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This repository contains the official implementation of training and inference as well as the pre-trained weights for the Family of Diffusion Protein Language Models (DPLM), including: - DPLM from ICML'24 paper "Diffusion Language Models Are Versatile Protein Learners", which introduces…
The main features of bytedance/dplm are: Applications, Applied Diffusion Models.
Projects with overlapping indexed features include: chenyuwang-monica/drakes — The repository contains the code for the DRAKES method presented in the paper: Fine-Tuning Discrete Diffusion Models… apple/ml-planner — PLANNER: Generating Diversified Paragraph via Latent Language Diffusion Model. bansky-cl/diffuspoll — This repository provides the official implementation of the following paper:. bytedance/difflm — This repository contains the code and models for our paper DiffLM: Controllable Synthetic Data Generation via… apple/ml-diffucoder — This software project accompanies the research paper, DiffuCoder: Understanding and Improving Masked Diffusion Models… amayama/xdlm.
The repository contains the code for the DRAKES method presented in the paper: Fine-Tuning Discrete Diffusion Models via Reward Optimization with Applications to DNA and Protein design (ICLR 2025). DRAKES is a fine-tuning method for reward optimization or alignment in discrete diffusion models,…
PLANNER: Generating Diversified Paragraph via Latent Language Diffusion Model
This repository provides the official implementation of the following paper:
This software project accompanies the research paper, DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation.