88 Open source projects that are alternatives of or similar to prosper

Julia package for automatic Bayesian inference on a factor graph with reactive message passing

Probabilistic Machine Learning course lab @Units

Collection of probabilistic models and inference algorithms

Understanding normalizing flows

✨ A Python package for sparse representations and dictionary learning, including matching pursuit, K-SVD and applications.

Temporal-spatial Feature Learning of DCE-MR Images via 3DCNN

Statistical Rethinking (2nd Ed) with Tensorflow Probability

A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"

Using neural network to build expressive hierarchical distribution; A variational method to accurately estimate posterior uncertainty; A fast and general method for Bayesian inference. (ICML 2018)

Kalman Variational Auto-Encoder

Adversarial Imitation Via Variational Inverse Reinforcement Learning

This is project page for the paper "RG-Flow: a hierarchical and explainable flow model based on renormalization group and sparse prior". Paper link: https://arxiv.org/abs/2010.00029

Bayesian nonparametric models for python

I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers

A toy model of Friston's active inference in Tensorflow

Implementation of VLAE

Demultiplexing pooled scRNA-seq data with or without genotype reference

Scalable inference for a generative model of astronomical images

Code for paper: MvMM-RegNet: A new image registration framework based on multivariate mixture model and neural network estimation

PyTorch implementation of "Weight Uncertainty in Neural Networks"

PyTorch implementation of normalizing flow models

Gaussian processes in TensorFlow

Regression with Summary Statistics.

Feature learning over RDF data and OWL ontologies

Variational Autoencoder with Recurrent Neural Network based on Google DeepMind's "DRAW: A Recurrent Neural Network For Image Generation"

Deep universal probabilistic programming with Python and PyTorch

Face Recognition in real-world images [ICASSP 2017]

A MATLAB toolbox for classifier: Version 1.0.7

Regularized K-SVD Algorithm

Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"

geometry processing and shape analysis framework

Bayesian mixture models for estimating and clustering cancer cell fractions

Statistical Rethinking (2nd ed.) with NumPyro

Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen

A list of awesome resources on normalizing flows.

MIRT: Michigan Image Reconstruction Toolbox (Julia version)

DGMs for NLP. A roadmap.

A Latent Dirichlet Allocation implementation in Python.

Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)

Blang's software development kit

Tensorflow implementation of conditional variational auto-encoder for MNIST

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

Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB

This project has two parts. In part one, we use markov random field to denoise an image. In Part two, we use similar model for image segmentation.

Bayesian Coherent Point Drift (BCPD/BCPD++); Source Code Available

Abstractive opinion summarization system (SelSum) and the largest dataset of Amazon product summaries (AmaSum). EMNLP 2021 conference paper.

GPstuff - Gaussian process models for Bayesian analysis

Experiments on unsupervised point cloud reconstruction.

Modular Probabilistic Programming on MXNet

Code for the paper Implicit Weight Uncertainty in Neural Networks

Seminars DeepBayes Summer School 2018

Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features

Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019

AI Learning Hub for Machine Learning, Deep Learning, Computer Vision and Statistics

Official Repository of "Contextual Graph Markov Model" (ICML 2018 - JMLR 2020)

Natural Gradient, Variational Inference

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

Dictionary Learning for image processing

Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)

Separating Normalizing Flows code from Pyro and improving API