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41 search results found

Deep universal probabilistic programming with Python and PyTorch

Edward ⭐ 4,503

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

Gpflow ⭐ 1,783

Gaussian processes in TensorFlow

Bayesian Machine Learning ⭐ 1,587

Notebooks about Bayesian methods for machine learning

Awesome Normalizing Flows ⭐ 1,232

Awesome resources on normalizing flows.

Variational Autoencoder ⭐ 1,114

Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)

Variational Autoencoder ⭐ 1,049

Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)

Boltzmann Machines ⭐ 792

Boltzmann Machines in TensorFlow with examples

Good Papers ⭐ 231

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

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

Probabilistic Models ⭐ 196

Collection of probabilistic models and inference algorithms

Variational Inference With Normalizing Flows ⭐ 106

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

PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python

Ml Readings ⭐ 94

A list of papers / videos / tutorials / blog posts on machine learning

Mxfusion ⭐ 93

Modular Probabilistic Programming on MXNet

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

Vib Pytorch ⭐ 46

Pytorch implementation of Deep Variational Information Bottleneck

Ai_learning_hub ⭐ 45

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

A Latent Dirichlet Allocation implementation in Python.

Probai 2021 Pyro ⭐ 42

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

Artificial_neural_networks ⭐ 35

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

Mixed-curvature Variational Autoencoders (ICLR 2020)

Variational Inference in Gaussian Mixture Model

Code for AutoGP

Susiepca ⭐ 20

Scalable Ultra-Sparse Bayesian PCA

Optimisation Python ⭐ 18

A set of notebooks related to convex optimization, variational inference and numerical methods for signal processing, machine learning, deep learning, graph analysis, bayesian programming, statistics or astronomy.

Variationalautoencoders ⭐ 17

Comparison of Variational Autoencoders with Bayesian Neural Networks. Accuracy, Latent space, Reconstruction and White Noise filtering.

Implementations of various online inference algorithms for LDA, with Python interface.

Microbiome Mvib ⭐ 16

Microbiome-based disease prediction with multimodal variational information bottlenecks, Grazioli et al., PLOS Computational Biology 2022

Zhusuan Pytorch ⭐ 14

An Elegant Library for Bayesian Deep Learning in PyTorch

Torch Reparametrised Mixture Distribution ⭐ 14

PyTorch implementation of the mixture distribution family with implicit reparametrisation gradients.

Machine Learning Summer Schools ⭐ 14

Curated materials for different machine learning related summer schools

A Python Library for Probabilistic Sparse Coding with Non-Standard Priors and Superpositions

Minimal Gaussian process library in JAX with a simple (custom) approach to state management.

Bayesian Methods For Machine Learning ⭐ 8

Bayesian Methods for Machine Learning

Metric Gaussian Variational Inference

Generative ⭐ 5

Repository to explore Generative Models

VIMCO in tensorflow.

Pymc Advi Hmc Demo ⭐ 5

Demonstrating HMC and ADVI algorithms for Bayesian data analysis using PYMC3.

(AIWAE) Improving importance weighted auto-encoders with annealed importance sampling

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