A PyTorch Implementation of Convolutional Conditional Neural Process.
☆54Jan 1, 2020Updated 6 years ago
Alternatives and similar repositories for pytorch-convcnp
Users that are interested in pytorch-convcnp are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Implementation of the Convolutional Conditional Neural Process☆131May 17, 2021Updated 5 years ago
- Implementation of the Functional Neural Process models☆42Jul 17, 2020Updated 6 years ago
- A Pytorch Implementation of Attentive Neural Process☆76May 3, 2019Updated 7 years ago
- Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.☆239Jun 12, 2024Updated 2 years ago
- PyTorch implementation of Neural Processes☆87Feb 17, 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.
- Pytorch implementation of Neural Processes for functions and images☆238Feb 8, 2022Updated 4 years ago
- conditional neural process: tranlation of the tensorflow code to Pytorch☆18Apr 7, 2020Updated 6 years ago
- Implementation of MAML in numpy, deriving gradients and implementing backprop manually☆14Nov 15, 2018Updated 7 years ago
- Pytorch version of "Deep Convolutional Networks as shallow Gaussian Processes" by Adrià Garriga-Alonso, Carl Rasmussen and Laurence Aitch…☆32Apr 16, 2020Updated 6 years ago
- Robust Optimal Transport code☆43Oct 6, 2022Updated 3 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆16Jun 21, 2019Updated 7 years ago
- Official code for "Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs" (ICML 2023)☆19Jan 27, 2026Updated 7 months ago
- This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural P…☆1,024Jan 19, 2021Updated 5 years ago
- Pytorch implementation of Recurrent Neural Processes https://arxiv.org/pdf/1906.05915.pdf☆21Aug 6, 2019Updated 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.
- ☆11May 26, 2023Updated 3 years ago
- ☆12Jun 13, 2023Updated 3 years ago
- Sharing Deep Learning Research Models with Lightning Part 1: Building A Super Resolution App☆16Jun 30, 2022Updated 4 years ago
- The Wasserstein Distance and Optimal Transport Map of Gaussian Processes☆51Aug 3, 2020Updated 6 years ago
- ☆16Feb 21, 2023Updated 3 years ago
- Code for paper "Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning" by David Janz*, Jiri Hron*, Przemys…☆22Feb 24, 2023Updated 3 years ago
- Black Box Variational Inference☆14May 22, 2015Updated 11 years ago
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆59Jul 12, 2019Updated 7 years ago
- Chainer implementation of Improving Generative Adversarial Networks with Denoising Feature Matching☆29Jun 26, 2017Updated 9 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- ☆26Apr 16, 2020Updated 6 years ago
- Code for: "Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes" and "TaskNorm: Rethinking Batch Norma…☆163Jan 14, 2021Updated 5 years ago
- Implementation of SpliceAI, Illumina's deep neural network to predict variant effects on splicing, in PyTorch.☆15Mar 3, 2023Updated 3 years ago
- implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)☆100Mar 21, 2025Updated last year
- Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"☆44Nov 10, 2020Updated 5 years ago
- Analysis of evidential models☆15Jun 22, 2023Updated 3 years ago
- ☆13Oct 14, 2020Updated 5 years ago
- This repository contains code for applying Riemannian geometry in machine learning.☆80Jun 21, 2021Updated 5 years ago
- Computer Modern Mono proportional font☆11Jan 2, 2013Updated 13 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.
- Deep neural network kernel for Gaussian process☆210Sep 8, 2020Updated 5 years ago
- A framework for composing Neural Processes in Python☆90Dec 17, 2024Updated last year
- ☆13Apr 8, 2019Updated 7 years ago
- Solver for 1D nonlinear partial differential equations in Julia based on the collocation method of Skeel and Berzins and providing an API…☆14Aug 5, 2024Updated 2 years ago
- Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)☆20Apr 4, 2019Updated 7 years ago
- 🚀 A demonstration of hyperparameter optimization using Optuna for models implemented with AllenNLP.☆16Nov 28, 2020Updated 5 years ago
- Code for paper EDDI: Efficient Dynamic Discovery of High-Value Information with Partial VAE☆43Jun 12, 2023Updated 3 years ago