683 skills found · Page 1 of 23
huawei-noah / HEBOBayesian optimisation & Reinforcement Learning library developed by Huawei Noah's Ark Lab
thu-ml / ZhusuanA probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow
krasserm / Bayesian Machine LearningNotebooks about Bayesian methods for machine learning
JasperSnoek / SpearmintSpearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012
piEsposito / Blitz Bayesian Deep LearningA simple and extensible library to create Bayesian Neural Network layers on PyTorch.
brendenlake / BPLBayesian Program Learning model for one-shot learning
baal-org / BaalBayesian active learning library for research and industrial usecases.
shubhomoydas / Ad ExamplesA collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.
mbeyeler / Opencv Machine LearningM. Beyeler (2017). Machine Learning for OpenCV: Intelligent image processing with Python. Packt Publishing Ltd., ISBN 978-178398028-4.
lindermanlab / SsmBayesian learning and inference for state space models
OATML / Bdl BenchmarksBayesian Deep Learning Benchmarks
bayesflow-org / BayesflowA Python library for efficient Bayesian modeling with deep learning
WillKoehrsen / Hyperparameter OptimizationImplementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms
erdogant / BnlearnPython package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inferences, Sampling methods.
yaringal / DropoutUncertaintyExpsExperiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"
Western-OC2-Lab / Intrusion Detection System Using Machine LearningCode for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)
AmazaspShumik / Sklearn BayesPython package for Bayesian Machine Learning with scikit-learn API
js05212 / BayesianDeepLearning SurveyBayesian Deep Learning: A Survey
kyle-dorman / Bayesian Neural Network BlogpostBuilding a Bayesian deep learning classifier
sjchoi86 / Bayes NnLecture notes on Bayesian deep learning
