Pytorch version of "Deep Convolutional Networks as shallow Gaussian Processes" by Adrià Garriga-Alonso, Carl Rasmussen and Laurence Aitchison
☆32Apr 16, 2020Updated 6 years ago
Alternatives and similar repositories for cnn-gp
Users that are interested in cnn-gp are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- UAI paper 'Expressive Priors in Bayesian Neural Networks: Kernel Combinations and Periodic Functions'☆11Jun 26, 2019Updated 7 years ago
- Energy Based Models are a quite novel technique for density estimation. In this university project I explore this new research topic and …☆16Jul 6, 2021Updated 5 years ago
- A PyTorch Implementation of Convolutional Conditional Neural Process.☆54Jan 1, 2020Updated 6 years ago
- PyTorch implementations of the beta divergence loss.☆11Jan 31, 2022Updated 4 years ago
- Successfully training approximations to full-rank matrices for efficiency in deep learning.☆16Jan 5, 2021Updated 5 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.
- Compressed version of Tacotron 2 using Tensor Train + Waveglow.☆22Dec 26, 2019Updated 6 years ago
- Prediction Intervals: Split Normal Mixture from Quality-Driven Deep Ensembles. Published at Uncertainty in AI (UAI) 2020.☆11Aug 31, 2020Updated 5 years ago
- ☆10Mar 8, 2019Updated 7 years ago
- Implementations of the ICML 2017 paper (with Yarin Gal)☆39Dec 15, 2017Updated 8 years ago
- ☆17May 28, 2018Updated 8 years ago
- This repository provides code source used in the paper: A Mean Field Theory of Quantized Deep Networks: The Quantization-Depth Trade-Off☆13May 30, 2019Updated 7 years ago
- Materiales del taller de Meta Aprendizaje de la RIIAA 2020.☆13Aug 26, 2020Updated 5 years ago
- ☆28Jul 28, 2023Updated 3 years ago
- Estimation of the confidence measure for anomaly detectors, as explained in the paper "Quantifying the Confidence of Anomaly Detectors in…☆12Nov 17, 2021Updated 4 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆34May 11, 2023Updated 3 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆42Nov 29, 2022Updated 3 years ago
- Reproducing the paper "The continuous Bernoulli: fixing a pervasive error in variational autoencoders" for the Reproducibility Challenge …☆12Jul 25, 2024Updated 2 years ago
- ☆36Oct 20, 2020Updated 5 years ago
- Implementation of the Functional Neural Process models☆42Jul 17, 2020Updated 6 years ago
- Code for "DeepPolar codes", ICML 2024☆12May 7, 2024Updated 2 years ago
- Lab session of the course generative modeling☆16Mar 13, 2023Updated 3 years ago
- ☆13Mar 16, 2019Updated 7 years ago
- Parametric Gaussian Process Regression for Big Data☆47Feb 20, 2020Updated 6 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.
- Implementation of the Convolutional Conditional Neural Process☆130May 17, 2021Updated 5 years ago
- Pytorch implementation of VAEs for heterogeneous likelihoods.☆43Nov 13, 2022Updated 3 years ago
- Gamepad API Content Kit☆14Jun 1, 2016Updated 10 years ago
- [ICML 2022] Learning Efficient and Robust Ordinary Differential \\ Equations via Invertible Neural Networks☆11Apr 14, 2023Updated 3 years ago
- Source code of "Point Set Voting for Partial Point Clouds Analysis"☆15Jan 5, 2021Updated 5 years ago
- The Mondrian kernel is a random feature approximation to the Laplace kernel allowing fast kernel width selection.☆12Jul 21, 2016Updated 10 years ago
- python experiment management toolset☆16Sep 23, 2019Updated 6 years ago
- Meta-learning Gaussian process (GP) priors via PAC-Bayes bounds☆26Jan 25, 2024Updated 2 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆104Oct 10, 2018Updated 7 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.
- truncated Gaussian-Mixture Variational AutoEncoder☆11Mar 14, 2019Updated 7 years ago
- Repository that defines a cairo struct called ratio that represents a rational number, x/y where x and y are in z mod p. Defines several …☆15Jul 18, 2022Updated 4 years ago
- Implementation of NAACL'19 Strong and Simple Baselines for Multimodal Utterance Embeddings☆10Jun 4, 2019Updated 7 years ago
- Awesome Quantization Paper lists with Codes☆10Feb 24, 2021Updated 5 years ago
- This repo contains code for GeoMLE intrinsic dimension estimation algorithm☆21Jul 10, 2020Updated 6 years ago
- Neural Arithmetic Logic Units by Trask et al.☆12Apr 10, 2019Updated 7 years ago
- Model Discrete Parameters In Stan☆11Dec 13, 2017Updated 8 years ago