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A GPU (CUDA) based Artificial Neural Network library
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 Modern C++ Wrapper for TensorFlow
The main features of rdabra/txeo are: Artificial Intelligence, Machine Learning and AI, Frameworks and Libraries.
Open-source alternatives to rdabra/txeo include: 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++. aigamedev/btsk — Behavior Tree Starter Kit. annetgpgpu/annetgpgpu — A GPU (CUDA) based Artificial Neural Network library. 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…
