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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... More information

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... More information

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,... More information

DotTorch.Optimizers provides first-class implementations of gradient-based optimization algorithms for training neural networks in .NET 8 and .NET 9 environments. The library includes essential optimizers... More information