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.
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...
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....
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/
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.
SIREN neural network (https://vsitzmann.github.io/siren/).
Network with sine activations, perfect for neural representations of various signals: images, video, audio.
See project page for usage example.
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 sequence-classification task and other NLP tasks. Seq2SeqSharp supports both CPUs and GPUs. It's powered by .NET...