Repository Index

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

• artificial-intelligence
• deep-learning
• generative-model
• score-matching

Bayesian Modeling and Probabilistic Programming in Python

• python
• statistical-analysis
• bayesian-inference
• mcmc

Deep universal probabilistic programming with Python and PyTorch

• python
• pytorch
• machine-learning
• bayesian

Denoising Diffusion Probabilistic Models

Probabilistic time series modeling in Python

• time-series
• deep-learning
• forecasting
• neural-networks

Scalable and user friendly neural :brain: forecasting algorithms.

• deep-learning
• forecasting
• esrnn
• nbeats

Unofficial implementation of Image Super-Resolution via Iterative Refinement by Pytorch

• pytorch
• diffusion-probabilistic
• super-resolution
• ddpm

Release for Improved Denoising Diffusion Probabilistic Models

Fast, flexible and easy to use probabilistic modelling in Python.

• python
• machine-learning
• probabilistic-graphical-models
• pytorch

Python Toolkit for Causal and Probabilistic Reasoning

• python
• bayesian-networks
• causal-inference
• causal-discovery

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

• pyro
• jax
• hmc
• inference-algorithms

Unsupervised Learning for Image Registration

• image-registration
• image-alignment
• machine-learning
• deep-learning

Fast, accurate and scalable probabilistic data linkage with support for multiple SQL backends

• record-linkage
• spark
• em-algorithm
• deduplication

Official PyTorch Code and Models of "RePaint: Inpainting using Denoising Diffusion Probabilistic Models", CVPR 2022

• cvpr2022
• diffusion-models
• inpainting

A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow

• bayesian-inference
• probabilistic-programming
• graphical-models
• generative-models

A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.

• python
• forecasting
• bayesian
• exponential-smoothing

Deep probabilistic analysis of single-cell and spatial omics data

• scrna-seq
• variational-bayes
• variational-autoencoder
• cite-seq

The Python ensemble sampling toolkit for affine-invariant MCMC

• python
• mcmc
• mcmc-sampler
• probabilistic-data-analysis

Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models

• forecasting
• scikit-learn
• machine-learning
• python

Probabilistic Context Free Grammar (PCFG) password guess generator

A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python

• python
• sklearn
• data-science
• framework

Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.

• time-series-analysis
• model-selection
• bayesian-inference
• anomaly-detection

Inference of probabilistic schedules from empirical data about transit vehicles.