussian processes in problems involving time. Partly built on results from https://proceedings.mlr.press/v161/tebbutt21a.html

GPstuff - Gaussian process models for Bayesian analysis

Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB

Sequential Monte Carlo algorithm for approximation of posterior distributions.

A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation

Useful tools for periodicity analysis in time series data.

R-package for interpretable nonparametric modeling of longitudinal data using additive Gaussian processes. Contains functionality for inferring covariate effects and assessing covariate relevances. Various models can be specified using a convenient formula syntax.

Fast and flexible Gaussian Process regression in Python

Fast and Easy Infinite Neural Networks in Python

StateSpaceModels.jl is a Julia package for time-series analysis using state-space models.

An open-source time-series SQL database optimized for fast ingest and complex queries. Packaged as a PostgreSQL extension.

Statistical Rethinking with PyTorch and Pyro

The plugin-driven server agent for collecting & reporting metrics.

Imhotep is a large-scale analytics platform built by Indeed.

Generalized linear mixed-effect model in Python

Code for "A-NICE-MC: Adversarial Training for MCMC"

Use Google Maps Timeline data to compare with COVID-19 patient history location.

1st place solution

List of tools & datasets for anomaly detection on time-series data.

COVID-19 statistics for Germany. For states and counties. With time series data. Daily updates. Official RKI numbers.

Technical Analysis Library Time-Series

Deep learning meets molecular dynamics.

CRAN R Package: Time Series Missing Value Imputation

End-to-end earthquake detection pipeline via efficient time series similarity search

tsbox: Class-Agnostic Time Series in R

Financial market technical analysis & indicators in Julia

BOPP: Bayesian Optimization for Probabilistic Programs

GANs for time series generation in pytorch

A sophisticated smart symptom search engine

Realtime animated graphs with PubNub and C3.

A python library for time-series smoothing and outlier detection in a vectorized way.

A Python tool for estimating velocity and time-series from Interferometric Synthetic Aperture Radar (InSAR) data.

Medical Concept Annotation Tool

A serverless implementation of the FHIR standard that enables users to focus more on their business needs/uniqueness rather than the FHIR specification

A Python toolbox for gaining geometric insights into high-dimensional data

TAPAS - Translational Algorithms for Psychiatry-Advancing Science

Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/presentation/30/ video: https://www.youtube.com/watch?v=Jb9eklfbDyg

Annotation of ECG signals using deep learning, tensorflow’ Keras

The Open Source Time-Series Data Historian

👔 Health care application for reminding health-todo lists and making healthy habits every day.

A Python implementation of Seasonal and Trend decomposition using Loess (STL) for time series data.

Neural Architecture Search with Bayesian Optimisation and Optimal Transport

The Prometheus monitoring system and time series database.

A Time Series Data Browser

Grid Solutions Framework

Quantitative systematic trading strategy development and backtesting in Julia