multilayer-perceptron

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

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

PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models

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

Network Intrusion Detection based on various machine learning and deep learning algorithms using UNSW-NB15 Dataset

Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification

GPT, but made only out of MLPs

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.

[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

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

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.

JavaScript implementation of simple multilayer perceptron (MLP)

Final Year project based upon Network Intrusion Detection System

Algorithms & Data Structures Guide

Multilayer perceptron deep neural network with feedforward and back-propagation for MNIST image classification using NumPy

Adversarial Machine Learning applications on network-based Intrusion Detection System (IDS).

yet another scalar autograd engine - featuring complex numbers and fixed DAG

Implementation of a digit recognition using my Neural Network with the MNIST data set.

Repository for "Inverse Kinematics of Tendon Driven Continuum Robots using Invertible Neural Network" (CompAuto 2022)