Skip to content
View ruwwww's full-sized avatar

Highlights

  • Pro

Block or report ruwwww

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please donโ€™t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this userโ€™s behavior. Learn more about reporting abuse.

Report abuse
ruwwww/README.md

Hi there ๐Ÿ‘‹

Here are some ideas to get you started:

  • ๐Ÿ”ญ Iโ€™m currently working on Unified Models
  • ๐Ÿ‘€ Iโ€™m also currently working on 3D Generation
  • ๐ŸŒฑ Iโ€™m currently learning Physics (Classical and Quantum)
  • ๐Ÿ‘ฏ Iโ€™m interested in High Performance Computing (HPC)
  • ๐Ÿฆ  I'm also interested in Computational Bio/Chem
  • ๐Ÿค” Iโ€™m looking for help with Compiler Engineering
  • ๐Ÿ’ฌ Ask me about Computer Vision and Natural Language Processing
  • ๐Ÿ—ฟ Iโ€™m looking to collaborate in System Design and DevOps
  • ๐Ÿ˜„ Pronouns: He/Him

Pinned Loading

  1. ComfyUI-Spectrum-sdxl ComfyUI-Spectrum-sdxl Public

    ComfyUI-Spectrum-SDXL is a custom node for ComfyUI that implements the Spectrum diffusion acceleration technique

    Python 49 2

  2. DMD2 DMD2 Public

    Forked from tianweiy/DMD2

    (NeurIPS 2024 Oral ๐Ÿ”ฅ) Improved Distribution Matching Distillation for Fast Image Synthesis

    Python

  3. MeanFlow MeanFlow Public

    Forked from zhuyu-cs/MeanFlow

    Pytorch implementation of MeanFlow on ImageNet and CIFAR10

    Python

  4. TwinFlow TwinFlow Public

    Forked from inclusionAI/TwinFlow

    Taming large-scale few-step training with self-adversarial flows! ๐Ÿ‘๐Ÿป

    Python

  5. REPA REPA Public

    Forked from sihyun-yu/REPA

    [ICLR'25 Oral] Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think

    Python

  6. RAE RAE Public

    Forked from bytetriper/RAE

    Official PyTorch Implementation of "Diffusion Transformers with Representation Autoencoders"

    Python