Gergely Juhasz's repositories
30-Days-Of-Python
30 days of Python programming challenge is a step by step guide to learn the Python programming language in 30 days. This challenge may take up to 100 days, follow your own pace.
anki_science
Anki decks for physics, astronomy, computer science, machine learning, and statistics.
Artificial-Intelligence-with-Python-Cookbook
Artificial Intelligence with Python Cookbook, published by Packt
ATMOxide
Amine-templated metal/metalloid oxdes
AutomatedExperiment_Summer2023
The summer training course on the Bayesian Optimization (by Sergei Kalinin)
bayesian_inference_pymc3
Jupyter Python notebook from conference talk on Bayesian inference with PyMC3.
CtCI-6th-Edition-Python
Cracking the Coding Interview 6th Ed. Python Solutions
espressomd-docker
A Debian-based Docker setup for EspressoMD
generative-ai-for-beginners
12 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
learn-advanced-python
Learn advanced python techniques using self contained jupyter notebooks
learn-python
learn how to program in python from the very basics like variables, loops and functions to some advanced materials such as functional programming and list comprehension
learn-python3
Jupyter notebooks for teaching/learning Python 3
Machine-Learning
Implementation of different ML Algorithms from scratch, written in Python 3.x
mysite
An example hugo static site with Toha theme for mysite
programming-with-data
🐍 Learn Python and Pandas from the ground up
pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
ReinforcementLearningAnIntroduction.jl
Julia code for the book Reinforcement Learning An Introduction
ThinkBayes2
Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.
workshop-july-2020
Molecular Simulation with Machine Learning - On-line workshop, July 13-14, 2020