Popular GitHub Repositories for Multilayer

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.

Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.

Implementation of gMLP, an all-MLP replacement for Transformers, in Pytorch

Implementation of Segformer, Attention + MLP neural network for segmentation, in Pytorch

Implementing multilayer neural networks through backpropagation using Java.

Fake Image Detection Using Machine Learning

A micro neural network multilayer perceptron for MicroPython (used on ESP32 and Pycom modules)

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

Pytorch Implementation of Stochastic MuZero for gym environment. This algorithm is capable of supporting a wide range of action and observation spaces, including both discrete and continuous variations.

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.

[ICMLSC 2018] On Breast Cancer Detection: An Application of Machine Learning Algorithms on the Wisconsin Diagnostic Dataset

A GPT, made only of MLPs, in Jax

The goal of this project is to solve the task of name transcription from handwriting images implementing a NN approach.

EDUX is a developer friendly Java library for machine learning educational tasks

Low dependency（C++11 STL only）, good portability, header-only, deep neural networks for embedded

Prediction google trace data using Functional Link Neural Network and Optimization Algorithms such as GA, PSO, ABC,...

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

MGCN: Semi-supervised Classification in Multi-layer Graphs with Graph Convolutional Networks

JavaScript implementation of simple multilayer perceptron (MLP)

This code implements a basic MLP for speech recognition. The MLP is trained with pytorch, while feature extraction, alignments, and decoding are performed with Kaldi. The current implementation supports dropout and batch normalization. An example for phoneme recognition using the standard TIMIT dataset is provided.