mila-iqia / ParetoFlowLinks
[ICLR 2025] Official Implementation of ParetoFlow: Guided Flows in Multi-Objective Optimization🧬🧬🧬
☆22Updated 7 months ago
Alternatives and similar repositories for ParetoFlow
Users that are interested in ParetoFlow are comparing it to the libraries listed below
Sorting:
- Official codebase for Exact Energy-Guided Diffusion Sampling via Contrastive Energy Prediction☆35Updated last year
- Code for the tutorial/review paper for RL-based-fine-tuniing. In this code, we especially focus on the design of biological sequences li…☆150Updated last year
- A curated list for awesome discrete diffusion models resources.☆476Updated last month
- Official Jax Implementation of MD4 Masked Diffusion Models☆138Updated 8 months ago
- Derivative-Free Guidance in Diffusion Models with Soft Value-Based Decoding. For controlled generation in DNA, RNA, proteins, molecules (…☆34Updated last year
- ☆37Updated last year
- SEIKO is a novel reinforcement learning method to efficiently fine-tune diffusion models in an online setting. Our methods outperform all…☆27Updated last year
- [ICML 2024 Best Paper] Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution (https://arxiv.org/abs/2310.16834)☆651Updated last year
- Code for the paper "Training Diffusion Models with Reinforcement Learning"☆518Updated 2 years ago
- 📰 Must-Read Papers on Offline Model-Based Optimization 🔥☆25Updated 4 months ago
- Simple Guidance Mechanisms for Discrete Diffusion Models☆57Updated 10 months ago
- [ICML 2025] The official implementation of the paper "On the Guidance of Flow Matching"☆61Updated last month
- Inference-Time Alignment in Protein Diffusion Models☆44Updated 9 months ago
- A general framework for inference-time scaling and steering of diffusion models with arbitrary rewards.☆193Updated 4 months ago
- A Tutorial for Diffusion Models☆59Updated 2 years ago
- [ICLR'25] Artificial Kuramoto Oscillatory Neurons☆104Updated last week
- Official PyTorch implementation for "Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data" (ICLR…☆66Updated 5 months ago
- Reward fine-tuning for Stable Diffusion models based on stochastic optimal control, including Adjoint Matching☆46Updated 5 months ago
- A summary of related works about flow matching, stochastic interpolants☆582Updated 7 months ago
- Annotated Flow Matching paper☆215Updated last year
- code for "Riemannian Flow Matching on General Geometries".☆266Updated last year
- A minimal PyTorch implementation of the VQ-VAE model described in "Neural Discrete Representation Learning".☆82Updated 3 years ago
- This is the official code release for Bayesian Flow Networks.☆300Updated last year
- [NeurIPS 2024] Simple and Effective Masked Diffusion Language Model☆537Updated last month
- DDPO for finetuning diffusion models, implemented in PyTorch with LoRA support☆691Updated last year
- Educational implementation of the Discrete Flow Matching paper☆122Updated last year
- Code for the paper Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.☆64Updated 6 months ago
- Code for paper "Compositional Sculpting of Iterative Generative Processes"☆25Updated 2 years ago
- ☆183Updated last year
- A curated list of resources about generative flow networks (GFlowNets).☆488Updated last year