Python Data Science Handbook: full text in Jupyter Notebooks

Learn how to design, develop, deploy and iterate on production-grade ML applications.

The fastai deep learning library

A collection of various deep learning architectures, models, and tips

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

A collection of pre-trained, state-of-the-art models in the ONNX format

Toturials coming with the "data science roadmap" picture.

Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

Plain python implementations of basic machine learning algorithms

A complete course for learning Bitcoin programming and usage from the command

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

¡Camino a una educación autodidacta en Ciencia de Datos!

A repo for the pre-course work at home exercises

Tabular feature encoding pipelines for machine learning with options for string parsing, missing data infill, and stochastic perturbations.

PyTorch Implementations of Coursera's Deep Learning(deeplearning.ai) Specialization

Lectures and notes for a summer course on DS, ML, and AI

Multiple reinforcement learning examples, experiments and tests

Accompanying code to "Investigating the Impact of Audio States & Transitions for Track Sequencing in Music Streaming Sessions" using Tensorflow Probability

Inteligencia Artificial que resuelve sudokus realizado como reto del Club de Inteligencia Artificial

Algunos apuntes sobre computación cuántica con Qiskit