Popular GitHub Repositories for Multilayer Perceptron Network

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

Fake Image Detection Using Machine Learning

In this project is presented a simple method to train an MLP neural network for audio signals. The trained model can be exported on a Raspberry Pi (2 or superior suggested) to classify audio signal registered with USB microphone

Multi class audio classification using Deep Learning (MLP, CNN): The objective of this project is to build a multi class classifier to identify sound of a bee, cricket or noise.

Detection of IoT devices infected by malwares from their network communications, using federated machine learning

face recognition with deep learning

This is the implementation of a simulator that classifies 2D data into two classes or multi-classes using a multi-layer perceptron (MLP). It was developed using Visual C++ and it can be used for learning and understanding Artificial Neural Network concepts.

ML framework to predict interfacial waves behaviour

Build a loan default prediction model through machine learning

Deep learning models in Python

Classification and detection of lowercase Greek handwritten letters using a multilayer perceptron (MLP) artificial neural network (ANN)

Predicted Pore Pressure using a Multi-layer perceptron (MLP) artificial neural network.

Rumelhart and McClelland Neural Network

Multilayer Perceptron Neural Networks and Convolutional Neural Networks for fashion MNIST image data classification

Programming assignments and final project done as part of CS 280 (Intelligent Systems) course as taught in the University of the Philippines - Diliman