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The Top 23 Neural Network Bayesian Inference Open Source Projects

Open source projects categorized as Neural Network Bayesian Inference
Categories > Machine Learning > Bayesian Inference
Categories > Machine Learning > Neural Network
Numpy Ml ⭐ 14,162
Machine learning, in numpy
total releases 3most recent commit 6 months ago
Neural Tangents ⭐ 2,149
Fast and Easy Infinite Neural Networks in Python
dependent packages 1total releases 30most recent commit 4 months agopypi neural-tangents} Downloads
Fortuna ⭐ 824
A Library for Uncertainty Quantification.
most recent commit 3 months ago
Bayesian Analysis Recipes ⭐ 510
A collection of Bayesian data analysis recipes using PyMC3
most recent commit 2 years ago
Bayesflow ⭐ 216
A Python library for amortized Bayesian workflows using generative neural networks.
total releases 4most recent commit 3 months ago
Bayesianrecurrentnn ⭐ 196
Implementation of Bayesian Recurrent Neural Networks by Fortunato et. al
most recent commit 5 years ago
Probabilistic Backpropagation ⭐ 159
Implementation in C and Theano of the method Probabilistic Backpropagation for scalable Bayesian inference in deep neural networks.
most recent commit 5 years ago
Invertiblenetworks.jl ⭐ 131
A Julia framework for invertible neural networks
most recent commit 5 months ago
A Nice Mc ⭐ 125
Code for "A-NICE-MC: Adversarial Training for MCMC"
most recent commit 6 years ago
Gelato ⭐ 85
Bayesian dessert for Lasagne
most recent commit 7 years ago
Aorun ⭐ 60
Deep Learning over PyTorch
total releases 1most recent commit 7 years ago
Delfi ⭐ 57
Density estimation likelihood-free inference
total releases 29most recent commit 4 years ago
Ncp ⭐ 56
Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors
most recent commit 4 years ago
Fbnn ⭐ 53
Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)
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
Probqa ⭐ 46
Probabilistic question-asking system: the program asks, the users answer. The minimal goal of the program is to identify what the user needs (a target), even if the user is not aware of the existence of such a thing/product/service.
most recent commit 2 years ago
Artificial_neural_networks ⭐ 35
A collection of Methods and Models for various architectures of Artificial Neural Networks
most recent commit 4 years ago
Bnn ⭐ 34
Bayesian Neural Network in PyTorch
most recent commit 5 years ago
Pyhgf ⭐ 27
PyHGF: A graph neural network library for predictive coding
most recent commit 3 months ago
Noisy K Fac ⭐ 20
Natural Gradient, Variational Inference
most recent commit 4 years ago
Quantised Bayesian Nets ⭐ 16
On the Effects of Quantisation on Model Uncertainty in Bayesian Neural Networks
most recent commit 6 months ago
19 Questions ⭐ 15
A machine learning / bayesian inference engine assigning attributes to objects
most recent commit 2 years ago
Artificial_curiosity ⭐ 12
Adaptive Reinforcement Learning of curious AI basketball agents
most recent commit 6 years ago
The 5 Latest Releases In Neural Network Bayesian Inference Open Source Projects
Bayesflow ⭐ 216
A Python library for amortized Bayesian workflows using generative neural networks.
total releases 4latest release September 12, 2023most recent commit 3 months ago
Neural Tangents ⭐ 2,149
Fast and Easy Infinite Neural Networks in Python
dependent packages 1total releases 30latest release August 24, 2023most recent commit 4 months agopypi neural-tangents} Downloads
Numpy Ml ⭐ 14,162
Machine learning, in numpy
total releases 3latest release June 20, 2020most recent commit 6 months ago
Delfi ⭐ 57
Density estimation likelihood-free inference
total releases 29latest release November 05, 2018most recent commit 4 years ago
Aorun ⭐ 60
Deep Learning over PyTorch
total releases 1latest release March 25, 2017most recent commit 7 years ago
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