Collection of language identification libraries for .NET
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Updated
Jul 15, 2024 - C#
Collection of language identification libraries for .NET
Offers Neural Network Recognition (Yolov3) of IP Camerafeeds and signalling
Neural Network from scratch in C# with CUDA support
Monocular depth estimation library based on deep neural networks and ONNX runtime
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.
A new library for all of the newest ai algorithms
Cloth segmentation library based on deep neural networks and ONNX runtime
Not Suitable for Work (NSFW) recognition library based on deep neural networks and ONNX runtime
Sharp Grad is a lightweight automatic differentiation library in C#. It's suitable for implementing machine learning algorithms, scientific computations, and any applications that require gradient-based optimization.
[WIP] Object recognition and analytics library based on deep neural networks and ONNX runtime
Desktop Agent for Windows
Portable Deep Learning Library for .NET
My potentially useful dynamic link library that may be depended upon by my other projects and software. Feel free to use in any project if anything here seems useful.
Character recognition with Hamming & Hebb neural networks
This project explores car infotainment control with gestural interfaces. Using Python neural networks and Unity, it interprets hand landmarks for intuitive control. With minimal data collection and high customizability, users can train the system with their gestures, ensuring a personalized and safe driving experience.
SharpNEAT - Evolution of Neural Networks. A C# .NET Framework.
.NET/C# implementation of back propagation to train a network to read the MNIST characters dataset. Neat visualizations of the network as it trains.
Neural Network training library in C++ and C# with GPU acceleration
CryptoNets is a demonstration of the use of Neural-Networks over data encrypted with Homomorphic Encryption. Homomorphic Encryptions allow performing operations such as addition and multiplication over data while it is encrypted. Therefore, it allows keeping data private while outsourcing computation (see here and here for more about Homomorphic E
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