kumsh

Gen

A general-purpose probabilistic programming system with programmable inference

intro_dgm

An Introduction to Deep Generative Modeling: Examples

edward2

A simple probabilistic programming language.

fiber

Distributed Computing for AI Made Simple

numpyro

Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

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 ;)

Stan.jl

WIP: Stan.jl v6 refactors CmdStan v6. Stan.jl illustrates the usage of the new 'single method' packages, e.g. StanSample, StanOptimize, etc.

120-Data-Science-Interview-Questions

Answers to 120 commonly asked data science interview questions.

apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

data_split_in_Beam

Apache Beam for splitting the data

DeepLearningExamples

Deep Learning Examples

deeprob

deep probabilistic framework

double_mnist_analysis

Analysing double mnist data to understand if any relational knowledge is present

edward

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

gen-quickstart

Docker file for building Gen and Jupyter notebooks for tutorials and case studies

greta

simple and scalable statistical modelling in R

indigo

:ramen: Minimalist Jekyll Template

keras-tuner

Hyperparameter tuning for humans

LiteratureDL4Graph

minimal-mistakes

:triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.

OpenSKAI

pixel-cnn-pp

Pytorch Implementation of OpenAI's PixelCNN++

pml2-book

Probabilistic Machine Learning: Advanced Topics

project-monai.github.io

project monai website https://monai.io/

pyprob

A PyTorch-based library for probabilistic programming and inference compilation

pyprobml

Python code for "Probabilistic Machine learning" book by Kevin Murphy

pyro

Deep universal probabilistic programming with Python and PyTorch

RapiD

An extension of the iD map editor for mapping with AI-generated features.

resampling_dgms

TuringTutorials

Educational material and tutorials for the Turing language