Motor Imagery EEG Signal Classification Using Random Subspace Ensemble Network

JavaScript前向神经网络(推理)和反向传播(训练)的实现

A micro scalar-valued Autograd engine developed with java, and a neural net library on top of it.

A simple neural network with backpropagation used to recognize ASCII coded characters

Work in progress of Finite Dimensional Matching for Neural SDEs implementation.

Simple Neural Net implementation in Haskell

This project contains many topics inside. Please check the video link below for details

Integrative Biomechanical and Clinical Features Predict In-Hospital Trauma Mortality

Deploying the Super-Resolution-Convolutional-Neural-Network (SRCNN) algorithm to make a high-resolution image from a low-resolution image.

A Data Science Portfolio for potentially interested employers and recruiters.

Built from scratch neural network library using only NumPy

The project involves building models for scoring & segregating users acccording to certain threshold criteria based on features from LinkedIn on threshold criteria-refer ReadMe.

Class projects

Simple self-written ANN powered by NumPy to classify handwritten digits of the famous MNIST Dataset. ✍️

Dense neural network with variable number of layers and sizes, state saving and loading. Kept as simple as possible.

A Go library for creating, training, and using multilayer perceptron neural networks.