wiseodd / lapeft-bayesopt
Discrete Bayesian optimization with LLMs, PEFT finetuning methods, and the Laplace approximation.
☆17Updated 8 months ago
Alternatives and similar repositories for lapeft-bayesopt:
Users that are interested in lapeft-bayesopt are comparing it to the libraries listed below
- Code to reproduce experiments in "Accelerating Bayesian Optimization for Protein Design with Denoising Autoencoders" (Stanton et al 2022)☆68Updated 10 months ago
- Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.☆56Updated last year
- Lagrangian formulation of Doob's h-transform allowing for efficient rare event sampling☆48Updated last week
- Implementation of Action Matching☆40Updated last year
- Code for the paper Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.☆47Updated last month
- ☆32Updated 10 months ago
- Code for the paper https://arxiv.org/abs/2402.04997☆74Updated last year
- Official release of code for "Oops I Took A Gradient: Scalable Sampling for Discrete Distributions"☆54Updated last year
- ☆19Updated last month
- Code for "Biological Sequence Design with GFlowNets", 2022☆73Updated 2 years ago
- Code for paper "Compositional Sculpting of Iterative Generative Processes"☆20Updated last year
- This Denoising Force Field (DFF) codebase provides a Pytorch framework for the method presented in Two for one: Diffusion models and forc…☆58Updated 10 months ago
- ☆24Updated last year
- Official code repository of paper Equivariance via Minimal Frame Averaging for More Symmetries and Efficiency.☆17Updated 2 months ago
- Official implementation of Fisher-Flow Matching (NeurIPS 2024).☆19Updated 5 months ago
- ☆27Updated 2 years ago
- Official implementation of Deep Momentum Schrödinger Bridge☆24Updated last year
- Official implementation of the NeurIPS 24 paper of statistical flow matching (SFM) for discrete generation.☆22Updated 4 months ago
- A short and easy PyTorch implementation of E(n) Equivariant Graph Neural Networks☆130Updated 3 years ago
- Implementation of Action Matching for the Schrödinger equation☆24Updated last year
- SE(3) Equivariant Augmented Coupling Flows. NeurIPS 2023.☆24Updated last year
- Python implementation for Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces.☆13Updated 3 years ago
- Benchmark for Biophysical Sequence Optimization Algorithms☆16Updated this week
- GflowNets, MCMC, Metropolis-Hasting, Gibbs sampling, Metropolis-adjusted Langevin, Inverse Transform Sampling, Acceptance-Rejection Metho…☆85Updated 2 years ago
- Bare-bones implementations of some generative models in Jax: diffusion, normalizing flows, consistency models, flow matching, (beta)-VAEs…☆128Updated last year
- Benchmarks for Model-Based Optimization☆91Updated 11 months ago
- A Modular Architecture for Deep Learning Systems☆40Updated last week
- Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold☆52Updated 3 weeks ago
- ☆103Updated 10 months ago
- ☆31Updated 9 months ago