72 Open source projects that are alternatives of or similar to Dapper

Course on data assimilation (DA)

A Python module implementing some standard algorithms used in nonlinear time series analysis

A simple probabilistic programming language.

No description or website provided.

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

Julia package for automatically generating Bayesian inference algorithms through message passing on Forney-style factor graphs.

rstanarm R package for Bayesian applied regression modeling

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

Bayesian methods in deep learning Summer School

Chaotic attractors (Lorenz, Rossler, Rikitake etc.)

Regression with Summary Statistics.

⏰ 🔥 A TCP proxy to simulate network and system conditions for chaos and resiliency testing

chaoskube periodically kills random pods in your Kubernetes cluster.

Pynamical is a Python package for modeling and visualizing discrete nonlinear dynamical systems, chaos, and fractals.

Probabilistic Inference on Noisy Time Series

A Chaos Engineering Platform for Kubernetes.

Tools for the exploration of chaos and nonlinear dynamics

🐢 bayesAB: Fast Bayesian Methods for A/B Testing

A Chaos Engineering Bootcamp

A toolkit for testing TiDB

Fast, general-purpose interactive applications for dynamical systems

A common framework for implementing and using log densities for inference.

A Java Toolbox for Scalable Probabilistic Machine Learning

Rank-normalization, folding, and localization: An improved R-hat for assessing convergence of MCMC

Delay coordinates embedding and Dataset definitions

Awesome chaos engineering page

Gamified Chaos Engineering Tool for Kubernetes

A Python package for building Bayesian models with TensorFlow or PyTorch

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

Introduce failures into HTTP requests via a proxy server

A collection of Bayesian data analysis recipes using PyMC3

PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course

A curated list of Chaos Engineering resources.

The Chaos Programming Language

Award winning software library for nonlinear dynamics

Rule based pod killing kubernetes controller

Probabilistic reasoning and statistical analysis in TensorFlow

Statistical Rethinking with PyTorch and Pyro

High-quality implementations of standard and SOTA methods on a variety of tasks.

Notebooks about Bayesian methods for machine learning

Implementation of Bayesian Personalized Ranking (BPR) for Multiple Feedback Channels

Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.

xk6 extension for running chaos experiments with k6 💣

🔥 CHAOS is a Remote Administration Tool that allow generate binaries to control remote operating systems.

Fatou sets in Julia (Fractals, Newton basins, Mandelbrot)

loo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)

A Chaos Monkey system for Docker Swarm

An easy-to-use, modular, extendable and absurdly fast Julia package for dynamical billiards in two dimensions.

Cellular Automata Simulator

Chaos testing, network emulation, and stress testing tool for containers

A hand-made SMP-aware kernel

Simulating shitty network connections so you can build better systems.

This repository helps performance testers and engineers who wants to dive into DevOps and SRE world.

Chaos Engineering Working Group

Docker-based utility for testing network failures and partitions in distributed applications

Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.

shinystan R package and ShinyStan GUI

An easy-to-use interface for measuring uncertainty and robustness.

The base NIMBLE package for R

Chaos engineering tool for simulating real-world distributed system failures