Pytorch implementation of neural processes and variants
☆29Jul 25, 2024Updated 2 years ago
Alternatives and similar repositories for bnp
Users that are interested in bnp are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Official implementation of Transformer Neural Processes☆83Aug 21, 2022Updated 3 years ago
- Pytorch implementation of “MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and Architectures” (NeurIPS 2020 spotlight)☆13Jul 22, 2021Updated 5 years ago
- Implementation of the Functional Neural Process models☆42Jul 17, 2020Updated 6 years ago
- Code for Episodic Memory Reader (EMR) https://arxiv.org/abs/1903.06164☆15Nov 16, 2022Updated 3 years ago
- Code for "MetaFun: Meta-Learning with Iterative Functional Updates"☆14Aug 27, 2020Updated 5 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.
- Pytorch implementation of "Large-Scale Meta-Learning with Continual Trajectory Shifting" (ICML 2021)☆19Jul 22, 2021Updated 5 years ago
- Simple, but essential Bayesian optimization package☆97Jan 12, 2026Updated 7 months ago
- ☆24May 1, 2025Updated last year
- Implementation of Contrastive Neural Processes in PyTorch☆11Dec 7, 2022Updated 3 years ago
- Official Implementation for Generative Neural Fields by Mixtures of Neural Implicit Functions☆20Mar 10, 2024Updated 2 years ago
- Official PyTorch implementation of Safety-Guided Flow (SGF): "Safety-Guided Flow (SGF): A Unified Framework for Negative Guidance in Safe…☆15Feb 25, 2026Updated 5 months ago
- Python library for backtranslation (with Google Translate)☆12Jan 11, 2020Updated 6 years ago
- Truth-Conditional Captions for Time Series Data. EMNLP 2021. Harsh Jhamtani, Taylor Berg-Kirkpatrick☆14Feb 9, 2022Updated 4 years ago
- Code for "Training Deep Energy-Based Models with f-Divergence Minimization" ICML 2020☆38Mar 24, 2023Updated 3 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Pytorch implementation of set transformer☆682Feb 11, 2020Updated 6 years ago
- Neural Diffusion Processes☆82Aug 4, 2024Updated 2 years ago
- ☆16Feb 21, 2023Updated 3 years ago
- ☆19Mar 31, 2024Updated 2 years ago
- Code for the paper "Adversarial Neural Pruning with Latent Vulnerability Suppression"☆15Nov 23, 2022Updated 3 years ago
- Benchmark functions for Bayesian optimization☆37Mar 12, 2024Updated 2 years ago
- Bayesian Deep Learning Library☆15Oct 27, 2023Updated 2 years ago
- Implementation of the Convolutional Conditional Neural Process☆130May 17, 2021Updated 5 years ago
- A neural network architecture for prediction on sets☆24May 30, 2022Updated 4 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- ☆44Feb 21, 2022Updated 4 years ago
- Cost-aware Bayesian optimization via the Pandora's box Gittins index☆13Aug 8, 2025Updated last year
- MAML implementation (tensorflow)☆15Apr 25, 2019Updated 7 years ago
- Code accompanying the ICML-2018 paper "Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace"☆39Jan 18, 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
- A PyTorch implementation of "Meta-Amortized Variational Inference and Learning" (https://arxiv.org/abs/1902.01950)☆14Mar 31, 2020Updated 6 years ago
- Streamlit, but better.☆16Feb 5, 2024Updated 2 years ago
- ARML for ICLR 2020☆42May 22, 2020Updated 6 years ago
- Conditionally Adaptive Multi-Task Learning: Improving Transfer Learning in NLP Using Fewer Parameters & Less Data☆58Aug 5, 2021Updated 5 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.
- PyTorch implementation of the mixture distribution family with implicit reparametrisation gradients.☆19Jan 22, 2024Updated 2 years ago
- A PyTorch Implementation of Convolutional Conditional Neural Process.☆54Jan 1, 2020Updated 6 years ago
- Comparative Analysis of Graph Neural Networks for Node Regression task on Wiki-Squirrel dataset (Bachelor's Research Project)☆13Nov 6, 2025Updated 9 months ago
- Official PyTorch implementation of "Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets" (ICLR 2021)☆64Aug 5, 2024Updated 2 years ago
- ☆43Jul 26, 2024Updated 2 years ago
- Understanding Short-Horizon Bias in Stochastic Meta-Optimization☆37Mar 8, 2018Updated 8 years ago
- Unofficial PyTorch implementation of FFN : "Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains (Neur…☆35Nov 22, 2022Updated 3 years ago