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48 search results found

Bayesgan ⭐ 1,002

Tensorflow code for the Bayesian GAN (https://arxiv.org/abs/1705.09558) (NIPS 2017)

A Comparative Framework for Multimodal Recommender Systems

Awesome Starcraftai ⭐ 579

A curated list of resources dedicated to StarCraft AI.

Dropoutuncertaintyexps ⭐ 411

Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"

Code for the paper "Curiosity-driven Exploration in Deep Reinforcement Learning via Bayesian Neural Networks"

Icml2015_papers ⭐ 143

Links to ICML 2015 papers available on arxiv

Hypermapper ⭐ 142

Black-box Optimizer based on Bayesian Optimization

Bayesian neural network package

Bayesian optimization in high-dimensions via random embedding.

Paper Reading ⭐ 64

Tutorial ⭐ 63

Tutorial on Bayesian tests for Machine Learning

Bayesian Surprise ⭐ 52

Bayesian Weighting for De-Biasing Thematic Maps

Code for replicating results in our EDM2016 paper

Bayes Vis Paper ⭐ 49

'Visualization in Bayesian workflow' by Gabry, Simpson, Vehtari, Betancourt, and Gelman. (JRSS discussion paper and code)

Variational Graph Auto Encoders ⭐ 41

This is the implementation of paper 'Variational Graph Auto-Encoder' in NIPS Workshop on Bayesian Deep Learning, 2016.

Dropout_bbalpha ⭐ 41

Implementations of the ICML 2017 paper (with Yarin Gal)

This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.

Bayesian_rnn ⭐ 25

The code for the ACL 2017 paper "Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling"

Bayesian Compression For Deep Learning ⭐ 23

Remplementation of paper https://arxiv.org/abs/1705.08665

Code and data for the paper `Bayesian Semi-supervised Learning with Graph Gaussian Processes'

Bayesian Extinction And Stellar Tool

Neuralecology ⭐ 20

Code for the paper "Neural hierarchical models of ecological populations"

Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization

Bayesiansvm ⭐ 16

Source code of the Bayesian SVM described in the paper by Wenzel et al. "Bayesian Nonlinear Support Vector Machines for Big Data"

Bayesianrnn ⭐ 16

Reproducing the results of the paper "Bayesian Recurrent Neural Networks" by Fortunato et al.

Bayesian Ntk ⭐ 13

Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'

Ursabench ⭐ 12

Codebase for our paper "URSABench: Comprehensive Benchmarking of Approximate Bayesian Inference Methods for Deep Neural Networks"

Bpr Pytorch ⭐ 12

A pytorch implementation for BPR (Bayesian Personalized Ranking).

Stackelbergequilibribumsolvers ⭐ 12

Solves a Mixed Integer Linear Program to generate the Stacklberg Equilibrium of a General-sum (+Bayesian) Games.

Bmaml_rl ⭐ 12

This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.

Rnr_framework_for_recommendation ⭐ 12

The detialed codes written in Matlab R2015b version in paper "RNR: A Generic Bayesian-based Framework for Enhancing Top-N Recommender Systems "

Herding Paper ⭐ 11

Optimally-weighted herding is Bayesian Quadrature

Statisticalguarenteesforbnns ⭐ 10

Repository containing code for getting statistical guarantees on properties of BNNs

Manifold Mcmc For Diffusions ⭐ 10

Code accompanying the paper 'Manifold MCMC methods for Bayesian inference in a wide class of diffusion models'

Awesome Bayes Nets ⭐ 9

⚗️ A curated list of Books, Research Papers, and Software for Bayesian Networks.

Mcmc Estimation Of Stochastic Differential Equations Papers ⭐ 8

A list (quite disorganized for now) of papers tackling the Bayesian estimation of Ito processes (and their discrete time version)

Perform bayesian distribution regression

Automl Resources ⭐ 8

A list of resources, papers, and articles on AutoML, Automatic Hyperparameter Tuning, and Neural Architecture Search.

Bayesian2afc ⭐ 8

Vincent, B. T. (2015) A tutorial on Bayesian models of Perception, Journal of Mathematical Psychology.

Noisyinputentropysearch ⭐ 8

This is the companion code for the paper Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization by Lukas P. Fröhlich et al., AISTATS 2020

Variational Reformulation Of Inverse Problems ⭐ 8

Code accompanying the paper: Variational Reformulation of Bayesian Inverse Problems, by. Tsilifis P., Bilionis I., Katsounaros I. and Zabaras N.

Pku Computational Neuroscience Journal Club ⭐ 7

Computational Neuroscience Journal Club in PKU

Bgk_traversability_mapping ⭐ 7

Bayesgarch ⭐ 7

Bayesian Estimation of the GARCH(1,1) Model with Student-t Innovations

Ai Paper References ⭐ 7

References for read papers + relevant links

Bayesiandeeplearning ⭐ 6

Overview of Bayesian Deep Learning

Languageacquisition Readinglist ⭐ 6

A list of papers that you should probably read before you try to create artificial agents that can learn a language or a concept.

Pac Bayesian Theory Meets Bayesian Inference ⭐ 6

Code to related to my NIPS 2016 paper

Pens And Abc ⭐ 5

Code for the paper "Partially Exchangeable Networks and Architectures for Learning Summary Statistics in Approximate Bayesian Computation"

Detectioncausalrelationshipstimeseries ⭐ 5

Code for paper "A method for detecting causal relationships between industrial alarm variables using Transfer entropy and K2-Algorithm"

Confidence ⭐ 5

Use experiments, modeling, and simulation to determine if perceptual confidence emerges from Bayesian or heuristic computations. 🧠

Greenscreenmatting ⭐ 5

This is an implementation of Green Screen Matting.

Identifyshifts ⭐ 5

The official implementation of the SIGIR'18 paper "Identify Shifts of Word Semantics through Bayesian Surprise"

Codes for the ICML 2019 paper "Bayesian Joint Spike-and-Slab Graphical Lasso"

3dpixelcnn ⭐ 5

code for Bayesian 3DPixelCN

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