⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

The fastai book, published as Jupyter Notebooks

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

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.

A crash course in six episodes for software developers who want to become machine learning practitioners.

Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the came…

I took Andrew Ng's Machine Learning course on Coursera and did the homework assigments... but, on my own in python because I love jupyter notebooks!

Dual LSTM Encoder for Dialog Response Generation

Democratizing Internet-scale financial data.

Python Helper library for Jupyter Notebooks

Gaussian Process Optimization using GPy

[NeurIPS 22] [AAAI 24] Recurrent Transformer-based long-context architecture.