11785-project

Satellite Image Augmetation with GANs

any-inference

Run inference in any model using a message broker.

apple-leaf-disease-prediction

A web application to classify apple leaf disease using transfer learning with PyTorch and Flask

awesome-github-profile-readme

😎 A curated list of awesome GitHub Profile READMEs 📝

brain-tumor-detection-using-mask-r-cnn

cocoapi

COCO API - Dataset @ http://cocodataset.org/

coursera

Coursera Project

covid-19

COVID-19 Italia - Monitoraggio situazione

data-science-projects-with-python

data-science-projects-with-python-1

A Case Study Approach to Successful Data Science Projects Using Python, Pandas, and Scikit-Learn

deep-tumour-spheroid

docker_image_with_cuda10_cudnn7

Dockerfiles and manual for easy build of docker image with CUDA10.X and cuDNN7.6 to run TensorFlow/PyTorch on the nvidia GPU in docker-container.

dsin100days

This repository is created to provide access to the source code and presentation material that Colaberry has developed for the DS in 100 days program

emergingtechproject

Using Flask and tensorflow to upload image and decern what number is on the image

fabiogeraci

fastai_dev

fast.ai early development experiments

fastai_object_detection

fastbook

The fastai book, published as Jupyter Notebooks

fuel-consumption-end-to-end-ml

End to End Machine Learning Project on Fuel Consumption Prediction of 70s and 80s vehicles.

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

heroku

hydraulics

icevision

An Agnostic Computer Vision Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to come

image-classifier-web-app

A binary image classifier deployed with a flask web app

image_classification

Deep Learning implementation using TensorFlow for Image Classification

instance-segmenation-of-mri-scan-using-mask-rcnn

This project presents an implementation of instance segmentation to detect brain tumor from MRI scan.

kaggleplaygrounds

keras-flask-deploy-webapp

:smiley_cat: Pretty & simple image classifier app template. Deploy your own trained model or pre-trained model (VGG, ResNet, Densenet) to a web app using Flask in 10 minutes.

linkedin-skill-assessments-quizzes

Full reference of linkedin answers for skill assessments, linkedin test, questions and answers (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, css, python, machine-learning, power-poin, excel ...) ответы на квиз, LinkedIn quiz lösungen, linkedin quiz las respuestas

machine-learning-classifiers-comparison

I use a historical dataset from previous loan applications, I clean the data, and apply different classification algorithms on the data. I use the following algorithms to build my models: k-Nearest Neighbour, Decision Tree, Support Vector Machine, Logistic Regression. The results is reported as the accuracy of each classifier, using the following metrics when these are applicable: Jaccard index, F1-score, LogLoss