gaborstefanics's repositories
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
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