Awesome C Cpp Projects
Section: 框架 · 在 Python 中具有强大 GPU 加速的张量和动态图神经网络框架
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Appears in 16 awesome lists
(label: good first issue) PyTorch is an open source machine learning library based on the Torch library, used for applications such as computer vision and natural language processing.
Section: 框架 · 在 Python 中具有强大 GPU 加速的张量和动态图神经网络框架
Section: AI & Machine Learning Platforms · Tensors and Dynamic neural networks in Python with strong GPU acceleration.
Section: Artificial Intelligence · Tensors and Dynamic neural networks in Python with strong GPU acceleration. website
Section: Tools · Deep learning framework with strong support for research and production.
Section: Deep Learning Packages
Section: Frameworks
Section: Python · (label: good first issue) PyTorch is an open source machine learning library based on the Torch library, used for applications such as computer vision and natural language processing.
Section: Frameworks for Training · Tensors and Dynamic neural networks in Python with strong GPU acceleration.
Section: Python · Tensors and Dynamic neural networks in Python with strong GPU acceleration
Section: 1. Core Frameworks & Libraries · Dynamic computation graphs, Pythonic API, dominant in research and production. The current standard for most frontier AI work.
Section: Computation and Communication Optimisation · PyTorch is a library to develop and train neural network based deep learning models.
Section: Deep Learning · Tensors and Dynamic neural networks in Python with strong GPU acceleration.
Section: PyTorch · Tensors and Dynamic neural networks in Python with strong GPU acceleration.
Section: Data Science · Tensors and Dynamic neural networks in Python with strong GPU acceleration
Section: Machine Learning Frameworks · Tensors and Dynamic neural networks in Python with strong GPU acceleration
Section: Fundamental libraries · | Python | - Tensors and Dynamic neural networks in Python with strong GPU acceleration
How to use the Hexagon Delegate to speed up model inference on mobile and edge devices. Also see blog post Accelerating TensorFlow Lite on Qualcomm Hexagon DSPs.
High-level, beginner-friendly API that now runs on multiple backends (TensorFlow, JAX, PyTorch). Perfect for rapid experimentation.
(3D) Navigation mesh generator and pathfinder, mostly for games. [zlib]
zap: - A toolkit for making real world machine learning and data analysis applications in C++. [Boost] website
A cloud-native platform for machine learning based on Google's internal machine learning pipelines.
The Computational Network Toolkit (CNTK) by Microsoft Research, is a unified deep-learning toolkit that describes neural networks as a series of computational steps via a directed graph.
Enterprise-grade programming engine aimed to satisfy most of the backend development requirements.