masa-ue / RLfinetuning_Diffusion_BioseqLinks
Code for the tutorial/review paper for RL-based-fine-tuniing. In this code, we especially focus on the design of biological sequences like DNA (enhancers) and RNA (UTRs) design.
☆148Updated last year
Alternatives and similar repositories for RLfinetuning_Diffusion_Bioseq
Users that are interested in RLfinetuning_Diffusion_Bioseq are comparing it to the libraries listed below
Sorting:
- SEIKO is a novel reinforcement learning method to efficiently fine-tune diffusion models in an online setting. Our methods outperform all…☆26Updated last year
- Inference-Time Alignment in Protein Diffusion Models☆44Updated 8 months ago
- Official codebase for Exact Energy-Guided Diffusion Sampling via Contrastive Energy Prediction☆35Updated last year
- Derivative-Free Guidance in Diffusion Models with Soft Value-Based Decoding. For controlled generation in DNA, RNA, proteins, molecules (…☆33Updated last year
- Official Jax Implementation of MD4 Masked Diffusion Models☆128Updated 7 months ago
- 📰 Must-Read Papers on Offline Model-Based Optimization 🔥☆24Updated 3 months ago
- Code repository for Trajectory Flow Matching☆83Updated 11 months ago
- Simple Guidance Mechanisms for Discrete Diffusion Models☆52Updated 9 months ago
- ☆36Updated last year
- [ICML 2025] The official implementation of the paper "On the Guidance of Flow Matching"☆60Updated 3 weeks ago
- Official codebase for Exact Energy-Guided Diffusion Sampling via Contrastive Energy Prediction (ICML 2023)☆50Updated 2 years ago
- The official implementation of flow Q-learning (FQL)☆235Updated 2 months ago
- Graph Diffusion Policy Optimization☆40Updated last year
- A general framework for inference-time scaling and steering of diffusion models with arbitrary rewards.☆187Updated 3 months ago
- Annotated Flow Matching paper☆209Updated last year
- ☆73Updated last year
- Official Code for Paper "Think While You Generate: Discrete Diffusion with Planned Denoising" [ICLR 2025]☆79Updated 5 months ago
- Implementation of Particle Guidance: non-I.I.D. Diverse Sampling with Diffusion Models☆71Updated last year
- Code for the paper: "Fine-Tuning Discrete Diffusion Models with Policy Gradient Methods"☆27Updated 4 months ago
- [NeurIPS 2023] Reward-Directed Conditional Diffusion: Provable Distribution Estimation and Reward Improvement☆16Updated 11 months ago
- ☆34Updated last year
- [ICLR 2025] Official Implementation of ParetoFlow: Guided Flows in Multi-Objective Optimization🧬🧬🧬☆21Updated 7 months ago
- Reward fine-tuning for Stable Diffusion models based on stochastic optimal control, including Adjoint Matching☆44Updated 4 months ago
- code for "Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching"☆121Updated 2 months ago
- Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold☆64Updated 7 months ago
- code for "Generalized Schrödinger Bridge Matching" (ICLR 2024).☆79Updated last year
- Minimal Implementation of a D3PM in pytorch☆261Updated last year
- Code for paper: "Fine-Tuning Discrete Diffusion Models via Reward Optimization with Applications to DNA and Protein Design"☆59Updated 4 months ago
- A curated list for awesome discrete diffusion models resources.☆459Updated 3 weeks ago
- Code for the paper Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.☆62Updated 5 months ago