Neural Diffusion Processes
☆82Aug 4, 2024Updated 2 years ago
Alternatives and similar repositories for neural-diffusion-processes
Users that are interested in neural-diffusion-processes are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆12Jun 13, 2023Updated 3 years ago
- Official implementation of Transformer Neural Processes☆83Aug 21, 2022Updated 4 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆76May 1, 2022Updated 4 years ago
- Pytorch implementation of neural processes and variants☆29Jul 25, 2024Updated 2 years ago
- Code that accompanies the paper Guided Deep Kernel Learning☆10Jul 2, 2023Updated 3 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
- [ICLR 2022] Path integral sampler☆54Aug 21, 2023Updated 3 years ago
- Code for paper "Compositional Sculpting of Iterative Generative Processes"☆25Oct 2, 2023Updated 2 years ago
- A repository with implementations of major papers on Gaussian Process regression models, implemented from scratch in Python, notably incl…☆14Nov 19, 2022Updated 3 years ago
- ☆19Mar 31, 2024Updated 2 years ago
- Pytorch implementation of Recurrent Neural Processes https://arxiv.org/pdf/1906.05915.pdf☆21Aug 6, 2019Updated 7 years ago
- ☆53Feb 27, 2023Updated 3 years ago
- Official implementation of ICML'24 paper "Offline Multi-Objective Optimization".☆26May 24, 2026Updated 3 months ago
- Repository for score-based transport modeling.☆11Jul 22, 2023Updated 3 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.
- Official repository for the paper "Fast Predictive Uncertainty for Classification with Bayesian Deep Networks". Accepted at UAI 2022. htt…☆13May 25, 2022Updated 4 years ago
- Online variational GPs☆38Jun 1, 2023Updated 3 years ago
- ☆16May 12, 2023Updated 3 years ago
- Cross-Domain Imitation Learning via Optimal Transport☆27Jun 24, 2022Updated 4 years 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
- ☆14Nov 2, 2022Updated 3 years ago
- A set of tests for evaluating large-scale algorithms for Wasserstein-1 transport computation (NeurIPS'22).☆24Sep 9, 2024Updated last year
- Baselines for Model-Based Optimization installation fixes and compatible with newer AMPERE+ GPUs (e.g. 3090)☆11Apr 30, 2023Updated 3 years ago
- Implementation of the Functional Neural Process models☆42Jul 17, 2020Updated 6 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆13Feb 16, 2021Updated 5 years ago
- Outlier-Resilient Web Service QoS Prediction☆10Feb 7, 2021Updated 5 years ago
- Public code for running Stochastic Gradient Descent on GPs.☆39Apr 23, 2025Updated last year
- Exponential families for JAX☆77Updated this week
- A framework for composing Neural Processes in Python☆90Dec 17, 2024Updated last year
- ☆34Jul 10, 2023Updated 3 years ago
- Riemannian Convex Potential Maps☆68Mar 31, 2023Updated 3 years ago
- 📰 [TMLR 2026 Survey Certification] Must-Read Papers on Offline Model-Based Optimization 🔥☆30Jan 27, 2026Updated 7 months 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
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- ☆16May 30, 2023Updated 3 years ago
- Quantification of Uncertainty with Adversarial Models☆29Jul 11, 2023Updated 3 years ago
- Pytorch code for Sampling in Combinatorial Spaces with SurVAE Flow Augmented MCMC☆11Mar 1, 2021Updated 5 years ago
- Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"☆85Feb 22, 2023Updated 3 years ago
- Official implementation of NeurIPS'24 Spotlight paper "Monte Carlo Tree Search based Space Transfer for Black-box Optimization".☆13Nov 28, 2024Updated last year
- [ICML 2022] Learning Efficient and Robust Ordinary Differential \\ Equations via Invertible Neural Networks☆11Apr 14, 2023Updated 3 years ago
- ☆31Sep 17, 2024Updated last year