GPflow
vbmc
| GPflow | vbmc | |
|---|---|---|
| 1 | 2 | |
| 1,799 | 211 | |
| 0.4% | 1.9% | |
| 5.8 | 2.8 | |
| 7 days ago | about 1 year ago | |
| Python | MATLAB | |
| Apache License 2.0 | BSD 3-clause "New" or "Revised" License |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
GPflow
vbmc
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[R] New open-source Python software for sample-efficient Bayesian inference
Relevant papers about the underlying algorithm were published at NeurIPS in 2018 and 2020, but this is the first Python implementation (there was a MATLAB implementation); the port took us a while but it can finally be used for machine learning purposes
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New Python open-source software for sample-efficient Bayesian inference
The MATLAB implementation has been around for a while, and other research groups have applied it among other things for Bayesian parameter inference in:
What are some alternatives?
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awesome-normalizing-flows - Awesome resources on normalizing flows.
mosec - A high-performance ML model serving framework, offers dynamic batching and CPU/GPU pipelines to fully exploit your compute machine
pyro - Deep universal probabilistic programming with Python and PyTorch
deeplake - Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai
PRMLT - Matlab code of machine learning algorithms in book PRML
PILCO - Bayesian Reinforcement Learning in Tensorflow
MATLAB-Guide - MATLAB Guide
Point-Processes - This repository contains the material (datasets, code, videos, spreadsheets) related to my book Stochastic Processes and Simulations - A Machine Learning Perspective.
FraudDetection - Accounting Fraud Detection Using Machine Learning
uq-vae - Solving Bayesian Inverse Problems via Variational Autoencoders
vbmc - Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB (old location)