• Stars
    star
    1
  • Language
    Jupyter Notebook
  • License
    MIT License
  • Created almost 7 years ago
  • Updated about 6 years ago

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

Implementations of different algorithms in Machine learning and Deep Learning found while I am teaching myself in different courses and tutorials

More Repositories

1

ArabicProcessingCog

A Python package that do stemming, tokenization, sentence breaking, segmentation, normalization, POS tagging for Arabic language.
Python
26
star
2

cheatsheets

Set of commands and code snippets used for quick reference.
Shell
4
star
3

Labeeb

A Deep Learning Library designed and developed to make sense
Python
3
star
4

learn-with-corey-schafer

Different pieces of code from Corey Schafer and other instructors
Python
2
star
5

learn-semantic-web

XSLT
1
star
6

learn-algorithms

Implementing different types of algorithms as I learn them
Python
1
star
7

Compilation-with-GCC-and-GNU-Make

Learn how to do Compilation with GCC and GNU Make
1
star
8

dbsrc

A website for the Center of Database and Software Research @ the Institute of Statistical Studies and Research
1
star
9

information-retrieval-system

Smalltalk
1
star
10

kgs

Python
1
star
11

arabic-speech-website

Website of the Arabic Speech Community
JavaScript
1
star
12

COMP-6321-Project

Course Project
HTML
1
star
13

Information-Theory-A-Tutorial-Introduction

The Python code comes with 'James V Stone' book called "Information Theory: A Tutorial Introduction"
Python
1
star
14

arwiki-data-extraction

C#
1
star
15

farspeech-website

Web interface for far-speech demo to be present in INTERSPEECH 2019
JavaScript
1
star
16

learn-statistics

Jupyter Notebook
1
star
17

ArabAgent

1
star
18

rest-api-tutorial

Python
1
star
19

VarDial-2016-paper

VarDial 2016 paper template for QCRI
TeX
1
star
20

MADAR-shared-task

This shared task will be the first to target a large set of dialect labels at the city and country levels. The data for the shared task is created or collected under the Multi-Arabic Dialect Applications and Resources (MADAR) project.
Jupyter Notebook
1
star