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...
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/
A complete C# re-write of Berkeley's open source Convolutional Architecture for Fast Feature Encoding (CAFFE) for Windows C# Developers with full On-line Help, now with Seq2Seq/Attention, Single-Shot MultiBox, TripletNet, SiameseNet, NoisyNet, Deep Q-Network and Policy Gradient Reinforcement...
DyNet is a neural network library developed by Carnegie Mellon University and many others. It is written in C++ (with bindings in Python and C#) and is designed to be efficient when run on either CPU or GPU, and to work well with networks that have dynamic structures that change for every training...