All Projects → VINF → Similar Projects or Alternatives

69 Open source projects that are alternatives of or similar to VINF

Gp Infer Net
Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019
Stars: ✭ 37 (+60.87%)
Mutual labels:  variational-inference
Bayes Nn
Lecture notes on Bayesian deep learning
Stars: ✭ 444 (+1830.43%)
Mutual labels:  variational-inference
Deep Generative Models For Natural Language Processing
DGMs for NLP. A roadmap.
Stars: ✭ 185 (+704.35%)
Mutual labels:  variational-inference
Mxfusion
Modular Probabilistic Programming on MXNet
Stars: ✭ 95 (+313.04%)
Mutual labels:  variational-inference
lagvae
Lagrangian VAE
Stars: ✭ 27 (+17.39%)
Mutual labels:  variational-inference
Rethinking Numpyro
Statistical Rethinking (2nd ed.) with NumPyro
Stars: ✭ 225 (+878.26%)
Mutual labels:  variational-inference
Variational Autoencoder
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
Stars: ✭ 807 (+3408.7%)
Mutual labels:  variational-inference
actuar
Actuarial functions and heavy tailed distributions for R
Stars: ✭ 19 (-17.39%)
Mutual labels:  distributions
Generative models tutorial with demo
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..
Stars: ✭ 276 (+1100%)
Mutual labels:  variational-inference
Tensorflow Mnist Cvae
Tensorflow implementation of conditional variational auto-encoder for MNIST
Stars: ✭ 139 (+504.35%)
Mutual labels:  variational-inference
Gpstuff
GPstuff - Gaussian process models for Bayesian analysis
Stars: ✭ 106 (+360.87%)
Mutual labels:  variational-inference
sqair
Implementation of Sequential Attend, Infer, Repeat (SQAIR)
Stars: ✭ 96 (+317.39%)
Mutual labels:  variational-inference
boundary-gp
Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features
Stars: ✭ 21 (-8.7%)
Mutual labels:  variational-inference
Deepbayes 2018
Seminars DeepBayes Summer School 2018
Stars: ✭ 1,021 (+4339.13%)
Mutual labels:  variational-inference
AI Learning Hub
AI Learning Hub for Machine Learning, Deep Learning, Computer Vision and Statistics
Stars: ✭ 53 (+130.43%)
Mutual labels:  variational-inference
Variational gradient matching for dynamical systems
Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"
Stars: ✭ 22 (-4.35%)
Mutual labels:  variational-inference
Awesome Normalizing Flows
A list of awesome resources on normalizing flows.
Stars: ✭ 203 (+782.61%)
Mutual labels:  variational-inference
Boltzmann Machines
Boltzmann Machines in TensorFlow with examples
Stars: ✭ 768 (+3239.13%)
Mutual labels:  variational-inference
PyLDA
A Latent Dirichlet Allocation implementation in Python.
Stars: ✭ 51 (+121.74%)
Mutual labels:  variational-inference
Awesome Vaes
A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
Stars: ✭ 418 (+1717.39%)
Mutual labels:  variational-inference
Variational Inference With Normalizing Flows
Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)
Stars: ✭ 146 (+534.78%)
Mutual labels:  variational-inference
viabel
Efficient, lightweight variational inference and approximation bounds
Stars: ✭ 27 (+17.39%)
Mutual labels:  variational-inference
vireo
Demultiplexing pooled scRNA-seq data with or without genotype reference
Stars: ✭ 34 (+47.83%)
Mutual labels:  variational-inference
cmdstanr
CmdStanR: the R interface to CmdStan
Stars: ✭ 82 (+256.52%)
Mutual labels:  variational-inference
Vbmc
Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB
Stars: ✭ 123 (+434.78%)
Mutual labels:  variational-inference
Kvae
Kalman Variational Auto-Encoder
Stars: ✭ 115 (+400%)
Mutual labels:  variational-inference
gradient-boosted-normalizing-flows
We got a stew going!
Stars: ✭ 20 (-13.04%)
Mutual labels:  variational-inference
SIVI
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)
Stars: ✭ 49 (+113.04%)
Mutual labels:  variational-inference
Gpflow
Gaussian processes in TensorFlow
Stars: ✭ 1,547 (+6626.09%)
Mutual labels:  variational-inference
rss
Regression with Summary Statistics.
