Python stochastic-processes

Open-source Python projects categorized as stochastic-processes

Top 4 Python stochastic-process Projects

  • GPflow

    Gaussian processes in TensorFlow

  • torchsde

    Differentiable SDE solvers with GPU support and efficient sensitivity analysis.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • Point-Processes

    This repository contains the material (datasets, code, videos, spreadsheets) related to my book Stochastic Processes and Simulations - A Machine Learning Perspective.

  • Stochastic-Processes

    My book: Gentle Introduction to Chaotic Dynamical Systems. Includes stochastic dynamical systems and statistical properties of numeration systems in any dimension.

NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).

Index

What are some of the best open-source stochastic-process projects in Python? This list will help you:

Project Stars
1 GPflow 1,798
2 torchsde 1,473
3 Point-Processes 37
4 Stochastic-Processes 30

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