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
Fourier Transform Deep Networks
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
ML/Deep Learning Projects
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