Top 20 NuGet deep Packages

C# bindings for Keras on OSX - Keras.NET is a high-level neural networks API, capable of running on top of TensorFlow, CNTK, or Theano.
C# bindings for Keras on Linux - Keras.NET is a high-level neural networks API, capable of running on top of TensorFlow, CNTK, or Theano.
C# Binding for the Apache MxNet library. NDArray, Symbolic and Gluon Supported MxNet is a deep learning framework designed for both efficiency and flexibility. It allows you to mix symbolic and imperative programming to maximize efficiency and productivity. At its core, MXNet contains a dynamic dep...
TorchSharp makes PyTorch available for .NET users. libtorch-cuda-10.2 contains components of the PyTorch LibTorch library version 1.7.0 redistributed as a NuGet package with added support for TorchSharp.
.NET Bindings for Torch. Requires reference to one of libtorch-cpu, libtorch-cuda-12.1, libtorch-cuda-12.1-win-x64 or libtorch-cuda-12.1-linux-x64 version 2.4.0.0 to execute.
TorchSharp makes PyTorch available for .NET users. libtorch-cpu contains components of the PyTorch LibTorch library version 2.4.0 redistributed as a NuGet package with added support for TorchSharp.
Integration for Catalyst to run spaCy models from C#.
Safe deep deletion, like 'rm -rf' as a .NET Core Global Tool
DeepClone, Serialize & Deserialize extension methods, useful for testing.
Deep learning library for F#. Provides symbolic model differentiation, automatic differentiation and compilation to CUDA GPUs. Includes optimizers and model blocks used in deep learning. Make sure to set the platform of your project to x64.
Object Extensions can be used to: (1) Create flattend structures (2) Compare or Combine two objects (3) Get or Set member values (4) Deep Clone (5) Save (text file,S3) object graph (6) Get metadata (7) Get type information (8) Create instance (9) Copy to another object (10) Snapshots Visit the pr...
Deep Extend (deep-extend) binding library for Bridge.NET projects.
C# Binding for the Apache MxNet library with some high level API defined in MxNet.NN. MxNet is a deep learning framework designed for both efficiency and flexibility. It allows you to mix symbolic and imperative programming to maximize efficiency and productivity. At its core, MXNet contains a dyna...
Assert a result to an expected value and provide the diff
A .NET object-mapper useful to deep-copy an object, or transform (map) an object of a certain type to another type.
Developing a C# wrapper to help developer easily create and train deep neural network models. Easy to use library, just focus on research Multiple backend - ArrayFire (In Progress), TensorSharp (In Progress), CNTK (Not Started), TensorFlow (Not Started), MxNet (Not Started) CUDA/ OpenCL support for...
Torch.NET brings the awesome Python package PyTorch to the .NET world. PyTorch offers Tensor computations and more with efficient GPU or multi-core CPU processing support and is to be considered one of the fundamental libraries for scientific computing, machine learning and AI in Python. Torch.NET e...
WordNet extension data for Catalyst
ConceptNet extension for Catalyst. You need to install your language packages as well, such as Catalyst.ConceptNet.English
Bulgarian language pack for the Catalyst.ConceptNet package.