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Type: User
copied https://github.com/nsadawi/
copied from Trusted-AI / AIF360 A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
copied from SeldonIO / alibi-detect Algorithms for outlier, adversarial and drift detection
:memo: An awesome Data Science repository to learn and apply for real world problems.
This repository contains the best Data Science free hand-picked resources to equip you with all the industry-driven skills and interview preparation kit.
joelgrus / data-science-from-scratch code for Data Science From Scratch book
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Curated list of Python resources for data science.
TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
trainindata / deploying-machine-learning-models Code for the online course "Deployment of Machine Learning Models"
List of Data Science Cheatsheets to rule the world
Source code for 'Finding Ghosts in Your Data' by Kevin Feasel
Free resources for learning data science
Hands-On Graph Neural Networks Using Python, published by Packt
https://github.com/ageron/handson-ml2/tree/master 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.
Intelligent Mobile Projects with TensorFlow, published by Packt
Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library
Public repo for DeepLearning.AI MLEP Specialization - https-deeplearning-ai / machine-learning-engineering-for-production-public
repository of all codes and documents
The Open Source Data Science Masters
copied from https://github.com/nsadawi/
Repo where I recreate some popular machine learning models from scratch in Python
Modern Generative AI with ChatGPT and OpenAI Models, published by Packt
This repo is for the Linkedin Learning course: Predictive Customer Analytics
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
copied from https://github.com/nsadawi/
Config files for my GitHub profile.
Code Files for the Udemy Course: The Complete Neural Networks Bootcamp: Theory, Applications
TinyML example showing how to do anomaly detection with Python and Arduino
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.