10 packages returned for Tags:"deep-learning"

Contains neural learning algorithms such as Levenberg-Marquardt, Parallel Resilient Backpropagation, initialization procedures such as Nguyen-Widrow and other neural network related methods. This package is part of the Accord.NET Framework.

Yolo Darknet Wrapper, Real-Time Object Detection (yolo core of AlexeyAB/darknet), CUDA 10.1

A lightweight library for neural networks that runs anywhere

F# extensions to simplify CNTK usage

Library for optimized Deep Learning models. The library is based on python's theano library and offers great tools to create deep learning models. Automatic gradient differentiation is available.

A lightweight library for neural networks that runs anywhere

FULL TensorFlow 1.15 for .NET with Keras. Build, train, checkpoint, execute models. Comparison with TensorFlowSharp: https://github.com/losttech/Gradient/#why-not-tensorflowsharp Comparison with TensorFlow.NET: https://github.com/losttech/Gradient/#why-not-tensorflow-net Allows building arbitrary... More information

C# library for easy Deep Learning and Deep Reinforcement Learning. It is wrapper over C# CNTK API. Has implementation of layers (LSTM, Convolution etc.), optimizers, losses, shortcut-connections, sequential model, sequential multi-output model, agent teachers, policy gradients, actor-critic etc.... More information

FULL TensorFlow 1.15 for .NET with Keras. Build, train, checkpoint, execute models. Comparison with TensorFlowSharp: https://github.com/losttech/Gradient/#why-not-tensorflowsharp Comparison with TensorFlow.NET: https://github.com/losttech/Gradient/#why-not-tensorflow-net Allows building arbitrary... More information

SIREN neural network (https://vsitzmann.github.io/siren/). Network with sine activations, perfect for neural representations of various signals: images, video, audio. SOTA 2020. See project page for usage example.