14 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

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