gaborstefanics

plotly-tutorial

This Jupyter Notebook condenses the Plotly API into one easy to use document with examples

deep-learning-with-python-notebooks

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

machine_learning_examples

A collection of machine learning examples and tutorials.

Mastering-Python-for-Finance-Second-Edition

Mastering Python for Finance – Second Edition, published by Packt

tesseract

Tesseract Open Source OCR Engine (main repository)

fin-ml

This github repository contains the code to the case studies in the O'Reilly book Machine Learning and Data Science Blueprints for Finance

drillbook

The Official Source Repository for Learning Apache Drill (O'Reilly, 2018)

handson-ml2

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.

introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

elegant-scipy

1st Edition of Elegant SciPy (O'Reilly Publishers)

pyAudioAnalysis

Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications

machine-learning-with-pyspark

Source Code for 'Machine Learning with PySpark' by Pramod Singh

facial-expression-recognition

Facial expression recognition deep learning examples

Python

All Algorithms implemented in Python

Effective-SQL

Deep-Learning-with-PyTorch

Deep Learning with PyTorch, published by Packt

statistics-for-data-scientists

Code and data associated with the book "Statistics for Data Scientists: 50 Essential Concepts"

matlab-deep-learning

Source code for 'MATLAB Deep Learning' by Phil Kim

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

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 ;)

handson-unsupervised-learning

Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media)

Anti-Money-Laundering-using-Keras

Utilize the deep learning library Keras to classify transactions as fraudulent(1) or non-fraudulent(0).

DLFS_code

Code for the book Deep Learning From Scratch, from O'Reilly September 2019

ThinkDSP

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

code-with-engineering-playbook

This is the playbook for "code-with" customer or partner engagements

hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

neurolib

Easy whole-brain modeling for computational neuroscientists 👩‍🔬💻🧠

notebooks

The compiled, clean (not run) Jupyter notebooks for Elegant SciPy

spark-deep-learning

Deep Learning Pipelines for Apache Spark

hyperas

Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization

mnelab

MNELAB - a graphical user interface (GUI) for MNE