Stars: ✭ 42 (+82.61%)
Mutual labels:  variational-inference
Inverse rl
Adversarial Imitation Via Variational Inverse Reinforcement Learning
Stars: ✭ 79 (+243.48%)
Mutual labels:  variational-inference
Good Papers
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
Stars: ✭ 248 (+978.26%)
Mutual labels:  variational-inference
Rnn Vae
Variational Autoencoder with Recurrent Neural Network based on Google DeepMind's "DRAW: A Recurrent Neural Network For Image Generation"
Stars: ✭ 39 (+69.57%)
Mutual labels:  variational-inference
active-inference
A toy model of Friston's active inference in Tensorflow
Stars: ✭ 36 (+56.52%)
Mutual labels:  variational-inference
Pyro
Deep universal probabilistic programming with Python and PyTorch
Stars: ✭ 7,224 (+31308.7%)
Mutual labels:  variational-inference
Probabilistic Models
Collection of probabilistic models and inference algorithms
Stars: ✭ 217 (+843.48%)
Mutual labels:  variational-inference
Bayesian Neural Networks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
Stars: ✭ 900 (+3813.04%)
Mutual labels:  variational-inference
DUN
Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)
Stars: ✭ 65 (+182.61%)
Mutual labels:  variational-inference
Pytorch Bayesiancnn
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
Stars: ✭ 779 (+3286.96%)
Mutual labels:  variational-inference
Variational Ladder Autoencoder
Implementation of VLAE
Stars: ✭ 196 (+752.17%)
Mutual labels:  variational-inference
Pymc3
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara
Stars: ✭ 6,214 (+26917.39%)
Mutual labels:  variational-inference
BayesByHypernet
Code for the paper Implicit Weight Uncertainty in Neural Networks
Stars: ✭ 63 (+173.91%)
Mutual labels:  variational-inference
Probabilistic unet
A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.
Stars: ✭ 427 (+1756.52%)
Mutual labels:  variational-inference
Rethinking Tensorflow Probability
Statistical Rethinking (2nd Ed) with Tensorflow Probability
Stars: ✭ 152 (+560.87%)
Mutual labels:  variational-inference
Probreg
Python package for point cloud registration using probabilistic model (Coherent Point Drift, GMMReg, SVR, GMMTree, FilterReg, Bayesian CPD)
Stars: ✭ 306 (+1230.43%)
Mutual labels:  variational-inference
ccube
Bayesian mixture models for estimating and clustering cancer cell fractions
Stars: ✭ 23 (+0%)
Mutual labels:  variational-inference
autoreparam
Automatic Reparameterisation of Probabilistic Programs
Stars: ✭ 29 (+26.09%)
Mutual labels:  variational-inference
Celeste.jl
Scalable inference for a generative model of astronomical images
Stars: ✭ 142 (+517.39%)
Mutual labels:  variational-inference
ladder-vae-pytorch
Ladder Variational Autoencoders (LVAE) in PyTorch
Stars: ✭ 59 (+156.52%)
Mutual labels:  variational-inference
adaptive-f-divergence
A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"
Stars: ✭ 20 (-13.04%)
Mutual labels:  variational-inference
CIKM18-LCVA
Code for CIKM'18 paper, Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects.
Stars: ✭ 13 (-43.48%)
Mutual labels:  variational-inference
Normalizing Flows
Understanding normalizing flows
Stars: ✭ 126 (+447.83%)
Mutual labels:  variational-inference
Generalized-PixelVAE
PixelVAE with or without regularization
Stars: ✭ 64 (+178.26%)
Mutual labels:  variational-inference
stan-distributions
A web app to visualize distributions in Stan. Uses Stan Math C++ compiled to Webassembly to evaluate the functions using actual Stan implementations. Uses d3.js for visualizations.
Stars: ✭ 30 (+30.43%)
Mutual labels:  distributions
Bayes By Backprop
PyTorch implementation of "Weight Uncertainty in Neural Networks"
Stars: ✭ 119 (+417.39%)
Mutual labels:  variational-inference
stanTuneR
This code uses the algebra solver in Stan (https://mc-stan.org/) to find the parameters of a distribution that produce a desired tail behavior.
Stars: ✭ 28 (+21.74%)
Mutual labels:  distributions
ReactiveMP.jl
Julia package for automatic Bayesian inference on a factor graph with reactive message passing
Stars: ✭ 58 (+152.17%)
Mutual labels:  variational-inference
SelSum
Abstractive opinion summarization system (SelSum) and the largest dataset of Amazon product summaries (AmaSum). EMNLP 2021 conference paper.
Stars: ✭ 36 (+56.52%)
Mutual labels:  variational-inference
normalizing-flows
PyTorch implementation of normalizing flow models
Stars: ✭ 271 (+1078.26%)
Mutual labels:  variational-inference
Bcpd
Bayesian Coherent Point Drift (BCPD/BCPD++); Source Code Available
Stars: ✭ 116 (+404.35%)
Mutual labels:  variational-inference
1-60 of 69 similar projects