Popular GitHub Repositories for Stochastic Gradient Descent

Black-box spike and slab variational inference, example with linear models

AdaHMG: A first-order stochastic optimization algorithm for time series data

Byzantine Resilient Federated Learning

Demo: Spiking Neural Network (SNN) using Generalised Linear Model (GLM)

This repo contains implementation of four different machine learning models for emotion classification on twitter data

Neural network-based character recognition using MATLAB. The algorithm does not rely on external ML modules, and is rigorously defined from scratch. A report is included which explains the theory, algorithm performance comparisons, and hyperparameter optimization.

A (failed) first attempt at a chess neural network

A chess AI which uses stochastic descent through a GAN architecture. (Superseded by StochChess)

Model to predict bank customer churn