ck46/neuralisp

Neuralisp is a modular machine learning framework for Common Lisp, focused on deep learning models. It offers a high-performance tensor library, various neural network layers, activation functions, optimizers, and loss functions. Designed for rapid model creation, training, and testing across diverse tasks.

Common LispShell
This is stars and forks stats for /ck46/neuralisp repository. As of 10 May, 2024 this repository has 15 stars and 0 forks.

NeuraLisp NeuraLisp is a machine learning framework for Common Lisp, designed for ease of use and extensibility. It provides a modular implementation for building, training, and evaluating neural networks for various machine learning tasks. Features Core components for tensor operations, autograd, GPU support, and more A variety of layers, including linear, convolutional, recurrent, and attention-based layers Common activation functions like ReLU, Sigmoid, and Tanh Loss functions like mean squared...
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