MuZero

Modular Residual Networks implemented in TensorFlow. Easily change hyperparameters in a few lines.

Revisiting Residual Networks for Adversarial Robustness: An Architectural Perspective

Implementation of GoogLeNet series Algorithm

Implementation of ResNet series Algorithm

Code for paper: "Improved Residual Network Based on Norm-Preservation for Visual Recognition" https://doi.org/10.1016/j.neunet.2022.10.023

Deep Residual Transformer Neural Network (DRTNN)

🚗 Browser game where a vehicle is driven through the camera using the ResNet model (Residual Network) to estimate the position of the hands.

A reorganized collection of benchmarks from VNNCOMP since 2022, divided into three categories: fully connected, convolutional, and residual networks. Each category is available as a submodule, allowing you to download individual categories or all of them at once.

Python functions to create N-dimensional mechanical linkages consisting of struts and joints similar to the Strandbeest by Theo Jansen. The scripts allow one to treat the mechanical network of linkages between the struts as a non-linear neural net, which can be optimized to perform different functions. I call this a Rigid Neural Net (RigNN)

Parseval Networks and Adversarial Examples

accuracy ~ 91%

Bachelor Thesis of AI on banana state estimation using CNNs for waste reduction

Time Series Analysis: Accelerometer Sensors of Object Inclination and Vibration. Time Series Analysis by using different (State of Art Models) Machine and Deep Learning. Recurent Neural Network with CuDNNLSTM Model, Convolutional Autoencoder, Residual Network (ResNet) and MobileNet Model.