Name: naomi fridman
Type: User
Company: Data Scientist, self employed
Bio: MSc Applied Mathematics. Technion Haifa.
BSc Mathematics, Philosophy, Computer science. TLV University.
Machine Learning, Deep Learning.
Location: Tel Aviv Israel
Blog: https://www.linkedin.com/in/naomi-fridman/
naomi fridman's Projects
Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation
a fast, scalable, multi-language and extensible build system
Examples of how to use Cloud Bigtable both with GCE map/reduce as well as stand alone applications.
Implementation of Convolutional LSTM in PyTorch.
COVID-19 Korea Dataset & Comprehensive Medical Dataset & visualizer
The Leek group guide to data sharing
Variational deep autoencoder to predict churn customer
Deep Learning Time series introduction. Lecture given in Data Nights event
Implementation of recent Deep Learning papers
dl_classification_tutorial
python utilities for deep learning and machine learning projects
Build a docker image that streams twits to Mongodb base on location and word, run it on multiple vm with Kubernete cluster and query Mongodb with RoboMongo and mLab.
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
Mask RCNN in TensorFlow
Machine learning, Deep learning and signal processing for detecting fetal stress from Electronic Fetal Monitoring
Sketchpad app using html5 canvas to draw using touch or mouse, works on iOS, Android, Window Phone and browser
Project ICEBERG: Image Computing for Enhancing Breast Cancer Radiomics
Introduction to Deep Learning with theory and coding examples
kaggle Severstal_Steel_Defect_Detection competition
A TensorFlow 2.x implementation of Masked Autoencoders Are Scalable Vision Learners
The Tensorflow, Keras implementation of U-net, V-net, U-net++, UNET 3+, Attention U-net, R2U-net, ResUnet-a, U^2-Net, TransUNET, and Swin-UNET with optional ImageNet-trained backbones.
Data use cases EDA, demonstrated with pandas,numpy and maplotlib
AI deep learning neural network for anomaly detection using Python, Keras and TensorFlow
This is the code for "LSTM Networks - The Math of Intelligence (Week 8)" By Siraj Raval on Youtube