Ryan Pégoud
  • Bio
  • Experience
  • Publications
  • Articles
  • Blog
    • Learning Triton One Kernel at a Time: Softmax
    • Cutting LLM Memory by 84%: A Deep Dive into Fused Kernels
    • Learning Triton One Kernel at a Time: Softmax
    • Learning Triton One Kernel At a Time: Matrix Multiplication
    • Learning Triton One Kernel At a Time: Vector Addition
    • Rainbow: The Colorful Evolution of Deep Q-Networks 🌈
    • A Practical Guide to Proximal Policy Optimization in JAX 📈
    • A Gentle Introduction to Deep Reinforcement Learning in JAX 🕹️
    • Implementing a Transformer Encoder from Scratch with JAX and Haiku 🤖
    • Vectorize and Parallelize RL Environments with JAX: Q-learning at the Speed of Light⚡
    • Temporal-Difference Learning and the Importance of Exploration: An Illustrated Guide⏱️
  • Publications
    • Syllabus: Portable Curricula for Reinforcement Learning Agents (Outstanding Paper Award)
    • Better Gradient Steps for Deep On-Policy Reinforcement Learning
  • Projects
    • Pandas
    • PyTorch
    • scikit-learn
  • Experience

Pandas

Oct 26, 2023 · 1 min read
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Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures.

Last updated on Oct 26, 2023
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Ryan Pégoud
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Ryan Pégoud
PhD Candidate (BMW ProMotion)
PyTorch Oct 26, 2023 →

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