Found 26 packages
MenohSharp is a DNN inference library (C# binding for Menoh). If it runs on MacOSX, you need install Menoh form source code.
Giving Windows C# developers easy access to NVIDIA's CUDA.
Menoh is a DNN inference library.
Neural Network convenient implementation in C#
A TensorFlow-inspired neural network library built from scratch in C# 7.3 for .NET Standard 2.0, with GPU support through cuDNN and native memory management
Caffe: a fast open framework for deep learning. http://caffe.berkeleyvision.org/
Giving Windows C# developers easy access to the Arcade-Learning-Envrionment.
SDK for accessing Lucidtech AI Services
Giving Windows C# developers easy access to their WebCam.
DotTorch Core is the foundational .NET 8/9 library for high-performance tensor computations with full support for automatic differentiation (autograd), broadcasting, and computational graph tracing. Ideal for deep learning and scientific computing applications.
Linear regression classification
Low Light Enhancement Deeplearning Model Inference API
Hand Gesture Recognition Deeplearning Model Inference API
DotTorch Losses is the dedicated .NET 8/9 library providing a comprehensive set of loss functions for deep learning and machine learning tasks. This package integrates seamlessly with DotTorch.Core, enabling robust automatic differentiation and efficient tensor operations. The initial 9.0.0 release introduces key loss primitives such as MSE, Cross-Entropy, Binary Cross-Entropy, Huber, KL Divergence, NLL, and Hinge Loss with full support for broadcasting and reduction options.
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 Temporal Fusion Transformers, GPT, Seq2Seq/Attention, Single-Shot MultiBox, TripletNet, SiameseNet, NoisyNet, Deep Q-Network and Policy Gradient Reinforcement Learning, cuDNN LSTM Recurrent Learning, and Neural Style Transfer support!
Giving Windows C# developers easy access to simple graphing and charting.
DotTorch Layers is a high-performance, modular neural network layers library for .NET 8 and .NET 9. It includes core layers such as Linear, ReLU, Sequential, Dropout, Embedding, Sigmoid, SoftMax, Tanh, LeakyReLU, GELU, ELU, and Flatten. Advanced recurrent layers like RNN, LSTM, and GRU are also implemented, along with powerful Transformer layers. The package features normalization layers: LayerNorm (currently not optimized) and BatchNorm (optimized, with LayerNorm mode support). All layers seamlessly integrate with the DotTorch.Core autograd system, enabling automatic differentiation and backpropagation. Designed for ease of use, extensibility, and efficient execution on CPU and GPU devices. This library supports modern .NET frameworks and follows best practices for maintainability and performance in machine learning model construction.
OpenVINO C# API - A .NET wrapper for OpenVINO C API. Supports .NET Framework 4.6-4.8 and .NET 5-10. Cross-platform support for Windows, Linux, and macOS.