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💭
I like Machine Learning
💭
I like Machine Learning
  • National Chengchi University
  • Taipei, Taiwan
  • 19:19 (UTC +08:00)

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vvvdwbvvv/README.md

Hi 👋

I build and study generative models, computer vision, and high-performance ML systems.

  • 🔬 Exploring diffusion models, flow matching, inverse problems, and image restoration
  • ⚡ Learning how modern models run efficiently through CUDA kernels and ML systems
  • 🧠 Reproducing papers and systems to understand them from first principles
  • 🛠️ Also interested in practical tools across Python, Go, and the web
  • 📫 The best way to reach me is through GitHub

Tech I work with

Languages

Python C++ Go JavaScript
  ML & Data

PyTorch NumPy Pandas OpenCV
  Systems & Tools

CUDA Docker Git Linux Neovim

GitHub contribution snake

Selected work

Project Focus What it explores
BlurDM Diffusion · Image restoration A blur diffusion model for image deblurring, published at NeurIPS 2025
FlowDPS Flow matching · Inverse problems Flow-driven posterior sampling for inverse problems, published at ICCV 2025
ID-Blau Diffusion · Deblurring Implicit diffusion-based reblurring augmentation, published at CVPR 2024
DeepSeekV3 MoE CUDA CUDA · ML systems CUDA work targeting DeepSeek-V3 mixture-of-experts workloads
forge-cute-py CuTe DSL · GPU kernels A workflow for implementing, validating, benchmarking, and profiling GPU kernels
AudioPilot LLMs · Computer vision An automatic flight-control system built around language and vision models

Pinned Loading

  1. linkedin/Liger-Kernel linkedin/Liger-Kernel Public

    Efficient Triton Kernels for LLM Training

    Python 6.5k 567

  2. pytorch pytorch Public

    Forked from pytorch/pytorch

    Tensors and Dynamic neural networks in Python with strong GPU acceleration

    Python

  3. flow_matching flow_matching Public

    Forked from facebookresearch/flow_matching

    A PyTorch library for implementing flow matching algorithms, featuring continuous and discrete flow matching implementations. It includes practical examples for both text and image modalities.

    Python

  4. stochastic-interpolants stochastic-interpolants Public

    Forked from malbergo/stochastic-interpolants

    Jupyter Notebook