wiseodd / lapeft-bayesoptLinks
Discrete Bayesian optimization with LLMs, PEFT finetuning methods, and the Laplace approximation.
☆19Updated last year
Alternatives and similar repositories for lapeft-bayesopt
Users that are interested in lapeft-bayesopt are comparing it to the libraries listed below
Sorting:
- Bare-bones implementations of some generative models in Jax: diffusion, normalizing flows, consistency models, flow matching, (beta)-VAEs…☆131Updated last year
- Generative Flow Networks - GFlowNet☆267Updated 3 weeks ago
- Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.☆58Updated last year
- code for "Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching"☆111Updated 2 weeks ago
- A short and easy PyTorch implementation of E(n) Equivariant Graph Neural Networks☆133Updated 3 years ago
- Lagrangian formulation of Doob's h-transform allowing for efficient rare event sampling☆50Updated 4 months ago
- Official implementation of Fisher-Flow Matching (NeurIPS 2024).☆26Updated 9 months ago
- Official code repository of paper Equivariance via Minimal Frame Averaging for More Symmetries and Efficiency.☆17Updated 6 months ago
- ☆118Updated last year
- Code for the paper Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.☆58Updated 3 months ago
- Official release of code for "Oops I Took A Gradient: Scalable Sampling for Discrete Distributions"☆56Updated 2 years ago
- [ICML 2024] Official implementation for "Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling".☆35Updated 8 months ago
- GflowNets, MCMC, Metropolis-Hasting, Gibbs sampling, Metropolis-adjusted Langevin, Inverse Transform Sampling, Acceptance-Rejection Metho…☆86Updated 2 years ago
- Benchmarks for Model-Based Optimization☆94Updated last year
- GFlowNet library specialized for graph & molecular data☆262Updated 2 months ago
- Code to reproduce experiments in "Accelerating Bayesian Optimization for Protein Design with Denoising Autoencoders" (Stanton et al 2022)☆71Updated last year
- Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems [ICML'25]☆98Updated last month
- Code for the paper https://arxiv.org/abs/2402.04997☆88Updated last year
- ☆30Updated 2 years ago
- ☆35Updated 4 months ago
- Implementation of Action Matching☆44Updated 2 years ago
- TLDRs for ML in Drug Discovery papers☆71Updated 2 years ago
- Stochastic Normalizing Flows☆78Updated 3 years ago
- Code for "Biological Sequence Design with GFlowNets", 2022☆74Updated 2 years ago
- A modular, easy to extend GFlowNet library☆283Updated this week
- Lightning-like training API for JAX with Flax☆42Updated 8 months ago
- Official repository for the paper "Improving black-box optimization in VAE latent space using decoder uncertainty" (Pascal Notin, José Mi…☆31Updated last year
- Code used by the "Clifford Group Equivariant Neural Networks" paper.☆84Updated last year
- Python implementation for Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces.☆13Updated 3 years ago
- Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)☆65Updated 4 months ago