Official implementation of Transformer Neural Processes
☆83Aug 21, 2022Updated 4 years ago
Alternatives and similar repositories for TNP-pytorch
Users that are interested in TNP-pytorch are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Pytorch implementation of neural processes and variants☆29Jul 25, 2024Updated 2 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 Recurrent Neural Processes https://arxiv.org/pdf/1906.05915.pdf☆21Aug 6, 2019Updated 7 years ago
- implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)☆100Mar 21, 2025Updated last year
- ☆14Nov 2, 2022Updated 3 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.
- Neural Diffusion Processes☆83Aug 4, 2024Updated 2 years ago
- Implementation of the Functional Neural Process models☆42Jul 17, 2020Updated 6 years ago
- A framework for composing Neural Processes in Python☆91Dec 17, 2024Updated last year
- ☆19Mar 31, 2024Updated 2 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆77May 1, 2022Updated 4 years ago
- ☆16Feb 21, 2023Updated 3 years ago
- ☆34Jul 10, 2023Updated 3 years ago
- Baselines for Model-Based Optimization installation fixes and compatible with newer AMPERE+ GPUs (e.g. 3090)☆11Apr 30, 2023Updated 3 years ago
- ☆243Sep 15, 2026Updated last week
- 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.
- Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories☆42Jul 16, 2023Updated 3 years ago
- Implementation of the Convolutional Conditional Neural Process☆130May 17, 2021Updated 5 years ago
- A Pytorch Implementation of Attentive Neural Process☆76May 3, 2019Updated 7 years ago
- Featurized Density Ratio Estimation☆20Jul 11, 2021Updated 5 years ago
- 📰 [TMLR 2026 Survey Certification] Must-Read Papers on Offline Model-Based Optimization 🔥☆30Jan 27, 2026Updated 7 months ago
- The official implementation of PFNs4BO: In-Context Learning for Bayesian Optimization☆50Sep 18, 2025Updated last year
- Uncertainty quantification using martingales for misspecified Gaussian processes☆10Feb 15, 2021Updated 5 years ago
- A pytorch implementation of the paper "Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images", NIPS, 2015☆16Sep 30, 2019Updated 6 years ago
- Codebase for "Uni[MASK]: Unified Inference in Sequential Decision Problems"☆57Jul 3, 2024Updated 2 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.
- Pytorch implementation of Neural Processes for functions and images☆240Feb 8, 2022Updated 4 years ago
- Benchmarks for Model-Based Optimization☆96Apr 21, 2024Updated 2 years ago
- This is the official source code for Sequential Neural Processes.☆41Dec 8, 2022Updated 3 years ago
- Gaussian processes with spherical harmonic features in JAX☆16Aug 24, 2025Updated last year
- Joint entropy search☆22Dec 7, 2022Updated 3 years ago
- Official implementation of ICML'24 paper "Offline Multi-Objective Optimization".☆26May 24, 2026Updated 4 months ago
- PyTorch implementation of the mixture distribution family with implicit reparametrisation gradients.☆19Jan 22, 2024Updated 2 years ago
- ☆54Feb 16, 2022Updated 4 years ago
- Benchmark functions for Bayesian optimization☆38Mar 12, 2024Updated 2 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.
- A community repository for benchmarking Bayesian methods☆11May 25, 2023Updated 3 years ago
- [NeurIPS DBT 2021] HPO-B☆42Nov 8, 2025Updated 10 months ago
- Amortized Probabilistic Conditioning for Optimization, Simulation and Inference (Chang et al., AISTATS 2025)☆24Sep 15, 2026Updated last week
- Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"☆86Feb 22, 2023Updated 3 years ago
- ☆11Oct 3, 2022Updated 3 years ago
- Implementation of ICML 22 Paper: Scaling Structured Inference with Randomization☆13Jul 24, 2022Updated 4 years ago
- A trained neural network built from scratch to classify clothes and digits from the MNIST dataset☆14Sep 11, 2019Updated 7 years ago