Machine Learning Engineering Open Book

Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

Multivariate Time Series Transformer, public version

Tutorial Sessions for SciPy Con 2019

Think DSP: Digital Signal Processing in Python, by Allen B. Downey.

Supplemental materials for my OReilly project, the Python Data Science Handbook

Introduction to python use in geosciences.

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 ;)

Fast, flexible and easy to use probabilistic modelling in Python.

Bayesian Reinforcement Learning in Tensorflow

A course in numerical methods with Python for engineers and scientists: currently 5 learning modules, with student assignments.

Text and supporting code for Modeling and Simulation in Python

Notebooks for "Python for Signal Processing" book

Gaussian processes in TensorFlow

Basic Well Log Interpretation with python, pandas, matplotlib

Repo for all my talks (slides and code)

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

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.

Easy-to-run example notebooks for Dask

Data Science Using Python

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

Visualize Mohr Circle and Failure Envelope

Serves the documentation for the last release of the "fatiando" library.

Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]

analysis of continuous fluid inclusion - gas analysis data from geothermal wells