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The Top 23 Jupyter Notebook Variational Inference Open Source Projects

Open source projects categorized as Jupyter Notebook Variational Inference
Categories > Data Processing > Jupyter Notebook
Categories > Machine Learning > Variational Inference
Edward ⭐ 4,503
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
dependent packages 1total releases 28most recent commit 4 years agopypi Edward} Downloads
Bayesian Neural Networks ⭐ 1,633
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
most recent commit 6 months ago
Bayesian Machine Learning ⭐ 1,587
Notebooks about Bayesian methods for machine learning
most recent commit a year ago
Boltzmann Machines ⭐ 792
Boltzmann Machines in TensorFlow with examples
most recent commit 2 years ago
Probabilistic_unet ⭐ 400
A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.
most recent commit 4 years ago
Rethinking Numpyro ⭐ 385
Statistical Rethinking (2nd ed.) with NumPyro
most recent commit 10 months ago
Generative_models_tutorial_with_demo ⭐ 268
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..
most recent commit 5 years ago
Rethinking Tensorflow Probability ⭐ 207
Statistical Rethinking (2nd Ed) with Tensorflow Probability
most recent commit 2 years ago
Celeste.jl ⭐ 124
Scalable inference for a generative model of astronomical images
most recent commit 4 years ago
Normalizing Flows ⭐ 108
Understanding normalizing flows
most recent commit 4 years ago
Ml Readings ⭐ 94
A list of papers / videos / tutorials / blog posts on machine learning
most recent commit 2 years ago
Probai 2019 ⭐ 89
Materials of the Nordic Probabilistic AI School 2019.
most recent commit 4 years ago
Sqair ⭐ 89
Implementation of Sequential Attend, Infer, Repeat (SQAIR)
most recent commit 5 years ago
Bayesbyhypernet ⭐ 55
Code for the paper Implicit Weight Uncertainty in Neural Networks
most recent commit 4 years ago
Dun ⭐ 52
Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)
most recent commit 3 years ago
Move ⭐ 44
MOVE (Multi-Omics Variational autoEncoder) for integrating multi-omics data and identifying cross modal associations
total releases 21most recent commit 3 months ago
Probai 2021 Pyro ⭐ 42
Repo for the Tutorials of Day1-Day3 of the Nordic Probabilistic AI School 2021 (https://probabilistic.ai/)
most recent commit 2 years ago
Vindsl.jl ⭐ 32
A fast and furious domain-specific language for variational inference in Julia.
most recent commit 7 years ago
Ima Vae ⭐ 19
This is the code for the paper Embrace the Gap: VAEs perform Independent Mechanism Analysis, showing that optimizing the ELBO is equivalent to optimizing the IMA-regularized log-likelihood under certain assumptions (e.g., small decoder variance).
most recent commit 10 months ago
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.
most recent commit 3 months ago
Variational_gradient_matching_for_dynamical_systems ⭐ 18
Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"
most recent commit 5 years ago
Nvil_example ⭐ 17
Reference implementation of the NVIL algorithm for a simple Gaussian Mixture Model
most recent commit 7 years ago
Variationalautoencoders ⭐ 17
Comparison of Variational Autoencoders with Bayesian Neural Networks. Accuracy, Latent space, Reconstruction and White Noise filtering.
most recent commit 6 years ago
The 3 Latest Releases In Jupyter Notebook Variational Inference Open Source Projects
Torchtree ⭐ 7
A probabilistic framework in PyTorch for phylogenetic models
total releases 5latest release September 02, 2022most recent commit 4 months ago
Edward ⭐ 4,503
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
dependent packages 1total releases 28latest release January 22, 2018most recent commit 4 years agopypi Edward} Downloads
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