Popular GitHub Repositories for Multilayer Perceptron

Plain python implementations of basic machine learning algorithms

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

Simple machine learning library / 簡單易用的機器學習套件

Implementing multilayer neural networks through backpropagation using Java.

Always sparse. Never dense. But never say never. A Sparse Training repository for the Adaptive Sparse Connectivity concept and its algorithmic instantiation, i.e. Sparse Evolutionary Training, to boost Deep Learning scalability on various aspects (e.g. memory and computational time efficiency, representation and generalization power).

Fake Image Detection Using Machine Learning

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

A single / multi layer / recurrent neural network written in Golang.

Official implementation of MLP Singer: Towards Rapid Parallel Korean Singing Voice Synthesis (IEEE MLSP 2021)

Basic Machine Learning implementation with python

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

[ICLR 2023] MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization

Final Project of the Udacity AI Programming with Python Nanodegree

This project provides implementations with Keras/Tensorflow of some deep learning algorithms for Multivariate Time Series Forecasting: Transformers, Recurrent neural networks (LSTM and GRU), Convolutional neural networks, Multi-layer perceptron

Stock price trend prediction with news sentiment analysis using deep learning

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.