Mohammad Vali
  • Bio
  • Publications
  • Talks
  • News
  • Experience
  • Projects
  • Courses
  • Invited talks
    • Example Talk
  • Publications
    • DiVeQ: Differentiable Vector Quantization Using the Reparameterization Trick
    • Privacy Disclosure of Similarity Rank in Speech and Language Processing
    • Unsupervised Panoptic Interpretation of Latent Spaces in GANs Using Space-Filling Vector Quantization
    • Compressing 3D Gaussian Splatting by Noise-Substituted Vector Quantization
    • Vector Quantization in Deep Neural Networks for Speech and Image Processing
    • Privacy PORCUPINE: Anonymization of Speaker Attributes Using Occurrence Normalization for Space-Filling Vector Quantization
    • Low-Complexity Real-Time Neural Network for Blind Bandwidth Extension of Wideband Speech
    • Interpretable Latent Space Using Space-Filling Curves for Phonetic Analysis in Voice Conversion
    • Privacy and Quality Improvements in Open Offices Using Multi-Device Speech Enhancement
    • Stochastic Optimization of Vector Quantization Methods in Application to Speech and Image Processing
    • Introduction to Speech Processing
    • NSVQ: Noise Substitution in Vector Quantization for Machine Learning
    • End-to-End Optimized Multi-Stage Vector Quantization of Spectral Envelopes for Speech and Audio Coding
    • Optimized watermarking technique using self-adaptive differential evolution based on redundant discrete wavelet transform and singular value decomposition
  • Recent Publications
    • DiVeQ: Differentiable Vector Quantization Using the Reparameterization Trick
    • Privacy Disclosure of Similarity Rank in Speech and Language Processing
    • Unsupervised Panoptic Interpretation of Latent Spaces in GANs Using Space-Filling Vector Quantization
    • Compressing 3D Gaussian Splatting by Noise-Substituted Vector Quantization
    • Vector Quantization in Deep Neural Networks for Speech and Image Processing
    • Privacy PORCUPINE: Anonymization of Speaker Attributes Using Occurrence Normalization for Space-Filling Vector Quantization
    • Low-Complexity Real-Time Neural Network for Blind Bandwidth Extension of Wideband Speech
    • Interpretable Latent Space Using Space-Filling Curves for Phonetic Analysis in Voice Conversion
    • Privacy and Quality Improvements in Open Offices Using Multi-Device Speech Enhancement
    • Stochastic Optimization of Vector Quantization Methods in Application to Speech and Image Processing
    • Introduction to Speech Processing
    • NSVQ: Noise Substitution in Vector Quantization for Machine Learning
    • End-to-End Optimized Multi-Stage Vector Quantization of Spectral Envelopes for Speech and Audio Coding
    • Optimized watermarking technique using self-adaptive differential evolution based on redundant discrete wavelet transform and singular value decomposition
  • Selected_pubs
    • DiVeQ: Differentiable Vector Quantization Using the Reparameterization Trick
    • Unsupervised Panoptic Interpretation of Latent Spaces in GANs Using Space-Filling Vector Quantization
    • Interpretable Latent Space Using Space-Filling Curves for Phonetic Analysis in Voice Conversion
    • NSVQ: Noise Substitution in Vector Quantization for Machine Learning
  • Courses
    • Hugo Blox
      • Getting Started
      • Guide
        • Project Structure
        • Configuration
        • Formatting
          • Embed Media
          • Buttons
          • Callouts
          • Cards
          • Spoilers
          • Steps
      • Reference
        • Customization
        • Internationalization (i18n)
  • Projects
    • Pandas
    • PyTorch
    • scikit-learn
  • 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
  • Experience

scikit-learn

Oct 26, 2023 · 1 min read
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 HugoBlox Markdown
Mohammad Vali
Authors
Mohammad Vali
Postdoctoral Researcher
← PyTorch Oct 26, 2023

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

Made with Hugo Blox. Duplicate this template →