cbovar / ConvNetSharpLinks
Deep Learning in C#
☆470Updated 8 months ago
Alternatives and similar repositories for ConvNetSharp
Users that are interested in ConvNetSharp are comparing it to the libraries listed below
Sorting:
- A TensorFlow-inspired neural network library built from scratch in C# 7.3 for .NET Standard 2.0, with GPU support through cuDNN☆560Updated 2 years ago
- Keras# initiated as an effort to port the Keras deep learning library to C#, supporting both TensorFlow and CNTK☆244Updated 4 years ago
- Machine learning for C# .Net☆399Updated 6 months ago
- Keras.NET is a high-level neural networks API for C# and F#, with Python Binding and capable of running on top of TensorFlow, CNTK, or Th…☆621Updated 2 years ago
- ManagedCUDA aims an easy integration of NVidia's CUDA in .net applications written in C#, Visual Basic or any other .net language.☆493Updated 6 months ago
- C#/F# bindings for NumPy - a fundamental library for scientific computing, machine learning and AI☆740Updated 5 months ago
- Emgu TF is a cross platform .Net wrapper for the Google Tensorflow library. Allows Tensorflow functions to be called from .NET compatible…☆221Updated last week
- AForge.NET Framework is a C# framework designed for developers and researchers in the fields of Computer Vision and Artificial Intelligen…☆1,134Updated last year
- .NET bindings for PyTorch. Machine Learning with C# / F# with Multi-GPU/CPU support☆287Updated 6 years ago
- Deep Learning with C# and CNTK☆117Updated 6 years ago
- This is a configurable Neural Network written in C#. The Network functionality is completely decoupled from the UI and can be ported to …☆280Updated 3 years ago
- SharpNEAT - Evolution of Neural Networks. A C# .NET Framework.☆411Updated last month
- Bright Wire is an open source machine learning library for .NET with GPU support (via CUDA)☆127Updated last week
- Examples of C# code compiled to GPU by hybridizer☆242Updated last year
- ☆427Updated 6 years ago
- Practical examples written in SciSharp's machine learning libraries