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Apache MXNet is a deep learning framework and distributed machine learning library designed for training and deploying neural networks across distributed systems, mobile devices, and hardware accelerators. It functions as a cross-platform runtime and a dynamic dataflow scheduler that optimizes neural network execution. The framework provides a multi-language API, enabling the development of machine learning models using Python, R, Julia, Scala, Go, and JavaScript. It supports high-performance model training and the scaling of workloads across multiple GPUs and machines. The system covers cap
simple neural network library in ANSI C
A lightweight header-only library for using Keras (TensorFlow) models in C++.
A GPU (CUDA) based Artificial Neural Network library
The main features of annetgpgpu/annetgpgpu are: Artificial Intelligence, Machine Learning and AI.
Projects with overlapping indexed features include: codeplea/genann — simple neural network library in ANSI C. flashlight/flashlight — Flashlight is a standalone C++ machine learning library and tensor library used for building and training neural… aigamedev/btsk — Behavior Tree Starter Kit. apache/incubator-mxnet — Apache MXNet is a deep learning framework and distributed machine learning library designed for training and deploying… dobiasd/frugally-deep — A lightweight header-only library for using Keras (TensorFlow) models in C++. justmarkham/scikit-learn-videos — This project is a collection of interactive Jupyter notebooks and a structured machine learning tutorial series. It…
