1343 Open source projects that are alternatives of or similar to Pumas.jl

This project has moved to https://git.dynare.org/Dynare/dynare

A Bayesian Analysis Toolkit in Julia

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

Full Bayesian Inference for Hidden Markov Models

Human-explainable AI.

A simple probabilistic programming language.

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

Arrays with arbitrarily nested named components.

A Python package for building Bayesian models with TensorFlow or PyTorch

Open-source project hosted at https://makeuseofdata.com to crowdsource a robust collection of notes related to data science (math, visualization, modeling, etc)

Projection predictive variable selection

Notebooks of Python and R code which illustrates basic causal inference using simulated data

Machine learning, in numpy

ELFI - Engine for Likelihood-Free Inference

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

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

Fast and Easy Infinite Neural Networks in Python

High-performance Bayesian Data Analysis on the GPU in Clojure

Probabilistic reasoning and statistical analysis in TensorFlow

Brain Modeling Toolkit

A statistical framework that serves as a common interface to a large range of models

An extensible framework for high-performance geostatistics in Julia

Generalized linear mixed-effect model in Python

A collection of Bayesian data analysis recipes using PyMC3

Computations and statistics on manifolds with geometric structures.

Facsimile Simulation Library

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

A resource list for causality in statistics, data science and physics

Deep Learning over PyTorch

Project Home repo for Central Dockerfile and Project-wide issues

Mathematics and statistics library for TypeScript.

This curated list contains python packages for time series analysis

Open source robotics simulator. Through Ignition Gazebo users have access to high fidelity physics, rendering, and sensor models. Additionally, users and developers have multiple points of entry to simulation including a graphical user interface, plugins, and asynchronous message passing and services. Ignition Gazebo is derived from Gazebo, and represents over 16 years of development and experience in robotics and simulation. This library is part of the Ignition Robotics project.

Practical volume computation and sampling in high dimensions

Frequency-domain photonic simulation and inverse design optimization for linear and nonlinear devices

NIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching

Deep Neural Network Sandbox for JavaScript.

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Pandas-based utility to calculate weighted means, medians, distributions, standard deviations, and more.

brief introduction to Python for neural networks

DeepSMILES - A variant of SMILES for use in machine-learning

Minimal and clean examples of machine learning algorithms implementations

Deep Learning for Automatic Pneumonia Detection, RSNA challenge

Tool suite for kappa models. Documentation and binaries can be found in the release section. Try it online at

A tribute to Mad TV. Written in BlitzMax, Lua and a bit of C.

A convenience R package for getting Wikipedia article access statistics (and more).

An implementation of DiscoGAN in tensorflow

eBay's TSV Utilities: Command line tools for large, tabular data files. Filtering, statistics, sampling, joins and more.

An attempt at a PyTorch implimentation of "Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation"

Arrays for working with categorical data (both nominal and ordinal)

🦄 State-of-the-Art Conversational AI with Transfer Learning

Tools for financial economics. Curated wrapper over Python ecosystem. Source code for fecon235 Jupyter notebooks.

Official Pytorch code for (AAAI 2020) paper "Capsule Routing via Variational Bayes", https://arxiv.org/pdf/1905.11455.pdf

Statistics visualizer for org-mode

superseriousstats is a fast and efficient program to create statistics out of various types of chat logs

Unknown Horizons official code repository

Measure and visualize machine learning model performance without the usual boilerplate.

Linq extensions to calculate basic statistics

3D physics engine for D