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altair

✨⚡️ A beautiful feature-rich GraphQL Client for all platforms.

an-efficient-character-recognition-scheme-based-on-k-means-clustering

An Efficient Character Recognition Scheme Based on K-Means Clustering

android-news-reader-app

In this project, an application is developed for collecting all the news around the world from different websites.

bluetooth-on-android

In this project all the basics for connecting Android devices over Bluetooth has been studied. Working with network sockets, multi-thread programming and file I/O were examples of topics studied during this project.

dealing-with-imbalanced-data

Using Imblearn To Tackle Imbalanced Data Sets

docker-stacks

Opinionated stacks of ready-to-run Jupyter applications in Docker.

graphql-apis

📜 A collective list of public GraphQL APIs

homogeneous-numbers

A simple algorithm to generate sum of homogeneous numbers. The numbers which their first half of digits sum to the same number as their second half.

huggingface_hub

All the open source things related to the Hugging Face Hub.

langchain

⚡ Building applications with LLMs through composability ⚡

let-s-have-lunch

Lunch

llm_over_your_pdf

mitie

MITIE: library and tools for information extraction

mleap

MLeap: Deploy Spark Pipelines to Production

movie-recommender-system

In this project we try to build a recommendation system for a movie ratings dataset.

number-of-islands-in-a-boolean-matrix

Number of Islands in a Boolean matrix

openalpr

Automatic License Plate Recognition library

openapi-specification

The OpenAPI Specification Repository

programming-exercises

:muscle: Efficient solutions and notes for programming exercises from sites like HackerRank and LeetCode

quantile-regression

Solving Quantile regression for a special case.

rasa_nlu

turn natural language into structured data

restful-api-testing

A simple framework to test REST APIs in Python

search-engine-with-spark-on-wikipedia

This is a very simple search engine build in Spark that does the full text search on Wikipedia. The basic idea is to practice Natural Language Processing and see how to build a search engine from scratch.

spacy

Industrial-strength Natural Language Processing with Python and Cython

spam-classifier

Simple Spam Classifier based on Naive Bayes

spotify-data

Analyzing Spotify music data. Just checking if there are prominent features separating users with their geographical or other user characteristics.

sql

SQL Basics with SQLite

titanic-survival

From a database of Titanic survivors we analyze the important factors in their survival rate.

zipf_law

Zipf's Law on Wikipedia Corpus