wiseodd / lapeft-bayesopt
Discrete Bayesian optimization with LLMs, PEFT finetuning methods, and the Laplace approximation.
☆19Updated 9 months ago
Alternatives and similar repositories for lapeft-bayesopt
Users that are interested in lapeft-bayesopt are comparing it to the libraries listed below
Sorting:
- Code to reproduce experiments in "Accelerating Bayesian Optimization for Protein Design with Denoising Autoencoders" (Stanton et al 2022)☆70Updated 11 months ago
- Bare-bones implementations of some generative models in Jax: diffusion, normalizing flows, consistency models, flow matching, (beta)-VAEs…☆129Updated last year
- ☆28Updated 2 years ago
- Lagrangian formulation of Doob's h-transform allowing for efficient rare event sampling☆49Updated last month
- Code for "Biological Sequence Design with GFlowNets", 2022☆73Updated 2 years ago
- Benchmark for Biophysical Sequence Optimization Algorithms☆16Updated 2 weeks ago
- A short and easy PyTorch implementation of E(n) Equivariant Graph Neural Networks☆131Updated 3 years ago
- Bayesian Optimisation for String Spaces☆24Updated 3 years ago
- Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.☆57Updated last year
- Code for the paper Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.☆53Updated last month
- ☆33Updated last month
- Bayesian optimization with conformal coverage guarantees☆28Updated 2 years ago
- Code for paper "Compositional Sculpting of Iterative Generative Processes"☆21Updated last year
- code for "Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching"☆47Updated this week
- An implementation of ESM2 in Equinox+JAX☆25Updated 3 months ago
- Official implementation of Fisher-Flow Matching (NeurIPS 2024).☆21Updated 6 months ago
- Official release of code for "Oops I Took A Gradient: Scalable Sampling for Discrete Distributions"☆54Updated last year
- ☆24Updated last year
- Python implementation for Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces.☆13Updated 3 years ago
- Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems [ICML'25]☆51Updated last week
- Official code repository of paper Equivariance via Minimal Frame Averaging for More Symmetries and Efficiency.☆17Updated 3 months ago
- Implementation of Action Matching☆41Updated last year
- Code for the paper https://arxiv.org/abs/2402.04997☆77Updated last year
- Stochastic Normalizing Flows☆76Updated 3 years ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆42Updated 2 years ago
- DISCS: The code base for the Benchmark for Discrete Sampling☆56Updated 8 months ago
- Implementation of Action Matching for the Schrödinger equation☆24Updated last year
- ☆19Updated 3 months ago
- SE(3) Equivariant Augmented Coupling Flows. NeurIPS 2023.☆24Updated last year
- ☆109Updated last year