Awesome Open Source
Awesome Open Source
Combined Topics
variational-inference
x
Advertising
📦 10
All Projects
Application Programming Interfaces
📦 124
Applications
📦 192
Artificial Intelligence
📦 78
Blockchain
📦 73
Build Tools
📦 113
Cloud Computing
📦 80
Code Quality
📦 28
Collaboration
📦 32
Command Line Interface
📦 49
Community
📦 83
Companies
📦 60
Compilers
📦 63
Computer Science
📦 80
Configuration Management
📦 42
Content Management
📦 175
Control Flow
📦 213
Data Formats
📦 78
Data Processing
📦 276
Data Storage
📦 135
Economics
📦 64
Frameworks
📦 215
Games
📦 129
Graphics
📦 110
Hardware
📦 152
Integrated Development Environments
📦 49
Learning Resources
📦 166
Legal
📦 29
Libraries
📦 129
Lists Of Projects
📦 22
Machine Learning
📦 347
Mapping
📦 64
Marketing
📦 15
Mathematics
📦 55
Media
📦 239
Messaging
📦 98
Networking
📦 315
Operating Systems
📦 89
Operations
📦 121
Package Managers
📦 55
Programming Languages
📦 245
Runtime Environments
📦 100
Science
📦 42
Security
📦 396
Social Media
📦 27
Software Architecture
📦 72
Software Development
📦 72
Software Performance
📦 58
Software Quality
📦 133
Text Editors
📦 49
Text Processing
📦 136
User Interface
📦 330
User Interface Components
📦 514
Version Control
📦 30
Virtualization
📦 71
Web Browsers
📦 42
Web Servers
📦 26
Web User Interface
📦 210
The Top 34 Variational Inference Open Source Projects
Categories
>
Machine Learning
>
Variational Inference
Pyro
⭐
6,870
Deep universal probabilistic programming with Python and PyTorch
Pymc3
⭐
5,696
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara
Gpflow
⭐
1,420
Gaussian processes in TensorFlow
Deepbayes 2018
⭐
1,023
Seminars DeepBayes Summer School 2018
Bayesian Neural Networks
⭐
932
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
Variational Autoencoder
⭐
817
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
Pytorch Bayesiancnn
⭐
810
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
Boltzmann Machines
⭐
772
Boltzmann Machines in TensorFlow with examples
Bayes Nn
⭐
444
Lecture notes on Bayesian deep learning
Awesome Vaes
⭐
438
A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
Probabilistic_unet
⭐
433
A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.
Probreg
⭐
321
Python package for point cloud registration using probabilistic model (Coherent Point Drift, GMMReg, SVR, GMMTree, FilterReg, Bayesian CPD)
Generative_models_tutorial_with_demo
⭐
282
Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..
Awesome Normalizing Flows
⭐
254
A list of awesome resources on normalizing flows.
Good Papers
⭐
248
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
Rethinking Numpyro
⭐
230
Statistical Rethinking (2nd ed.) with NumPyro
Probabilistic Models
⭐
218
Collection of probabilistic models and inference algorithms
Deep Generative Models For Natural Language Processing
⭐
211
DGMs for NLP. A roadmap.
Variational Ladder Autoencoder
⭐
197
Implementation of VLAE
Rethinking Tensorflow Probability
⭐
158
Statistical Rethinking (2nd Ed) with Tensorflow Probability
Variational Inference With Normalizing Flows
⭐
147
Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)
Celeste.jl
⭐
143
Scalable inference for a generative model of astronomical images
Tensorflow Mnist Cvae
⭐
140
Tensorflow implementation of conditional variational auto-encoder for MNIST
Vbmc
⭐
128
Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB
Normalizing Flows
⭐
126
Understanding normalizing flows
Bayes By Backprop
⭐
122
PyTorch implementation of "Weight Uncertainty in Neural Networks"
Bcpd
⭐
122
Bayesian Coherent Point Drift (BCPD/BCPD++); Source Code Available
Kvae
⭐
116
Kalman Variational Auto-Encoder
Gpstuff
⭐
107
GPstuff - Gaussian process models for Bayesian analysis
Mxfusion
⭐
95
Modular Probabilistic Programming on MXNet
Inverse_rl
⭐
81
Adversarial Imitation Via Variational Inverse Reinforcement Learning
Rnn Vae
⭐
40
Variational Autoencoder with Recurrent Neural Network based on Google DeepMind's "DRAW: A Recurrent Neural Network For Image Generation"
Gp Infer Net
⭐
37
Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019
Variational_gradient_matching_for_dynamical_systems
⭐
23
Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"
1-34 of 34 projects
Advertising
📦 10
All Projects
Application Programming Interfaces
📦 124
Applications
📦 192
Artificial Intelligence
📦 78
Blockchain
📦 73
Build Tools
📦 113
Cloud Computing
📦 80
Code Quality
📦 28
Collaboration
📦 32
Command Line Interface
📦 49
Community
📦 83
Companies
📦 60
Compilers
📦 63
Computer Science
📦 80
Configuration Management
📦 42
Content Management
📦 175
Control Flow
📦 213
Data Formats
📦 78
Data Processing
📦 276
Data Storage
📦 135
Economics
📦 64
Frameworks
📦 215
Games
📦 129
Graphics
📦 110
Hardware
📦 152
Integrated Development Environments
📦 49
Learning Resources
📦 166
Legal
📦 29
Libraries
📦 129
Lists Of Projects
📦 22
Machine Learning
📦 347
Mapping
📦 64
Marketing
📦 15
Mathematics
📦 55
Media
📦 239
Messaging
📦 98
Networking
📦 315
Operating Systems
📦 89
Operations
📦 121
Package Managers
📦 55
Programming Languages
📦 245
Runtime Environments
📦 100
Science
📦 42
Security
📦 396
Social Media
📦 27
Software Architecture
📦 72
Software Development
📦 72
Software Performance
📦 58
Software Quality
📦 133
Text Editors
📦 49
Text Processing
📦 136
User Interface
📦 330
User Interface Components
📦 514
Version Control
📦 30
Virtualization
📦 71
Web Browsers
📦 42
Web Servers
📦 26
Web User Interface
📦 210