khaledmaghnia Goto Github PK

100-days-of-code

Fork this template for the 100 days journal - to keep yourself accountable (multiple languages available)

2015

Public material for CS109

500-ai-machine-learning-deep-learning-computer-vision-nlp-projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

aapg_myaccount

adrpy

Aircraft Design Recipes in Python

ai-expert-roadmap

Roadmap to becoming an Artificial Intelligence Expert in 2020

ai_curriculum

Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.

ailab

Experience, Learn and Code the latest breakthrough innovations with Microsoft AI

air-pollution-monitoring-system

Air Pollution Monitoring System

airbnb-clone

Building the AIRBNB Clone app with REACT JS!

airconics

Rhino plugin for Aircraft Configuration through Integrated Cross-disciplinary Scripting

albert_zh

A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型

all-tensorflow-2020

An Acute Lymphoblastic Leukemia CNN based on the proposed architecture in the Acute Leukemia Classification Using Convolution Neural Network In Clinical Decision Support System paper, using the Acute Lymphoblastic Leukemia Image Database for Image Processing dataset. Project by Adam Milton-Barker.

app-flutter-travel-app

applied-deep-learning

Applied Deep Learning

applied-ml

Curated papers, articles & videos on data science & machine learning applied in production, with results.

applying-machine-learning-on-iot-data

In this tutorial, I am going to show you how to apply machine learning on data collected from your IoT endpoints , in our case it is nodemcu. In the previous tutorial, we already got data from nodemcu on google spreadsheet using google apps script api. We connected a temperatures sensor to nodemcu, and we were updating the data on the google spreadsheet. We will be using jupyter notebook in this tutorial and write a python code that will predict the future temperature data based upon the data history we have.

arithmeticencodingpython

Data Compression using Arithmetic Encoding in Python

article-resources

A repository for the source code, notebooks, data, files, and other assets used in the data science and machine learning articles on LearnDataSci

attrition-analysis-on-the-hr-department

The rate of attrition or the inverse retention rate is the most commonly used metric while trying to analyze attrition. The attrition rate is typically calculated as the number of employees lost every year over the employee base. This employee base can be tricky however. Most firms just use a start of year employee count as the base. Some firms calculate it on a rolling 12 month basis to get a full year impact. This ratio becomes harder to use if your firm is growing its employee base. For example, let's say on Jan 1st of this year there were 1000 employees in the firm. Over the next 12 months we've lost 100 employees. Is it as straight forward as a 10% attrition rate. Where it gets fuzzy is how many of those 100 employees that were lost were in the seat on Jan 1st. Were all the 100 existing employees as of Jan 1st or were they new hires during the year that termed. Hence the attrition rate must be looked at in several views.

auto_nlp-using-autoviml

This repository is saved to display an amazing Auto_NLP work, using AutoViml library for Amazon sentiment Analysis. A efficient library to extract features, execute tokenization, finding efficient hyperparameters, which result into most Accurate output

autodrive

A small implementation that mimics Tesla's autopilot for Full Self Driving.

autonomousdrivingcookbook

Scenarios, tutorials and demos for Autonomous Driving

awesome-gcp-certifications

Google Cloud Platform Certification resources.

awesome-hacking-resources

A collection of hacking / penetration testing resources to make you better!

awesome-iot-projects

Awesome IoT Projects. A collaborative list of great resources about IoT Demos

awesome-java

A curated list of awesome frameworks, libraries and software for the Java programming language.

aws-machine-learning-university-accelerated-cv

Machine Learning University: Accelerated Computer Vision Class

aws-machine-learning-university-accelerated-nlp

Machine Learning University: Accelerated Natural Language Processing Class

awsls

A list command for AWS resources