3 مستودعات
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.
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.
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.
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.