A Pytorch Implementation of Attentive Neural Process
☆75May 3, 2019Updated 7 years ago
Alternatives and similar repositories for Attentive-Neural-Process
Users that are interested in Attentive-Neural-Process are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)☆100Mar 21, 2025Updated last year
- Implementation of the Functional Neural Process models☆42Jul 17, 2020Updated 5 years ago
- This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural P…☆1,023Jan 19, 2021Updated 5 years ago
- Pytorch implementation of Neural Processes for functions and images☆237Feb 8, 2022Updated 4 years ago
- Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.☆234Jun 12, 2024Updated last year
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- A framework for composing Neural Processes in Julia☆76May 3, 2021Updated 5 years ago
- A PyTorch Implementation of Convolutional Conditional Neural Process.☆54Jan 1, 2020Updated 6 years ago
- PyTorch implementation of Neural Processes☆88Feb 17, 2019Updated 7 years ago
- Implementation of the Convolutional Conditional Neural Process☆130May 17, 2021Updated 5 years ago
- This repository contains PyTorch implementations of Neural Process, Attentive Neural Process, and Recurrent Attentive Neural Process.☆18Dec 11, 2020Updated 5 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆76May 1, 2022Updated 4 years ago
- Fractional White Noises for Neural Stochastic Differential Equations (NeurIPS 2022)☆16Nov 17, 2022Updated 3 years ago
- Original tensorflow implementation of SILOT (Spatially Invariant, Label-free Object Tracking).☆13Mar 24, 2023Updated 3 years ago
- Implementation of MAML in numpy, deriving gradients and implementing backprop manually☆14Nov 15, 2018Updated 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 framework for composing Neural Processes in Python☆90Dec 17, 2024Updated last year
- ☆20Jan 4, 2023Updated 3 years ago
- Classical Carleman solution of the viscous Burgers equation, used in https://arxiv.org/abs/2011.03185.☆12Mar 1, 2021Updated 5 years ago
- ☆26May 4, 2026Updated 3 weeks ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆16Jun 21, 2019Updated 6 years ago
- Deep renormalized Mori-Zwanzig (DrMZ) Julia package.☆17Jun 1, 2023Updated 2 years ago
- ☆11May 26, 2023Updated 3 years ago
- Official PyTorch implementation of "Improving Generative Imagination in Object-Centric World Models"☆36Dec 8, 2022Updated 3 years ago
- Featurized Density Ratio Estimation☆20Jul 11, 2021Updated 4 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.
- Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)☆208Jan 19, 2022Updated 4 years ago
- ☆11Apr 14, 2022Updated 4 years ago
- Python codes for studying predictability and data assimlation with a surface quasi-geostrophic turbulence model☆40May 15, 2026Updated last week
- Implicit Generation and Generalization in Energy Based Models in PyTorch☆68Mar 25, 2019Updated 7 years ago
- ☆16Feb 21, 2023Updated 3 years ago
- scalable multi-fidelity machine learning☆10Jul 16, 2021Updated 4 years ago
- Pseudospectral Kolmogorov Flow Solver☆43Oct 24, 2023Updated 2 years ago
- ZForcing Repo☆40Nov 10, 2017Updated 8 years ago
- Datasets and code to evaluate transferability of dynamics learning methods.☆20Dec 8, 2022Updated 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.
- A spherical CNN for weather forecasting☆74Dec 6, 2022Updated 3 years ago
- Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks☆85Nov 29, 2021Updated 4 years ago
- "Learning Discrete and Continuous Factors of Data via Alternating Disentanglement" accepted at ICML2019☆22Aug 22, 2019Updated 6 years ago
- This is the official source code for Sequential Neural Processes.☆42Dec 8, 2022Updated 3 years ago
- ☆23Sep 24, 2021Updated 4 years ago
- Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)☆27Mar 9, 2019Updated 7 years ago
- Python3 implementation of the paper [Large-scale optimal transport map estimation using projection pursuit]☆15Feb 24, 2021Updated 5 years ago