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.
☆140Updated 9 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 11 months ago
- Inference-Time Alignment in Protein Diffusion Models☆40Updated 5 months ago
- Official codebase for Exact Energy-Guided Diffusion Sampling via Contrastive Energy Prediction☆31Updated last year
- The official implementation of flow Q-learning (FQL)☆160Updated 3 months ago
- Code for paper: "Fine-Tuning Discrete Diffusion Models via Reward Optimization with Applications to DNA and Protein Design"☆53Updated last month
- Official Jax Implementation of MD4 Masked Diffusion Models☆106Updated 3 months ago
- Simple Guidance Mechanisms for Discrete Diffusion Models☆43Updated 6 months ago
- Derivative-Free Guidance in Diffusion Models with Soft Value-Based Decoding. For controlled generation in DNA, RNA, proteins, molecules (…☆32Updated 8 months ago
- A general framework for inference-time scaling and steering of diffusion models with arbitrary rewards.☆155Updated last week
- Graph Diffusion Policy Optimization☆36Updated last year
- Code for the paper Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.☆56Updated 2 months ago
- Implementation of Particle Guidance: non-I.I.D. Diverse Sampling with Diffusion Models☆70Updated last year
- Reward fine-tuning for Stable Diffusion models based on stochastic optimal control, including Adjoint Matching☆36Updated 3 weeks ago
- Annotated Flow Matching paper☆188Updated 9 months ago
- Official Code for Paper "Think While You Generate: Discrete Diffusion with Planned Denoising" [ICLR 2025]☆67Updated 2 months ago
- [NeurIPS 2023] Reward-Directed Conditional Diffusion: Provable Distribution Estimation and Reward Improvement☆14Updated 7 months ago
- Code repository for Trajectory Flow Matching☆69Updated 7 months ago
- ☆33Updated last year
- Code for TFG: Unified Training-Free Guidance for Diffusion Models☆59Updated last month
- Educational implementation of the Discrete Flow Matching paper☆92Updated 10 months ago
- Code for the paper https://arxiv.org/abs/2402.04997☆78Updated last year
- Official implementation of the RLC 2024 paper "Policy-Guided Diffusion"☆137Updated 11 months ago
- Official codebase for Exact Energy-Guided Diffusion Sampling via Contrastive Energy Prediction (ICML 2023)☆48Updated last year
- Code for the paper: "Fine-Tuning Discrete Diffusion Models with Policy Gradient Methods"☆22Updated last month
- Derivative-Free, Training-Free, Guidance in Diffusion Models☆13Updated 8 months ago
- ☆65Updated last year
- The official PyTorch implementation of Manifold Preserving Guided Diffusion (MPGD)☆33Updated last year
- code for "Riemannian Flow Matching on General Geometries".☆232Updated last year
- Official PyTorch implementation for "Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data" (ICLR…☆49Updated 3 weeks ago
- Code for the paper "Training Diffusion Models with Reinforcement Learning"☆473Updated last year