zhaoyl18 / SEIKOLinks
SEIKO is a novel reinforcement learning method to efficiently fine-tune diffusion models in an online setting. Our methods outperform all baselines (PPO, classifier-based guidance, direct reward backpropagation) for fine-tuning Stable Diffusion.
☆22Updated 11 months ago
Alternatives and similar repositories for SEIKO
Users that are interested in SEIKO are comparing it to the libraries listed below
Sorting:
- Code for the tutorial/review paper for RL-based-fine-tuniing. In this code, we especially focus on the design of biological sequences li…☆142Updated 10 months ago
- Derivative-Free Guidance in Diffusion Models with Soft Value-Based Decoding. For controlled generation in DNA, RNA, proteins, molecules (…☆31Updated 9 months ago
- Official codebase for Exact Energy-Guided Diffusion Sampling via Contrastive Energy Prediction☆33Updated last year
- Official Code for Local Search GFlowNets (ICLR 2024 Spotlight)☆19Updated 4 months ago
- Inference-Time Alignment in Protein Diffusion Models☆40Updated 5 months ago
- Code for the paper Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.☆58Updated 3 months ago
- ☆17Updated 2 years ago
- Code for our paper "Unlocking Guidance for Discrete State-Space Diffusion and Flow Models"☆22Updated 2 months ago
- Code for paper: "Fine-Tuning Discrete Diffusion Models via Reward Optimization with Applications to DNA and Protein Design"☆56Updated 2 months ago
- ☆34Updated last year
- Benchmarks for Model-Based Optimization☆92Updated last year
- Simple Guidance Mechanisms for Discrete Diffusion Models☆46Updated 7 months ago
- 📰 Must-Read Papers on Offline Model-Based Optimization 🔥☆24Updated 3 weeks ago
- This repository is the official implementation of Bidirectional Learning for Offline Infinite-width Model-based Optimization (NeurIPS 202…☆15Updated 2 years ago
- Code for the paper https://arxiv.org/abs/2402.04997☆81Updated last year
- Official implementation of ICML'24 paper "Offline Multi-Objective Optimization".☆21Updated last month
- ☆18Updated last year
- Baselines for Model-Based Optimization installation fixes and compatible with newer AMPERE+ GPUs (e.g. 3090)☆11Updated 2 years ago
- Implementation of Particle Guidance: non-I.I.D. Diverse Sampling with Diffusion Models☆70Updated last year
- ☆13Updated last year
- ☆35Updated 3 months ago
- Code for the paper: "Fine-Tuning Discrete Diffusion Models with Policy Gradient Methods"☆24Updated last month
- GflowNets, MCMC, Metropolis-Hasting, Gibbs sampling, Metropolis-adjusted Langevin, Inverse Transform Sampling, Acceptance-Rejection Metho…☆85Updated 2 years ago
- Official Jax Implementation of MD4 Masked Diffusion Models☆112Updated 4 months ago
- ☆16Updated last year
- ☆32Updated 11 months ago
- [NeurIPS 2023] Reward-Directed Conditional Diffusion: Provable Distribution Estimation and Reward Improvement☆14Updated 8 months ago
- ☆24Updated last year
- Entropic Optimal Transport Benchmark (NeurIPS 2023).☆24Updated last year
- GFlowNet library specialized for graph & molecular data☆259Updated last month