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Tensor Computing Libraries · Awesome GitHub Repositories

4 repos

Awesome GitHub RepositoriesTensor Computing Libraries

Low-level libraries and utilities for tensor manipulation, memory management, and hardware-accelerated mathematical operations.

Explore 4 awesome GitHub repositories matching artificial intelligence & ml · Tensor Computing Libraries. Refine with filters or upvote what's useful.

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Awesome Tensor Computing Libraries GitHub Repositories

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  • tensorflow/tensorflow

    tensorflow/tensorflow

    193,864GitHubView on GitHub↗

    TensorFlow is a comprehensive machine learning framework designed for the construction, training, and deployment of complex mathematical models. It utilizes a graph-based execution model that represents operations as directed acyclic graphs, enabling automatic differentiation and efficient parallel processing. The syst

    C++deep-learningdeep-neural-networksdistributed
  • pytorch/pytorch

    pytorch/pytorch

    97,601GitHubView on GitHub↗

    PyTorch is a machine learning framework centered on a GPU-ready tensor library that supports multi-dimensional array operations across both CPU and accelerator hardware. It provides a foundational infrastructure for mathematical computation and dynamic neural network construction, utilizing a tape-based automatic diffe

    Pythonautograddeep-learninggpu
  • karpathy/nanoGPT

    karpathy/nanoGPT

    53,461GitHubView on GitHub↗

    nanoGPT is a lightweight engine for training and fine-tuning transformer-based language models from scratch. It provides a minimalist codebase designed for educational exploration and rapid experimentation with neural network architectures, utilizing self-attention and feed-forward layers to process sequences and predi

    Python
  • tensorflow/tfjs-examples

    tensorflow/tfjs-examples

    6,783GitHubView on GitHub↗

    This repository provides a collection of practical demonstrations and implementation guides for machine learning tasks using TensorFlow.js. It serves as a resource for developers to explore model architectures, training workflows, and data manipulation techniques across domains such as computer vision, natural language

    JavaScript

Explore sub-tags

  • Tensor Libraries3 sub-tagsSoftware libraries providing the fundamental data structures and mathematical functions required for high-dimensional array computations.
  • Tensor Memory ManagementSystems for allocating, tracking, and reclaiming memory used by large multidimensional arrays during computation.
  • Tensor Operations2 sub-tagsMethods for manipulating and transforming multidimensional data structures, including specialized handling for sparse or manual memory layouts.
Tensor Utilities1 sub-tagAuxiliary tools and helper functions that support the generation and management of tensor-based data.