Shen-Lab / LOISLinks
[NeurIPS 2019] LOIS: Learning to Optimize In Swarms, guided by posterior estimation
☆18Updated 4 years ago
Alternatives and similar repositories for LOIS
Users that are interested in LOIS are comparing it to the libraries listed below
Sorting:
- Bayesian Optimisation for String Spaces☆24Updated 4 years ago
- Benchmarks for Model-Based Optimization☆96Updated last year
- ☆18Updated last year
- Baselines for Model-Based Optimization☆54Updated 3 years ago
- ☆27Updated 2 years ago
- GflowNets, MCMC, Metropolis-Hasting, Gibbs sampling, Metropolis-adjusted Langevin, Inverse Transform Sampling, Acceptance-Rejection Metho…☆86Updated 2 years ago
- ☆44Updated 3 years ago
- ☆32Updated 3 years ago
- Code to reproduce experiments in "Accelerating Bayesian Optimization for Protein Design with Denoising Autoencoders" (Stanton et al 2022)☆71Updated last year
- Implementation of Geometric Vector Perceptron, a simple circuit for 3d rotation equivariance for learning over large biomolecules, in Pyt…☆76Updated 4 years ago
- This repository is the official implementation of Bidirectional Learning for Offline Infinite-width Model-based Optimization (NeurIPS 202…☆14Updated 2 years ago
- ☆20Updated 9 months ago
- Python implementation for Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces.☆13Updated 3 years ago
- Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization☆41Updated 5 years ago
- Bayesian optimization with conformal coverage guarantees☆28Updated 3 years ago
- Official implementation of NeurIPS'23 paper "Sample-efficient Multi-objective Molecular Optimization with GFlowNets"☆19Updated last year
- Repository for Autobahn: Automorphism Based Graph Neural Networks☆30Updated 3 years ago
- ☆19Updated 2 years ago
- 📰 Must-Read Papers on Offline Model-Based Optimization 🔥☆27Updated 4 months ago
- ☆12Updated 3 years ago
- This is the code for our paper: Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces (Leonard Papenmeier…☆19Updated last year
- Python implementation of the supervised graph prediction method proposed in http://arxiv.org/abs/2202.03813 using PyTorch library and POT…☆14Updated 3 years ago
- Meta in-context learning for protein fitness prediction☆11Updated 9 months ago
- ☆29Updated 3 years ago
- [NeurIPS 2020] Diversity-Guided Efficient Multi-Objective Optimization With Batch Evaluations☆108Updated 2 years ago
- Code for "Biological Sequence Design with GFlowNets", 2022☆75Updated 2 years ago
- Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization☆74Updated 3 years ago
- Official repository for the ICLR 2022 paper "Evaluation Metrics for Graph Generative Models: Problems, Pitfalls, and Practical Solutions"…☆14Updated 3 years ago
- Code for the ICML 2019 paper 'Conditioning by adaptive sampling for robust design'☆37Updated 4 years ago
- Code for "Maximizing Acquisition Functions for Bayesian Optimization"☆13Updated 6 years ago