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12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Learn how to design, develop, deploy and iterate on production-grade ML applications.
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
10 Weeks, 20 Lessons, Data Science for All!
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.
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…
Data and code behind the articles and graphics at FiveThirtyEight
Code for Machine Learning for Algorithmic Trading, 2nd edition.
This repository contains demos I made with the Transformers library by HuggingFace.
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
CoreNet: A library for training deep neural networks
An adversarial example library for constructing attacks, building defenses, and benchmarking both
Simple tutorials using Google's TensorFlow Framework
The "Python Machine Learning (3rd edition)" book code repository
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collec…
A library for debugging/inspecting machine learning classifiers and explaining their predictions
Home for Elasticsearch examples available to everyone. It's a great way to get started.
A site that displays up to date COVID-19 stats, powered by fastpages.
🦘 Explore multimedia datasets at scale
Notebooks & Example Apps for Search & AI Applications with Elasticsearch
create sankey diagrams with matplotlib