Code for Randomly Projected Additive Gaussian Processes
☆25Jan 13, 2020Updated 6 years ago
Alternatives and similar repositories for Randomly-Projected-Additive-GPs
Users that are interested in Randomly-Projected-Additive-GPs are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Non-stationary spectral mixture kernels implemented in GPflow☆29Nov 30, 2018Updated 7 years ago
- Source for experiments in the Additive Gaussian process paper, as well as extensions relating to dropout.☆21Mar 10, 2014Updated 12 years ago
- (Theano) Implementations about deep neural network, recurrent neural network, LSTM, and structured learining.☆10Nov 9, 2016Updated 9 years ago
- Stochastic variational heteroscedastic Gaussian process☆15Mar 29, 2019Updated 7 years ago
- ☆11Jun 17, 2016Updated 9 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.
- The code for the paper: https://arxiv.org/pdf/1802.00168.pdf☆17Oct 2, 2019Updated 6 years ago
- Code for paper "Closing the Dequantization Gap: PixelCNN as a Single-Layer Flow"☆19Jul 7, 2020Updated 5 years ago
- ☆35Jul 6, 2020Updated 5 years ago
- ☆16Sep 27, 2024Updated last year
- ☆12Feb 7, 2017Updated 9 years ago
- Demonstration of Jackknife Variational Inference for Variational Autoencoders, related to ICLR 2018 paper.☆22Feb 21, 2018Updated 8 years ago
- nanoGPT using Equinox☆15Mar 3, 2023Updated 3 years ago
- A set of impulse response files used for convolution-based encoders and decoders☆15Feb 26, 2022Updated 4 years ago
- Online LDA using Hoffman's Python Implementation☆15Nov 14, 2014Updated 11 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Numpy compatible polynomial representation☆13Jan 2, 2026Updated 4 months ago
- Plugin for MadGraph5_aMC allowing for output Matrix Elements in a TensorFlow-friendly format☆11Feb 17, 2025Updated last year
- Code for "On the Expressiveness of Approximate Inference in Bayesian Neural Networks"☆13Aug 16, 2021Updated 4 years ago
- "Oblique Decision Trees from Derivatives of ReLU Networks" (ICLR 2020, previously called "Locally Constant Networks")☆21Apr 27, 2021Updated 5 years ago
- Implementaion of Gaussian Process Recurrent Neural Networks developed in "Neural Dynamics Discovery via Gaussian Process Recurrent Neura…☆40Dec 8, 2022Updated 3 years ago
- fun pluto notebooks☆17Aug 11, 2025Updated 9 months ago
- Dirichlet Process Mixture Model sampling-based inference algorithms☆14Apr 4, 2017Updated 9 years ago
- Shared-memory RelaxMap☆11Jul 8, 2022Updated 3 years ago
- Online learning of sparse dictionaries☆13Sep 19, 2017Updated 8 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- ☆11Apr 23, 2024Updated 2 years ago
- ☆14Jun 28, 2018Updated 7 years ago
- This is the package used to calculate the similarity index of the label graph pairs.☆13Nov 4, 2020Updated 5 years ago
- Jupyter Notebook corresponding to 'Going with the Flow: An Introduction to Normalizing Flows'☆27Apr 22, 2021Updated 5 years ago
- ☆150Mar 28, 2022Updated 4 years ago
- Bayesian deep convolutional encoder-decoder networks for surrogate modeling and uncertainty quantification☆109Aug 4, 2020Updated 5 years ago
- ☆12Jul 25, 2024Updated last year
- Code for Deep Structured Mixtures of Gaussian Processes (DSMGPs)☆11Jan 27, 2022Updated 4 years ago
- Gaussian processes in TensorFlow with modifications to allow inter-domain inducing variables☆13Aug 11, 2017Updated 8 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.
- Model Discrete Parameters In Stan☆11Dec 13, 2017Updated 8 years ago
- Released code for ICDM 2016 Budgeted Batch Bayesian Optimization☆10Feb 11, 2019Updated 7 years ago
- Dirichlet Process Mixture using PVI, SMC, Variational☆15Jun 20, 2014Updated 11 years ago
- Preconditioning Kernel Matrices☆15Jun 9, 2016Updated 9 years ago
- A toolbox for inference of switching systems for control☆11Aug 23, 2021Updated 4 years ago
- Exploring textual and social measures of distance between genres.☆16Feb 5, 2019Updated 7 years ago
- Infinite Gaussian Mixture Model / Variational EM☆12Nov 18, 2013Updated 12 years ago