Meta-learning Gaussian process (GP) priors via PAC-Bayes bounds
☆26Jan 25, 2024Updated 2 years ago
Alternatives and similar repositories for meta_learning_pacoh
Users that are interested in meta_learning_pacoh are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆14Aug 20, 2019Updated 7 years ago
- Implementation of the paper "Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory", Ron Amit and Ron Meir, ICML 2018☆22Oct 30, 2019Updated 6 years ago
- Sparse Orthogonal Variational Inference for Gaussian Processes (SOLVE-GP)☆23Jun 22, 2021Updated 5 years ago
- Repo for our paper "Repulsive deep ensembles are Bayesian"☆19Dec 11, 2021Updated 4 years ago
- Code for "Function Space Particle Optimization for Bayesian Neural Networks"☆18Oct 26, 2022Updated 3 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- A toolbox for inference of switching systems for control☆11Aug 23, 2021Updated 5 years ago
- Implementation of the Convolutional Conditional Neural Process☆131May 17, 2021Updated 5 years ago
- NRPSpredictor2 is a program to predict the specificity of bacterial and fungal adenylation domains.☆12Oct 7, 2019Updated 6 years ago
- a deep recurrent model for exchangeable data☆34Jul 1, 2020Updated 6 years ago
- scalable multi-fidelity machine learning☆10Jul 16, 2021Updated 5 years ago
- SLSQP optimizer for Rust☆15Aug 24, 2026Updated 2 weeks ago
- 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
- Include ML DL RL, knowledge and code☆12Feb 12, 2023Updated 3 years ago
- ☆17May 28, 2018Updated 8 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.
- Code repo for "Kernel Interpolation for Scalable Online Gaussian Processes"☆66Mar 5, 2021Updated 5 years ago
- Code for "DeepPolar codes", ICML 2024☆12May 7, 2024Updated 2 years ago
- Checker for "morally correct" induction proofs about haskell programs☆11Mar 16, 2022Updated 4 years ago
- ☆78Apr 20, 2020Updated 6 years ago
- OpenConstruction project☆15Feb 14, 2023Updated 3 years ago
- Conditional probability, conditional entropy, and mutual information estimation in Python. https://arxiv.org/abs/1907.00325☆12Oct 15, 2020Updated 5 years ago
- Portfolio Construction using Stratified Models☆13Mar 25, 2021Updated 5 years ago
- AR-DAE: Towards Unbiased Neural Entropy Gradient Estimation☆15Jun 22, 2020Updated 6 years ago
- Code for "Automatic repair of convex optimization problems".☆14Feb 4, 2020Updated 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.
- Neural networks for conditional density estimation☆15May 9, 2020Updated 6 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆87Jul 19, 2020Updated 6 years ago
- Unsupervised fingerprinting of disordered solids leading to analogical materials discovery.☆10Feb 14, 2023Updated 3 years ago
- Code for Deep Structured Mixtures of Gaussian Processes (DSMGPs)☆11Jan 27, 2022Updated 4 years ago
- Paper and Code for "Curriculum Learning by Optimizing Learning Dynamics" (AISTATS 2021)☆21Jun 27, 2021Updated 5 years ago
- Code for 'Inference Suboptimality in Variational Autoencoders'☆11May 22, 2020Updated 6 years ago
- .ics generator for timetables☆16Feb 23, 2020Updated 6 years ago
- Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection☆23Jan 21, 2021Updated 5 years ago
- The MolE pre-training framework to learn general molecular representations from unlabeled structures☆12May 26, 2025Updated last year
- 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.
- Predict binding affinity of ligand-protein complexes using Graph Neural Networks. The model is implemented using PyTorch Geometric and ba…☆11Nov 26, 2022Updated 3 years ago
- 2-D XY Model with Monte Carlo method to simulate the KT Phase Transition☆17Dec 12, 2016Updated 9 years ago
- A scalable Dreamer implementation in JAX☆10May 22, 2022Updated 4 years ago
- Simple, extensible implementations of some meta-learning algorithms in Jax☆11Oct 6, 2020Updated 5 years ago
- Implementation of: Kristiadi, Agustinus, and Asja Fischer. "Predictive Uncertainty Quantification with Compound Density Networks." (2019)…☆16May 26, 2022Updated 4 years ago
- Pytorch version of "Deep Convolutional Networks as shallow Gaussian Processes" by Adrià Garriga-Alonso, Carl Rasmussen and Laurence Aitch…☆32Apr 16, 2020Updated 6 years ago
- Variational inference in Dirichlet process Gaussian mixture model (tensorflow implementation)☆13Oct 8, 2018Updated 7 years ago