Suhail Basalama
  • Bio
  • Publications
  • Talks
  • CV
  • Résumé
  • Talks
    • Dataflow Hardware Acceleration of DNNs with High-Level Synthesis
  • Publications
    • NoH: NoC Compilation in High-Level Synthesis
    • Stream-HLS: Towards Automatic Dataflow Acceleration
    • TAPA-CS: Enabling Scalable Accelerator Design on Distributed HBM-FPGAs
    • A Comprehensive Automated Exploration Framework for Systolic Array Designs
    • FlexCNN: An end-to-end framework for composing CNN accelerators on FPGA
    • Callipepla: Stream Centric Instruction Set and Mixed Precision for Accelerating Conjugate Gradient Solver
    • A Versatile Systolic Array for Transposed and Dilated Convolution on FPGA
    • A Customizable Domain-Specific Memory-Centric FPGA Overlay for Machine Learning Applications
    • SPAR-2: A SIMD Processor Array for Machine Learning in IoT Devices
  • Projects
  • 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
  • Projects
    • Pandas
    • PyTorch
    • scikit-learn
  • Experience
  • Teaching
    • Learn JavaScript
    • Learn Python

scikit-learn

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

scikit-learn is a Python module for machine learning built on top of SciPy and is distributed under the 3-Clause BSD license.

Last updated on Oct 26, 2023
Hugo Wowchemy Markdown
Suhail Basalama
Authors
Suhail Basalama
Ph.D. Candidate

← PyTorch Oct 26, 2023

© 2026 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.