A library of scalable Bayesian generalised linear models with fancy features
☆60Sep 7, 2017Updated 8 years ago
Alternatives and similar repositories for revrand
Users that are interested in revrand are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Python implementation for Variational Bayesian Learning☆13Jan 23, 2014Updated 12 years ago
- Systemic Infrastructure Resilience Analysis☆13Jun 24, 2026Updated last week
- Large-scale spatial inference with Tensorflow.☆11Sep 2, 2021Updated 4 years ago
- Code for AutoGP☆27Jul 19, 2019Updated 6 years ago
- Machine Learning system for Geoscience Australia uncover project☆33Jun 23, 2026Updated last week
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation☆129Jul 27, 2021Updated 4 years ago
- Code for doubly stochastic gradients☆26Oct 21, 2014Updated 11 years ago
- Python code to help read ASEG GDF2 packages☆11Feb 17, 2026Updated 4 months ago
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Jan 4, 2020Updated 6 years ago
- Online LDA using Hoffman's Python Implementation☆15Nov 14, 2014Updated 11 years ago
- Reducing Reparameterization Gradient Variance code.☆33Jun 5, 2017Updated 9 years ago
- A simple script to generate a blogroll (or OSR blogs)☆11May 5, 2026Updated 2 months ago
- The Penalized Linear Dynamical System Project☆18Nov 5, 2016Updated 9 years ago
- A collection of ESRI ArcGIS tools to perform GIS-based mineral (Nickel) prospectivity analysis.☆14Jul 30, 2020Updated 5 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Rudi, A., Camoriano, R. and Rosasco, L., Less is more: Nyström computational regularization. In Advances in Neural Information Processing…☆13Sep 17, 2019Updated 6 years ago
- Matlab Code for Variational Gaussian Copula Inference☆18Mar 15, 2016Updated 10 years ago
- Dirichlet Process Mixture using PVI, SMC, Variational☆15Jun 20, 2014Updated 12 years ago
- Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models.☆44Feb 6, 2014Updated 12 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆29Nov 30, 2018Updated 7 years ago
- A Python package for Approximate Bayesian Computation☆38Jun 22, 2016Updated 10 years ago
- Word embeddings for application in geosciences: development, evaluation and examples of soil-related concepts☆14Jul 30, 2020Updated 5 years ago
- Library of common tools for machine learning research.☆41Nov 20, 2017Updated 8 years ago
- ☆40Apr 29, 2019Updated 7 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- A Julia implementation of the Paillier partially homomorphic encryption system☆13Oct 8, 2020Updated 5 years ago
- Contains code for training NLP models that takes in text and predicts concepts & keywords from a list of standardized NASA keywords. Code…☆22Dec 8, 2022Updated 3 years ago
- Contains code for the API that takes in text and predicts concepts & keywords from a list of standardized NASA keywords. API is for expo…☆20Oct 25, 2024Updated last year
- Deep learning for multispectral imaging☆14Dec 24, 2014Updated 11 years ago
- Categorical Latent Gaussian Process☆16Mar 7, 2015Updated 11 years ago
- Penalized least squares estimation using the Orthogonalizing EM (OEM) algorithm☆27Aug 8, 2024Updated last year
- Approximate Bayesian Computation in python☆11Feb 19, 2015Updated 11 years ago
- Implementation of an algorithm for Markov chain Monte Carlo with data subsampling☆32Apr 27, 2016Updated 10 years ago
- TBEEF, a doubly ensemble framework for recommendation and prediction problems.☆20Apr 16, 2016Updated 10 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Sample program to model the data by (normal) linear regression and Bayesian lineaer regression.☆11Nov 24, 2014Updated 11 years ago
- Code for "Zero-Shot Out-of-Distribution Detection with Feature Correlations"☆13Jan 19, 2020Updated 6 years ago
- Python library for Recurrent Gaussian Processes☆22Oct 20, 2017Updated 8 years ago
- Code for Augment & Reduce, a scalable stochastic algorithm for large categorical distributions☆10May 16, 2018Updated 8 years ago
- A Limited-Memory Quasi-Newton Algorithm for Bound-Constrained Nonsmooth Optimization☆13Dec 23, 2016Updated 9 years ago
- ☆12Aug 29, 2015Updated 10 years ago
- A collection of GSQ's vocabularies, formulated using SKOS, serialised as RDF (turtle) files.☆17Jun 18, 2026Updated 2 weeks ago