naomifridman Goto Github PK

attention-gated-networks

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

bazel

a fast, scalable, multi-language and extensible build system

breast-dce-mri-completed-annotations-

cloud-bigtable-examples

Examples of how to use Cloud Bigtable both with GCE map/reduce as well as stand alone applications.

convlstm_pytorch

Implementation of Convolutional LSTM in PyTorch.

cs-230

data-science-for-covid-19

COVID-19 Korea Dataset & Comprehensive Medical Dataset & visualizer

datasharing

The Leek group guide to data sharing

deep-vae-prediction-of-churn-customer

Variational deep autoencoder to predict churn customer

deeplearning_timeseries_introduction

Deep Learning Time series introduction. Lecture given in Data Nights event

deeplearningimplementations

Implementation of recent Deep Learning papers

demand_forecast

dl_classification_tutorial

dl_classification_tutorial

dl_utils

python utilities for deep learning and machine learning projects

dockers_gcloud

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.

facebook_mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

fastmaskrcnn

Mask RCNN in TensorFlow

fetus_stress_detection_fhr_uc

Machine learning, Deep learning and signal processing for detecting fetal stress from Electronic Fetal Monitoring

html5-canvas-drawing-app

Sketchpad app using html5 canvas to draw using touch or mouse, works on iOS, Android, Window Phone and browser

iceberg

Project ICEBERG: Image Computing for Enhancing Breast Cancer Radiomics

img_utils

introduction_to_deep_learning

Introduction to Deep Learning with theory and coding examples

kaggle_severstal_steel_defect_detection

kaggle Severstal_Steel_Defect_Detection competition

kagle_2018_data_science_bowl

keras-mae-scalable-vision-learners

A TensorFlow 2.x implementation of Masked Autoencoders Are Scalable Vision Learners

keras-unet-collection

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.

learn_python_pandas

Data use cases EDA, demonstrated with pandas,numpy and maplotlib

lstm-autoencoder-for-anomaly-detection

AI deep learning neural network for anomaly detection using Python, Keras and TensorFlow

lstm-unet

lstm_networks

This is the code for "LSTM Networks - The Math of Intelligence (Week 8)" By Siraj Raval on Youtube