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.
☆146Updated 11 months ago
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…☆23Updated last year
- Inference-Time Alignment in Protein Diffusion Models☆42Updated 7 months ago
- Derivative-Free Guidance in Diffusion Models with Soft Value-Based Decoding. For controlled generation in DNA, RNA, proteins, molecules (…☆33Updated 10 months ago
- Official codebase for Exact Energy-Guided Diffusion Sampling via Contrastive Energy Prediction☆33Updated last year
- Official Jax Implementation of MD4 Masked Diffusion Models☆123Updated 6 months ago
- Annotated Flow Matching paper☆200Updated 11 months ago
- Code repository for Trajectory Flow Matching☆77Updated 9 months ago
- Code for the paper: "Fine-Tuning Discrete Diffusion Models with Policy Gradient Methods"☆27Updated 3 months ago
- Simple Guidance Mechanisms for Discrete Diffusion Models☆50Updated 8 months ago
- [ICML 2025] The official implementation of the paper "On the Guidance of Flow Matching"☆47Updated 3 weeks ago
- ☆24Updated last year
- Implementation of Particle Guidance: non-I.I.D. Diverse Sampling with Diffusion Models☆71Updated last year
- code for "Generalized Schrödinger Bridge Matching" (ICLR 2024).☆75Updated last year
- Official Code for Paper "Think While You Generate: Discrete Diffusion with Planned Denoising" [ICLR 2025]☆72Updated 4 months ago
- Code for the paper Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.☆59Updated 4 months ago
- Code for paper: "Fine-Tuning Discrete Diffusion Models via Reward Optimization with Applications to DNA and Protein Design"☆59Updated 3 months ago
- Minimal Implementation of a D3PM in pytorch☆249Updated last year
- The official implementation of flow Q-learning (FQL)☆213Updated last month
- A general framework for inference-time scaling and steering of diffusion models with arbitrary rewards.☆176Updated 2 months ago
- ☆34Updated last year
- ☆69Updated last year
- [NeurIPS 2023] Reward-Directed Conditional Diffusion: Provable Distribution Estimation and Reward Improvement☆15Updated 9 months ago
- Code for the paper "Training Diffusion Models with Reinforcement Learning"☆495Updated 2 years ago
- Code for the paper https://arxiv.org/abs/2402.04997☆91Updated last year
- Graph Diffusion Policy Optimization☆38Updated last year
- Official codebase for Exact Energy-Guided Diffusion Sampling via Contrastive Energy Prediction (ICML 2023)☆48Updated 2 years ago
- 📰 Must-Read Papers on Offline Model-Based Optimization 🔥☆24Updated 2 months ago
- Educational implementation of the Discrete Flow Matching paper☆106Updated last year
- Reward fine-tuning for Stable Diffusion models based on stochastic optimal control, including Adjoint Matching☆40Updated 2 months ago
- Generative Flow Networks - GFlowNet☆269Updated last week