Xinyun Zhu
  • Bio
  • Papers
  • Awards
  • Experience
  • Projects
  • Projects
    • Pandas
    • PyTorch
    • scikit-learn
  • Experience
  • Awards
    • SPOTLIGHT POSTER AWARD
    • BCI AWARD NOMINEE
    • BEST POSTER AWARD
  • Blog
    • 🎉 Easily create your own simple yet highly customizable blog
    • 🧠 Sharpen your thinking with a second brain
    • 📈 Communicate your results effectively with the best data visualizations
    • 👩🏼‍🏫 Teach academic courses
    • ✅ Manage your projects
  • Publications
    • Human motor cortex encodes complex handwriting through a sequence of stable neural states
    • Adaptive brain-computer interface decoding method based on multi-model dynamic integration
    • Revealing unexpected complex encoding but simple decoding mechanisms in motor cortex via separating behaviorally relevant neural signals
    • Speed-enhanced Subdomain Alignment for Long-term Stable Neural Decoding in Brain-computer Interfaces
    • Tracking functional changes in nonstationary signals with evolutionary ensemble bayesian model for robust neural decoding
    • A brain-controlled mahjong game with artificial intelligence augmentation
    • Dynamic ensemble bayesian filter for robust control of a human brain-machine interface
  • Recent & Upcoming Talks
    • Example Talk
  • Teaching
    • Learn JavaScript
    • Learn Python

PyTorch

Oct 26, 2023 · 1 min read
Go to Project Site

PyTorch is a Python package that provides tensor computation (like NumPy) with strong GPU acceleration.

Last updated on May 13, 2025
Hugo Wowchemy Markdown
祝歆韵
Authors
祝歆韵
PhD Student
I explore how invasive brain-computer interfaces can decode movement intent and bring thoughts into action.
← Pandas Oct 26, 2023
scikit-learn Oct 26, 2023 →

© 2025 Me. This work is licensed under CC BY NC ND 4.0

Published with Hugo Blox Builder — the free, open source website builder that empowers creators.