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.
☆138Updated 8 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…☆22Updated 10 months ago
- Official codebase for Exact Energy-Guided Diffusion Sampling via Contrastive Energy Prediction☆30Updated last year
- Inference-Time Alignment in Protein Diffusion Models☆36Updated 4 months ago
- The official implementation of flow Q-learning (FQL)☆151Updated 2 months ago
- Derivative-Free Guidance in Diffusion Models with Soft Value-Based Decoding. For controlled generation in DNA, RNA, proteins, molecules (…☆31Updated 8 months ago
- Code for the paper Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.☆55Updated last month
- Code for paper: "Fine-Tuning Discrete Diffusion Models via Reward Optimization with Applications to DNA and Protein Design"☆51Updated 3 weeks ago
- Annotated Flow Matching paper☆187Updated 8 months ago
- Code repository for Trajectory Flow Matching☆66Updated 7 months ago
- ☆32Updated 11 months ago
- Implementation of Particle Guidance: non-I.I.D. Diverse Sampling with Diffusion Models☆69Updated last year
- Official Code for Paper "Think While You Generate: Discrete Diffusion with Planned Denoising" [ICLR 2025]☆61Updated last month
- Simple Guidance Mechanisms for Discrete Diffusion Models☆39Updated 5 months ago
- Official Jax Implementation of MD4 Masked Diffusion Models☆93Updated 3 months ago
- Code for the paper https://arxiv.org/abs/2402.04997☆78Updated last year
- [NeurIPS 2023] Reward-Directed Conditional Diffusion: Provable Distribution Estimation and Reward Improvement☆14Updated 7 months ago
- A general framework for inference-time scaling and steering of diffusion models with arbitrary rewards.☆152Updated 3 months ago
- Official implementation of the RLC 2024 paper "Policy-Guided Diffusion"☆136Updated 10 months ago
- Reward fine-tuning for Stable Diffusion models based on stochastic optimal control☆36Updated this week
- [ICLR 2025] Official Implementation of ParetoFlow: Guided Flows in Multi-Objective Optimization🧬🧬🧬☆16Updated 3 months ago
- This repo is the code for T-SCEND, a novel framework that significantly improves diffusion model’s reasoning capabilities with better ene…☆23Updated 3 months ago
- Educational implementation of the Discrete Flow Matching paper☆88Updated 9 months ago
- Graph Diffusion Policy Optimization☆36Updated last year
- Official codebase for Exact Energy-Guided Diffusion Sampling via Contrastive Energy Prediction （ICML 2023）☆48Updated last year
- Code for TFG: Unified Training-Free Guidance for Diffusion Models☆58Updated 3 weeks ago
- code for "Generalized Schrödinger Bridge Matching" (ICLR 2024).☆69Updated last year
- ☆65Updated 11 months ago
- Implementation of the new SOTA for model based RL, from the paper "Improving Transformer World Models for Data-Efficient RL", in Pytorch☆121Updated last month
- ☆30Updated 10 months ago
- Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold☆55Updated 3 months ago