Implementation of the Functional Neural Process models
☆42Jul 17, 2020Updated 6 years ago
Alternatives and similar repositories for FNP
Users that are interested in FNP 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☆130May 17, 2021Updated 5 years ago
- A PyTorch Implementation of Convolutional Conditional Neural Process.☆54Jan 1, 2020Updated 6 years ago
- Pytorch implementation of neural processes and variants☆29Jul 25, 2024Updated 2 years ago
- Pytorch implementation of Neural Processes for functions and images☆238Feb 8, 2022Updated 4 years ago
- Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.☆240Jun 12, 2024Updated 2 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 implementation of Transformer Neural Processes☆83Aug 21, 2022Updated 3 years ago
- This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural P…☆1,021Jan 19, 2021Updated 5 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆88Jul 19, 2020Updated 6 years ago
- PyTorch implementation of Neural Processes☆87Feb 17, 2019Updated 7 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆76May 1, 2022Updated 4 years ago
- ☆13Apr 8, 2019Updated 7 years ago
- Implementation of Contrastive Neural Processes in PyTorch☆11Dec 7, 2022Updated 3 years ago
- Implementation of iterative inference in deep latent variable models☆45Aug 21, 2019Updated 6 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆49Dec 17, 2019Updated 6 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.
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆16Jun 21, 2019Updated 7 years ago
- Code for: "Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes" and "TaskNorm: Rethinking Batch Norma…☆162Jan 14, 2021Updated 5 years ago
- Code for "MetaFun: Meta-Learning with Iterative Functional Updates"☆14Aug 27, 2020Updated 5 years ago
- A list of papers for group meeting☆20Jun 20, 2026Updated last month
- ☆11May 26, 2023Updated 3 years ago
- Pytorch implementation of Recurrent Neural Processes https://arxiv.org/pdf/1906.05915.pdf☆21Aug 6, 2019Updated 7 years ago
- Non-Parametric Calibration for Classification (AISTATS 2020)☆19Feb 3, 2022Updated 4 years ago
- ☆15Apr 24, 2020Updated 6 years ago
- [WWW 2021]Task-adaptive Neural Process for User Cold-Start Recommendation☆34Mar 16, 2021Updated 5 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- ☆12Jun 13, 2023Updated 3 years ago
- Implementation of "Fast and Flexible Temporal Point Processes with Triangular Maps" (Oral @ NeurIPS 2020)☆22Dec 1, 2023Updated 2 years ago
- Functional Optimal Transport: Map Estimation and Domain Adaptation for Functional data☆28Jun 7, 2021Updated 5 years ago
- ☆28Jan 31, 2022Updated 4 years ago
- A PyTorch implementation of Generative Flows with Matrix Exponential.☆12Sep 22, 2024Updated last year
- GFL for AAAI 2020☆31Jan 27, 2021Updated 5 years ago
- ☆16Feb 21, 2023Updated 3 years ago
- Evaluating Durability: Benchmark Insights into Multimodal Watermarking☆12Jun 7, 2024Updated 2 years ago
- Probabilistic Solution of Differential Equations☆13Jun 19, 2022Updated 4 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆42Nov 29, 2022Updated 3 years ago
- Code for the paper: Putting An End to End-to-End: Gradient-Isolated Learning of Representations☆292Mar 28, 2023Updated 3 years ago
- Neural Diffusion Processes☆82Aug 4, 2024Updated 2 years ago
- Official implementation of ICML'24 paper "Offline Multi-Objective Optimization".☆26May 24, 2026Updated 2 months ago
- implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)☆100Mar 21, 2025Updated last year
- Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection☆23Jan 21, 2021Updated 5 years ago
- ☆152Mar 28, 2022Updated 4 years ago