Code for the ICML 2019 paper 'Conditioning by adaptive sampling for robust design'
☆37Jun 4, 2021Updated 4 years ago
Alternatives and similar repositories for CbAS
Users that are interested in CbAS are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Fitness landscape exploration sandbox for biological sequence design.☆170Feb 16, 2023Updated 3 years ago
- ☆34May 1, 2025Updated 10 months ago
- Deep Exploration Networks - Diverse Deep Generative Models for DNA, RNA and Protein Sequences☆31Oct 1, 2021Updated 4 years ago
- PyTorch implementation for our paper "Proximal Exploration for Model-guided Protein Sequence Design"☆37Aug 7, 2023Updated 2 years ago
- Code for "A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences"☆16Feb 24, 2025Updated last year
- Boltzmann machine learning for Potts models of biological data☆12Jul 24, 2024Updated last year
- Batch Multi-Fidelity Bayesian Optimization with Deep Auto-Regressive Networks☆12Nov 3, 2021Updated 4 years ago
- Data Files for "Deep diversification of an AAV capsid protein by machine learning"☆18Mar 9, 2021Updated 5 years ago
- Variational autoencoder for protein sequences - add metal binding sites and generate sequences for novel topologies☆94Jul 13, 2023Updated 2 years ago
- Code and Data for Generative modeling for AAV design☆10Nov 13, 2023Updated 2 years ago
- [ICLR 2022] Path integral sampler☆53Aug 21, 2023Updated 2 years ago
- [NeurIPS 24] Official Implementation (Pytorch) of "Inversion-based Latent Bayesian Optimization"☆10Nov 15, 2024Updated last year
- A neural based approach to the task of genetic codon optimization☆18Aug 17, 2020Updated 5 years ago
- Load biophysicochemical properties of amino acids, Kidera factors and Atchley factors into R and Python in only a single line.☆16Nov 3, 2019Updated 6 years ago
- This repository is the official implementation of Bidirectional Learning for Offline Infinite-width Model-based Optimization (NeurIPS 202…☆14Jan 19, 2023Updated 3 years ago
- Implementation of "Semi-supervised learning of hierarchical representations of molecules using neural message passing" (arXiv:1711.10168)☆14Jun 20, 2018Updated 7 years ago
- ☆24Feb 16, 2022Updated 4 years ago
- Batched High-dimensional Bayesian Optimization via Structural Kernel Learning☆15Dec 30, 2018Updated 7 years ago
- [ICLR 2023] "Graph Domain Adaptation via Theory-Grounded Spectral Regularization" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen☆23Feb 27, 2023Updated 3 years ago
- Code for the paper "Learning to engineer protein flexibility".☆22Jan 21, 2026Updated 2 months ago
- Code for the paper: Kernel Distributionally Robust Optimization☆13Feb 21, 2021Updated 5 years ago
- Official repository for discrete Walk-Jump Sampling (dWJS)☆56Dec 17, 2023Updated 2 years ago
- a curated list of bayesian optimization tutorials, papers, softwares☆32Jun 5, 2021Updated 4 years ago
- Official repository for "Plug & Play Directed Evolution for Proteins with Gradient-Based Discrete MCMC"☆12Jul 18, 2023Updated 2 years ago
- The implementation of "The Kanerva Machine" with Pytorch and Pyro☆12Jun 14, 2018Updated 7 years ago
- Surrogate benchmarks for HPO problems☆31May 26, 2025Updated 9 months ago
- ☆15Sep 29, 2025Updated 5 months ago
- PlaNet: Learning Latent Dynamics for Planning from Pixels☆10Feb 13, 2020Updated 6 years ago
- UniRep model, usage, and examples.☆361Mar 1, 2026Updated 3 weeks ago
- ☆14Aug 20, 2019Updated 6 years ago
- Few shot learning for cancer☆36Nov 17, 2021Updated 4 years ago
- A basic implementation with GPy of an Automatic Bayesian Covariance Discovery (ABCD) system☆15Nov 15, 2023Updated 2 years ago
- ChemDataWriter is a transformer-based library for automatically generating research books in the chemistry area.☆14Oct 7, 2023Updated 2 years ago
- pytasks is a modular and customizable microservice for running computational tasks on workers and viewing its results through a REST API.☆10Jun 21, 2025Updated 9 months ago
- Codebase for controlling and managing the Acceleration Consortium (AC) Training Lab.☆17Jan 27, 2026Updated last month
- Implementation of methods to sample from Boltzmann distributions☆21Jan 24, 2023Updated 3 years ago
- Benchmarks for Model-Based Optimization☆97Apr 21, 2024Updated last year
- ☆25Mar 6, 2026Updated 2 weeks ago
- ☆13Nov 29, 2017Updated 8 years ago