Pinned Repositories
AI-Reading-Materials
Some of the ML and DL related reading materials, research papers that I've read
Anti-Money-Laundering-using-Keras
Utilize the deep learning library Keras to classify transactions as fraudulent(1) or non-fraudulent(0).
bambi
BAyesian Model-Building Interface (BAMBI) in Python.
bandicoot
an open-source python toolbox to analyze mobile phone metadata
basemap
Brancher
A user-centered Python package for differentiable probabilistic inference
cbm
code-with-engineering-playbook
This is the playbook for "code-with" customer or partner engagements
coursera
Data-Science-for-Dummies
Companion Files: Data Science for Dummies
gaborstefanics's Repositories
gaborstefanics/Anti-Money-Laundering-using-Keras
Utilize the deep learning library Keras to classify transactions as fraudulent(1) or non-fraudulent(0).
gaborstefanics/code-with-engineering-playbook
This is the playbook for "code-with" customer or partner engagements
gaborstefanics/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
gaborstefanics/Deep-Learning-with-PyTorch
Deep Learning with PyTorch, published by Packt
gaborstefanics/DLFS_code
Code for the book Deep Learning From Scratch, from O'Reilly September 2019
gaborstefanics/drillbook
The Official Source Repository for Learning Apache Drill (O'Reilly, 2018)
gaborstefanics/Effective-SQL
gaborstefanics/elegant-scipy
1st Edition of Elegant SciPy (O'Reilly Publishers)
gaborstefanics/facial-expression-recognition
Facial expression recognition deep learning examples
gaborstefanics/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
gaborstefanics/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.
gaborstefanics/handson-unsupervised-learning
Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media)
gaborstefanics/hyperas
Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization
gaborstefanics/hyperopt
Distributed Asynchronous Hyperparameter Optimization in Python
gaborstefanics/introduction_to_ml_with_python
Notebooks and code for the book "Introduction to Machine Learning with Python"
gaborstefanics/machine-learning-with-pyspark
Source Code for 'Machine Learning with PySpark' by Pramod Singh
gaborstefanics/machine_learning_examples
A collection of machine learning examples and tutorials.
gaborstefanics/Mastering-Python-for-Finance-Second-Edition
Mastering Python for Finance – Second Edition, published by Packt
gaborstefanics/matlab-deep-learning
Source code for 'MATLAB Deep Learning' by Phil Kim
gaborstefanics/mnelab
MNELAB - a graphical user interface (GUI) for MNE
gaborstefanics/neurolib
Easy whole-brain modeling for computational neuroscientists 👩🔬💻🧠
gaborstefanics/notebooks
The compiled, clean (not run) Jupyter notebooks for Elegant SciPy
gaborstefanics/plotly-tutorial
This Jupyter Notebook condenses the Plotly API into one easy to use document with examples
gaborstefanics/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 ;)
gaborstefanics/pyAudioAnalysis
Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications
gaborstefanics/Python
All Algorithms implemented in Python
gaborstefanics/spark-deep-learning
Deep Learning Pipelines for Apache Spark
gaborstefanics/statistics-for-data-scientists
Code and data associated with the book "Statistics for Data Scientists: 50 Essential Concepts"
gaborstefanics/tesseract
Tesseract Open Source OCR Engine (main repository)
gaborstefanics/ThinkDSP
Think DSP: Digital Signal Processing in Python, by Allen B. Downey.