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Notebooks and code for the book "Introduction to Machine Learning with Python"
This repository contains the code and documentation developed for the final degree project titled "Study on the Efficiency Improvement of Cherenkov Detectors Using Colloids". The project focuses on…
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.
The official repository for ROOT: analyzing, storing and visualizing big data, scientifically
Geant4 toolkit for the simulation of the passage of particles through matter - NIM A 506 (2003) 250-303
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
A framework designed to simulate the signals produced by the secondary particles emerging from the interaction of the flux of primary cosmic ray with the atmosphere. These signals are simulated for…
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
Python Data Science Handbook: full text in Jupyter Notebooks
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Code samples from the "Python Cookbook, 3rd Edition", published by O'Reilly & Associates, May, 2013.