Google code of Word2Vec in Gutemberg books.
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Updated
Aug 4, 2019 - C
Google code of Word2Vec in Gutemberg books.
Project for the Neural Networks course @cse.uoi.gr
Fast neural network with back propagation learning algorithm.
NPRACH UAD Neural Network implementation in Fixed point C.
This framework was part of the Diploma thesis titled "Architectures and Implementations of the Neural Network LeNet-5 in FPGAs". The main goal of this thesis was to create a LeNet-5 implementation in an FPGA development board, but also form a reusable framework/workflow which can be modified to model and develop other Neural Networks as well.
Software Development Kit for the Neural Compute Stick (fedora/centos port)
A simple single-header header-only "library" for neural networks written in C (C89)
simple recompilating neural networks framework
Feed-forward neural network implementation in C with SIMD instructions
Pure C tensor and autograd library for training neural networks
Insightful Neural Network Visualization in C
A (toy) tensor library in C
Light Learning for Embedded Systems (l24es) is a linear algebra library designed to abstract the most common machine learning mathematical operations for them to run on embedded devices.
Progetto DLA Mod. 1 - CdLM Informatica
A small autograd library made for educational purposes.
OSXtlearn: xtlearn wrapped in a MacOSX application bundle
Neuronio artificial simples
A simple feedforward neural network written in under 500 lines of C.
A basic and simple neural network written in C. It uses perceptron algorithm. For notes look at py-simple-neural-network
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