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3 dépôts

Awesome GitHub RepositoriesKernel Configuration Utilities

Utilities for configuring and mapping specific kernel implementations, features, or drivers within a software build.

Explore 3 awesome GitHub repositories matching artificial intelligence & ml · Kernel Configuration Utilities. Refine with filters or upvote what's useful.

Awesome Kernel Configuration Utilities GitHub Repositories

Trouvez les meilleurs dépôts grâce à l'IA.Nous recherchons les dépôts les plus pertinents grâce à l'IA.
  • huggingface/transformersAvatar de huggingface

    huggingface/transformers

    161,630Voir sur GitHub↗

    Transformers is a comprehensive library for machine learning that provides a unified interface for training, fine-tuning, and deploying transformer-based models. It supports a wide range of tasks, including text classification, language modeling, question answering, and sequence-to-sequence translation, while offering specialized architectures for both text and vision processing. The framework includes tools for managing the entire model lifecycle, from data preprocessing and tokenization to distributed training and inference. The library features extensive support for model optimization and

    Maps specific kernel implementations to model layers, enabling device-specific selection and local filesystem loading.

    Pythonaudiodeep-learningdeepseek
    Voir sur GitHub↗161,630
  • d2l-ai/d2l-enAvatar de d2l-ai

    d2l-ai/d2l-en

    29,001Voir sur GitHub↗

    This project is an educational platform and research toolkit designed to teach deep learning through a combination of mathematical theory, visual diagrams, and executable code. It provides a comprehensive environment for building, training, and evaluating neural networks, grounding complex concepts in interactive computational notebooks that allow for hands-on experimentation. The framework distinguishes itself by interleaving theoretical foundations—including linear algebra, calculus, and probability—with practical implementations across multiple industry-standard libraries. It supports flex

    Specifies model generalization properties by selecting covariance functions to define function space behavior.

    Pythonbookcomputer-visiondata-science
    Voir sur GitHub↗29,001
  • freebsd/freebsd-srcAvatar de freebsd

    freebsd/freebsd-src

    9,162Voir sur GitHub↗

    This repository contains the complete source code for a Unix-like operating system, including the monolithic kernel and base system utilities. It provides a BSD-derived system core and a full build toolchain required to compile a functional operating system for servers, desktops, or embedded devices. The system features a Linux binary compatibility layer that enables the execution and emulation of Linux binaries on a non-Linux platform. It also includes a modular kernel configuration process to tailor hardware support and system features during compilation. The project covers broad system ca

    Provides utilities for configuring kernel implementations, drivers, and features within the system build.

    C
    Voir sur GitHub↗9,162
  1. Home
  2. Artificial Intelligence & ML
  3. Machine Learning
  4. Infrastructure
  5. Optimization & Inference
  6. Performance Optimizations
  7. Kernel Configuration Utilities

Explorer les sous-tags

  • Gaussian Process KernelsConfigurable kernel functions used to define the structural properties and smoothness of latent functions in Gaussian processes. **Distinct from Kernel Configuration Utilities:** Distinct from Kernel Configuration Utilities: focuses on statistical modeling kernels for Gaussian processes rather than system-level kernel drivers.