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apple/ml-diffucoder

0
View on GitHub↗
825 stars·57 forks·Python·6 views

Ml Diffucoder

This software project accompanies the research paper, DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation.

Features

  • Applications - Code generation framework utilizing masked diffusion models.
  • Training and Alignment - Masked diffusion models optimized for code generation.

Star history

Star history chart for apple/ml-diffucoderStar history chart for apple/ml-diffucoder

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Frequently asked questions

What does apple/ml-diffucoder do?

This software project accompanies the research paper, DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation.

What are the main features of apple/ml-diffucoder?

The main features of apple/ml-diffucoder are: Applications, Training and Alignment.

Which projects share features with apple/ml-diffucoder?

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… amayama/xdlm. apple/ml-planner — PLANNER: Generating Diversified Paragraph via Latent Language Diffusion Model. autonomousvision/mdpo — [[Paper]](https://arxiv.org/pdf/2508.13148) [[Project]](https://cli212.github.io/MDPO/). bansky-cl/diffuspoll — This repository provides the official implementation of the following paper:. amap-ml/ar-map — Are Autoregressive Large Language Models Implicit Teachers for Diffusion Large Language Models? A comprehensive…

Projects sharing features with Ml Diffucoder

These projects share indexed features with Ml Diffucoder. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • chenyuwang-monica/drakesChenyuWang-Monica avatar

    ChenyuWang-Monica/DRAKES

    72View on GitHub↗

    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,…

    Python
    View on GitHub↗72
  • amayama/xdlmA

    Amayama/XDLM

    0View on GitHub↗
    View on GitHub↗0
  • apple/ml-plannerapple avatar

    apple/ml-planner

    60View on GitHub↗

    PLANNER: Generating Diversified Paragraph via Latent Language Diffusion Model

    Python
    View on GitHub↗60
  • amap-ml/ar-mapAMAP-ML avatar

    AMAP-ML/AR-MAP

    24View on GitHub↗

    Are Autoregressive Large Language Models Implicit Teachers for Diffusion Large Language Models? A comprehensive framework for transferring alignment knowledge from AR-LLMs to Diffusion Models

    Python
    View on GitHub↗24
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