Awesome C Cpp Projects
Section: 框架 · 微软认知工具包(CNTK),一个开源深度学习工具包
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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.
Section: 框架 · 微软认知工具包(CNTK),一个开源深度学习工具包
Section: Artificial Intelligence · Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit. [Boost]
Section: Frameworks
Section: C++ · Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
Section: C++ · 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.
Section: Machine Learning Frameworks · Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit (archived)
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.
(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.
(from Hpcaitech) - A Unified Deep Learning System for Large-Scale Parallel Training (1D, 2D, 2.5D, 3D and sequence parallelism, and ZeRO protocol).
Official TensorFlow repository of state-of-the-art (SOTA) models and modeling solutions. Contains reference implementations for BERT, ResNet, Transformer, and many more with pre-trained weights and training scripts. Apache 2.0 licensed.
(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
Unsupervised learning on graphs. PyTorch Geometric - Graph representation learning with PyTorch. DLG - Graph representation learning with TensorFlow.
Enterprise-grade programming engine aimed to satisfy most of the backend development requirements.