hnisonoff / discrete_guidanceLinks
Code for our paper "Unlocking Guidance for Discrete State-Space Diffusion and Flow Models"
☆20Updated 2 months ago
Alternatives and similar repositories for discrete_guidance
Users that are interested in discrete_guidance are comparing it to the libraries listed below
Sorting:
- Code for the paper https://arxiv.org/abs/2402.04997☆78Updated last year
- This repository is the official implementation of Bidirectional Learning for Offline Infinite-width Model-based Optimization (NeurIPS 202…☆15Updated 2 years ago
- Code for "Biological Sequence Design with GFlowNets", 2022☆73Updated 2 years ago
- Code for paper: "Fine-Tuning Discrete Diffusion Models via Reward Optimization with Applications to DNA and Protein Design"☆53Updated last month
- ☆22Updated last week
- Benchmark for Biophysical Sequence Optimization Algorithms☆18Updated last month
- Derivative-Free Guidance in Diffusion Models with Soft Value-Based Decoding. For controlled generation in DNA, RNA, proteins, molecules (…☆32Updated 8 months ago
- Code for the paper Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.☆56Updated 2 months ago
- Official implementation of Fisher-Flow Matching (NeurIPS 2024).☆23Updated 8 months ago
- QGFN: Controllable Greediness with Action Values - Code☆10Updated last year
- ☆17Updated last year
- Dirichlet Diffusion Score Model for Biological Sequence Generation.☆53Updated 4 months ago
- Aligned Diffusion Schroedinger Bridges (UAI 2023)☆32Updated last year
- ☆19Updated 4 months ago
- ☆29Updated 2 years ago
- Protein Design with Guided Discrete Diffusion☆131Updated last year
- ☆33Updated last year
- Official repository for discrete Walk-Jump Sampling (dWJS)☆53Updated last year
- SEIKO is a novel reinforcement learning method to efficiently fine-tune diffusion models in an online setting. Our methods outperform all…☆22Updated 11 months ago
- Code for the paper Context-Guided Diffusion for Out-of-Distribution Molecular and Protein Design☆38Updated 11 months ago
- ☆114Updated last year
- Benchmarks for Model-Based Optimization☆92Updated last year
- Supporting code for our paper "Protein Sequence Modelling with Bayesian Flow Networks"☆44Updated 3 months ago
- Supervised Training of Conditional Monge Maps☆18Updated last year
- ☆13Updated 2 years ago
- ☆12Updated last year
- Lagrangian formulation of Doob's h-transform allowing for efficient rare event sampling☆49Updated 3 months ago
- ☆175Updated last year
- This is the official implementation for Equivariant Enengy-guided SDE for Inverse Molecule Design (ICLR 2023)☆47Updated last year
- Official implementation of the NeurIPS 24 paper of statistical flow matching (SFM) for discrete generation.☆28Updated 7 months ago