100 Open source projects that are alternatives of or similar to probai-2021

Materials of the Nordic Probabilistic AI School 2019.

사회과학자를 위한 데이터과학 방법론 (코드 저장소)

Microscopic Markov Chain Approach to model the spreading of COVID-19

A PyTorch Implementation of Convolutional Conditional Neural Process.

Bayesian spatial analysis

Mini stats toolkit for Clojure/Script

PyTorch implementation of the paper "NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity." (NeurIPS 2020)

Functions for phylogenetic analyses

Bayesian Generalized Linear Models with Time-Varying Coefficients

A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.

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

Solutions of practice problems from the Richard McElreath's "Statistical Rethinking" book.

An awesome & curated list for Artificial General Intelligence, an emerging inter-discipline field that combines artificial intelligence and computational cognitive sciences.

Tools for the symbolic manipulation of PyMC models, Theano, and TensorFlow graphs.

Multi-Touch Attribution

Statistical Rethinking course in pymc3

Code for ICML 2019 paper "Probabilistic Neural-symbolic Models for Interpretable Visual Question Answering" [long-oral]

Code repository for the paper: Hierarchical Kinematic Probability Distributions for 3D Human Shape and Pose Estimation from Images in the Wild (ICCV 2021)

Bayesian neural networks in PyTorch

Bayesian Deep Learning: A Survey

Exploratory analysis of Bayesian models with Julia

🔗 Methods for Correlation Analysis

Uses Stan sampler and math library to semiparametrically fit linear and multilevel models with additive Bayesian Additive Regression Tree (BART) components.

Bindings for Bayesian TidyModels

yet another general purpose naive bayesian classifier.

Tutorial on model assessment, model selection and inference after model selection

A repository of resources for understanding the concepts of machine learning/deep learning.

Examples for Bayesian inference using DynamicHMC.jl and related packages.

Blang's software development kit

Repo for the Tutorials of Day1-Day3 of the Nordic Probabilistic AI School 2021 (https://probabilistic.ai/)

A pytorch implementation of the paper "Prediction, Consistency, Curvature: Representation Learning for Locally-Linear Control"

A program for kids who want to build good AI

The sample question for Interview a job in Binary options

cheat sheet for Artificial Intelligence

DeepGTT: Learning Travel Time Distributions with Deep Generative Model

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

Implementations of the ICML 2017 paper (with Yarin Gal)

Machine Learning models from scratch with a better visualisation

The Predictive Ecosystem Analyzer (PEcAn) is an integrated ecological bioinformatics toolbox.

Hidden Markov models in PyMC3

Separating Normalizing Flows code from Pyro and improving API

CmdStanR: the R interface to CmdStan

Collection of probabilistic models and inference algorithms

Multi-core BUGS for fast Bayesian inference of large hierarchical models

ELFI - Engine for Likelihood-Free Inference

A collection of Methods and Models for various architectures of Artificial Neural Networks

Bayesian optimization for Python

MTfit code for Bayesian Moment Tensor Fitting

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.

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

shinystan R package and ShinyStan GUI

Latent Dirichlet Allocation

Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. Now almost entirely superseded by the models-by-example repo.

BAS R package https://merliseclyde.github.io/BAS/

A Python Library for Deep Probabilistic Modeling

Implementations of autoencoder, generative adversarial networks, variational autoencoder and adversarial variational autoencoder

Another A/B test library

arxiv.org/abs/1801.07710v2

Reproducible Bayesian data analysis pipelines with targets and cmdstanr

Bayesian nonparametric models for python