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... More information

A lightweight library for neural networks that runs anywhere

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... More information

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... 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... 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,... More information

Deep Learning pure .NET library.

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

TBD

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

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... 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... More information

Seq2SeqSharp is a tensor based fast & flexible encoder-decoder deep neural network framework written by .NET (C#). It can be used for sequence-to-sequence task, sequence-labeling task and... More information