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applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

awesome-aws

A curated list of awesome Amazon Web Services (AWS) libraries, open source repos, guides, blogs, and other resources. Featuring the Fiery Meter of AWSome.

awesome-bigdata

A curated list of awesome big data frameworks, ressources and other awesomeness.

awesome-links

awesome-links

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-machine-learning-interpretability

A curated list of awesome machine learning interpretability resources.

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

bit-of-data-science-and-scikit-learn

Youtube tutorial associated content

causal_inference_python_code

Python code for part 2 of the book Causal Inference, by Miguel Hernán and James Robins

conformal-predictions-from-scratch

Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.

data-science-from-scratch

code for Data Science From Scratch book

data_driven_science_python_demos

IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by J. Nathan Kutz and Steven L. Brunton

dataaspirant_codes

Complete machine learning model codes

deep-learning-book

Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"

deep-learning-keras-tensorflow

Introduction to Deep Neural Networks with Keras and Tensorflow

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deeplearningbook-notes

Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)

dltfpt

Deep Learning with TensorFlow, Keras, and PyTorch

ds-template

Scaffold for new Data Science projects

from-0-to-research-scientist-resources-guide

Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.

handson-ml3

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-projects-using-python

Intelligent Projects Using Python, published by Packt

keras-machine-learning-deep-learning-tutorial

laboratory

llm-imdb

Proof of concept app using LangChain and LLMs to retrieve information from graphs, built with the IMDB dataset

machine-learning

Content for Udacity's Machine Learning curriculum

machine-learning-for-trading

Code for Machine Learning for Algorithmic Trading, 2nd edition.

master-thesis