tawabshakeel

explainx

Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are looking for co-authors to take this project forward. Reach out @ ms8909@nyu.edu

Surrogate-Rule-Exploration-Method

Easily explain the behavior of machine learning models using decision rules generated by decision trees. Work adapted from https://github.com/nyuvis/SuRE

dptron

mltrons dptron: Dirty Data in, Clean Data Out!

algorithm-ethics

A collection of resources and tools designed to provide guidelines for ethical modeling.

DataCamp-Projects

Data Camp Python Projects

devnation_ds

Document-similarity-NLP-

Natural Language Processing

Hands-on-Python-for-Finance

Hands-on Python for Finance published by Packt.

Neural-Networks-using-keras

Different Neural Networks using keras

PythonCompiler

Code used on "Writing your own programming language and compiler with Python" post

tawabshakeel/devnation_ds

tawabshakeel/algorithm-ethics

A collection of resources and tools designed to provide guidelines for ethical modeling.

tawabshakeel/Document-similarity-NLP-

Natural Language Processing

tawabshakeel/bia_testing

tawabshakeel/Data-science

Collection of useful data science topics along with code and articles

tawabshakeel/data-science-interviews

Data science interview questions and answers

tawabshakeel/deepface

A Lightweight Deep Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Framework for Python

tawabshakeel/DrWhy

DrWhy is the collection of tools for eXplainable AI (XAI). It's based on shared principles and simple grammar for exploration, explanation and visualisation of predictive models.

tawabshakeel/explainerdashboard

explainerdashboard is a python package for generating analytical dashboards that explain the inner workings of so-called "blackbox" machine learning models.

tawabshakeel/explainx

Explain & debug any machine learning model with a single line of code.

tawabshakeel/explainx_decision_tree

Easily explain the behavior of machine learning models using decision rules generated by decision trees. Work adapted from https://github.com/nyuvis/SuRE

tawabshakeel/Facial-Expression-Recognition.Pytorch

A CNN based pytorch implementation on facial expression recognition (FER2013 and CK+), achieving 73.112% (state-of-the-art) in FER2013 and 94.64% in CK+ dataset

tawabshakeel/interview-question-data-science-

tawabshakeel/jina

An easier way to build neural search in the cloud

tawabshakeel/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

tawabshakeel/lux

Python API for Intelligent Visual Data Discovery

tawabshakeel/mab2rec

Mab2Rec: Multi-Armed Bandits Recommender

tawabshakeel/mental-health-datasets

An evolving list of electronic media data sets used to model mental-health status.

tawabshakeel/mltrons-automl

tawabshakeel/NLP-BY-NRU

Natural Language processing by National Research University

tawabshakeel/NN-SVG

Publication-ready NN-architecture schematics.

tawabshakeel/preparations

tawabshakeel/rexmex

A general purpose recommender metrics library for fair evaluation.

tawabshakeel/Roadmap-To-Learn-Generative-AI-In-2024

tawabshakeel/Speech-Emotion-Analyzer

The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)

tawabshakeel/tawabshakeel

It is my portfolio

tawabshakeel/testing_bia

tawabshakeel/testing_push

tawabshakeel/whylogs-python

Profile and monitor your ML data pipeline end-to-end

tawabshakeel/XAI-papers