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40-algorithms-every-programmer-should-know

40 Algorithms Every Programmer Should Know, published by Packt

aiops-handbook

Collection of slides, repositories, papers about AIOps

aiops_platform

An Artificial Intelligence Platform for IT Operations.

arabert

Pre-trained Transformers for the Arabic Language Understanding and Generation (Arabic BERT, Arabic GPT2, Arabic Electra)

arabic-dialect-identification

Arabic Dialect Identification between 18 country-level Arabic dialects using QADI dataset and pretrained language model AraBERT

arabic-nlp-app

Arabic NLP app built on streamlit to showcase models

arabic_dialect_identification_nlp-aim-task

Arabic_Dialect_Identification_NLP-AIM-Task

arabicdialectclassification

Arabic Dialect Sentimenal Analysis

arabictextclassification

After collecting 40 thousand tweets and preprocessing it, I used word embeddings with arabert and tf-idf along with two neural network architectures and 5 machine learning algorithms. Due to the huge size of the dataset, I chose Amazon SageMaker to train the models

awesome-tensorflow

TensorFlow - A curated list of dedicated resources http://tensorflow.org

beginning-anomaly-detection-using-python-based-dl

Source Code for 'Beginning Anomaly Detection Using Python-Based Deep Learning' by Sridhar Alla and Suman Kalyan Adari

bert-extractive-summarizer

Easy to use extractive text summarization with AraBERT

big-data-use-case

The project aims at building a data platform for real time analytics of twitter stream data. The implementation will utilize big data technologies like Kafka, Spark Structured Streaming and Hive using JSON, CSV and PARQUET formats for storage. Finally visualize these tweets on tableau.

cdw

chart.js

Simple HTML5 Charts using the <canvas> tag

cms

A general purpose java cms

containerized-ai-for-anomaly-detection

AI neural network trained for anomaly detection is deployed as a containerized REST API

data-engineer-roadmap

Roadmap to becoming a data engineer in 2021

drone-face-tracking

exp-anomaly-detector-aiops

Using DNN for univariate time series anomaly detection over AIOps Competition dataset

farasa_desegmenter

Simple Script to undo Farasa Segmentation, compatible with AraBERT pre-segmentation

fifa-2018-world-cup-predictions

I used Machine Learning to make a Logistic Regression model using scikit-learn, pandas, numpy, seaborn and matplotlib to predict the results of FIFA 2018 World Cup.

functional

functional programming library for PHP

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.

introduction-to-data-science-in-python

Coursera | Introduction to Data Science in Python（University of Michigan）

keras

Deep Learning for humans

kubernetes

Production-Grade Container Scheduling and Management

laravel

⚡️ OpenAI PHP for Laravel is a supercharged PHP API client that allows you to interact with OpenAI API

llmspracticalguide

A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)

machine-learning-deployment

Launch machine learning models into production using flask, docker etc.