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6 search results found

Numpy Ml ⭐ 14,162

Machine learning, in numpy

Neural Tangents ⭐ 2,149

Fast and Easy Infinite Neural Networks in Python

Fortuna ⭐ 824

A Library for Uncertainty Quantification.

Bayesian Analysis Recipes ⭐ 510

A collection of Bayesian data analysis recipes using PyMC3

Bayesflow ⭐ 216

A Python library for amortized Bayesian workflows using generative neural networks.

Bayesianrecurrentnn ⭐ 196

Implementation of Bayesian Recurrent Neural Networks by Fortunato et. al

Probabilistic Backpropagation ⭐ 159

Implementation in C and Theano of the method Probabilistic Backpropagation for scalable Bayesian inference in deep neural networks.

Invertiblenetworks.jl ⭐ 131

A Julia framework for invertible neural networks

A Nice Mc ⭐ 125

Code for "A-NICE-MC: Adversarial Training for MCMC"

Bayesian dessert for Lasagne

Deep Learning over PyTorch

Density estimation likelihood-free inference

Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors

Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)

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

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.

Artificial_neural_networks ⭐ 35

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

Bayesian Neural Network in PyTorch

PyHGF: A graph neural network library for predictive coding

Noisy K Fac ⭐ 20

Natural Gradient, Variational Inference

Quantised Bayesian Nets ⭐ 16

On the Effects of Quantisation on Model Uncertainty in Bayesian Neural Networks

19 Questions ⭐ 15

A machine learning / bayesian inference engine assigning attributes to objects

Artificial_curiosity ⭐ 12

Adaptive Reinforcement Learning of curious AI basketball agents

Robustbnns ⭐ 12

Code for paper "Robustness of Bayesian Neural Networks to Gradient-Based Attacks"

Deep_learning_onboarding ⭐ 8

List of resources for deep learning

Some collection of codes that are used in data mining and data science related fields, developed by me

Kosmo Kompress ⭐ 5

Code for leveraging Information Maximising Neural Networks for optimal cosmological field compression and Bayesian inference for cosmological parameters

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