Name: Andrew Jeremy Kiruluta
Type: User
Company: University of California, Berkeley
Bio: Data scientist with a strong mathematical background, modeling/algorithmic development generative models and reinforcement learning
Andrew Jeremy Kiruluta's Projects
Change Detection in a Pair of Images using Autoencoders with Automatic Co-Registration
Diffusion Model Based Change Detection in Remote Sensing Images
Fourier Transform Deep Networks
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
ML/Deep Learning Projects
This repository contains the implementation of a novel hybrid approach that integrates linear programming (LP) into the loss function of an unsupervised machine learning model. By leveraging the strengths of both optimization techniques and machine learning, this method provides a robust solution for solving complex optimization problems.
Machine Learning Techniques for Netflow
Tensorflow implementation of paper: Learning to Diagnose with LSTM Recurrent Neural Networks.
Notebooks for MXNet
Network Intrusion Detection KDDCup '99', NSL-KDD and UNSW-NB15
prediction of protein binding affinities with large language models
A Keras port of Single Shot MultiBox Detector
Code repository for TensorFlow Machine Learning Cookbook by Packt
Tensorflow Faster RCNN for Object Detection