Topic: bayesian-machine-learning Goto Github
Some thing interesting about bayesian-machine-learning
Some thing interesting about bayesian-machine-learning
bayesian-machine-learning,Python package for Bayesian Machine Learning with scikit-learn API
User: amazaspshumik
bayesian-machine-learning,Exercises on Bayesian linear regression, Gaussian Processes, Metropolis-Hastings Inference for Bayesian Logistic Regression, K-means and Probabilistic PCA. Made at Institut EURECOM (FR)
User: andreaghiglione
bayesian-machine-learning,This is a collection of algorithms and models written in Python for probabilistic programming. The main focus of the package is on Bayesian reasoning by using Bayesian networks, Markov networks, and their mixing.
User: ax-va
bayesian-machine-learning,Repo of udemy bayesian machine learning A/B test
User: ck-unifr
bayesian-machine-learning,The aim of this project is to apply Bayesian Machine Learning Algorithm to predict the diagnosis condition of the patients.
User: ehtashambillah
bayesian-machine-learning,Code for "A-NICE-MC: Adversarial Training for MCMC"
Organization: ermongroup
bayesian-machine-learning,A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation
Organization: gradientinstitute
bayesian-machine-learning,
User: ian-flores
bayesian-machine-learning,Assignment code for Bayesian ML course on Coursera
User: ishaanb92
bayesian-machine-learning,Exploration of TensorFlow-2 and TensorFlow probability to implement Bayesian Neural Networks, Normalizing flows, real NVPs and Autoencoders. Exploration of Bayesian Modelling and Variational Inference with Pyro.
User: itsayushthada
bayesian-machine-learning,This contains a number of IP[y]: Notebooks that hopefully give a light to areas of bayesian machine learning.
User: jkfitzsimons
bayesian-machine-learning,Efficient approximate Bayesian machine learning
User: jlparki
Home Page: https://xgpr.readthedocs.io/en/latest/
bayesian-machine-learning,Notebooks about Bayesian methods for machine learning
User: krasserm
bayesian-machine-learning,Numerical experiments to illustrate theoretical points of the article: A non-asymptotic analysis for stein variational gradient descent, Korba et al., 2021
User: matthieu-carreau
bayesian-machine-learning,Bayesian Machine Learning Project
User: o-ikne
bayesian-machine-learning,BayesianNonparametrics in julia
Organization: ofai
Home Page: http://ofai.at
bayesian-machine-learning,Platform for automatic processing of (aq-tngapms) Air Quality using TNGAPMS
User: rgualan
bayesian-machine-learning,
Organization: sbrml
bayesian-machine-learning,AI-enabled lithium carbonate production with integrated CO2 capture, boosting and optimizing sustainable Li-ion battery production.
User: shmouses
bayesian-machine-learning,Bayesian methods for machine learning course at CentraleSupélec
User: sleglaive
bayesian-machine-learning,Bayesian Actor-Critic with Neural Networks. Developing an OpenAI Gym toolkit for Bayesian AC reinforcement learning.
User: ssubhnil
bayesian-machine-learning,A Bayesian approach to predictive uncertainty in chemotherapy patients at risk of acute care utilization
User: su-boussard-lab
bayesian-machine-learning,Key words: Bayesian analysis, Probabilistic programming, Data analysis, Bayesian machine learning... Using Python with its library PyMC3, pandas...
User: vince-cv
bayesian-machine-learning,Bayesian Machine Learning
User: wataruhashimoto52
bayesian-machine-learning,This is a GitHub repository for our Bayeisan Machine Learning textbook, which includes the PDF for the book and accompanying Python notebooks.
User: wbasener
bayesian-machine-learning,Library for Bayesian machine learning
User: yuta-nakahara
Home Page: https://yuta-nakahara.github.io/BayesML/
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
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Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
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We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
China tencent open source team.