15 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.

A lightweight library for neural networks that runs anywhere

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.

F# extensions to simplify CNTK usage

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

A lightweight library for neural networks that runs anywhere

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 2.5+ for .NET with Keras. Build, train, checkpoint, execute models. Samples: https://github.com/losttech/Gradient-Samples, https://github.com/losttech/YOLOv4, https://github.com/losttech/Siren Deep learning with .NET blog: https://ml.blogs.losttech.software/ Comparison with... More information

Deep Learning pure .NET library.

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

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

Real-Time Object Detection network. TensorFlow-based implementation with support for fine-tuning and training from scratch.

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.

GPT-2 neural network (https://openai.com/blog/better-language-models/). GPT-2 translates text, answers questions, summarizes passages, and generates text output on a level is sometimes indistinguishable from that of humans. A .NET port of open-source artificial intelligence created by OpenAI.

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