Yangge Li @ UofI
  • Bio
  • Papers
  • Talks
  • Experience
  • Publications
    • Formal Verification Techniques for Vision-Based Autonomous Systems โ€“ A Survey
    • Assuring safety of vision-based swarm formation control
    • Refining perception contracts: Case studies in vision-based safe auto-landing
    • Verse: A python library for reasoning about multi-agent hybrid system scenarios
    • ARCH-COMP23 Category Report: Continuous and Hybrid Systems with Linear Continuous Dynamics
    • ARCH-COMP23 category report: Continuous and hybrid systems with nonlinear dynamics
    • Parallel and incremental verification of hybrid automata with ray and verse
    • Verification of โ„’1 Adaptive Control using Verse Library: A Case Study of Quadrotors
    • Industry-track: Challenges in rebooting autonomy with deep learned perception
    • Verifying controllers with vision-based perception using safe approximate abstractions
    • SceneChecker: Boosting scenario verification using symmetry abstractions
    • An example preprint / working paper
    • An example journal article
    • An example conference paper
  • Recent & Upcoming Talks
    • Visual Tracking with Intermittent Visibility: Switched Control Design and Implementation
    • Code-Level Verification for Autonomous Systems
  • Projects
  • Blog
    • ๐ŸŽ‰ Easily create your own simple yet highly customizable blog
    • ๐Ÿง  Sharpen your thinking with a second brain
    • ๐Ÿ“ˆ Communicate your results effectively with the best data visualizations
    • ๐Ÿ‘ฉ๐Ÿผโ€๐Ÿซ Teach academic courses
    • โœ… Manage your projects
  • Projects
    • Pandas
    • PyTorch
    • scikit-learn
  • Experience
  • Teaching
    • Learn JavaScript
    • Learn Python

Pandas

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

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures.

Last updated on Oct 26, 2023
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Yangge Li
Authors
Yangge Li
PhD Candidate

PyTorch Oct 26, 2023 →

ยฉ 2024 Me. This work is licensed under CC BY NC ND 4.0

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