Pinned 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.
AdvancedML
AI-Network-Graph-Analysis-in-Python
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
automate-excel-workshop
AutomatedExperiment_Summer2023
The summer training course on the Bayesian Optimization (by Sergei Kalinin)
jcosmo
Automatically exported from code.google.com/p/jcosmo
gjuhasz's Repositories
gjuhasz/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.
gjuhasz/AdvancedML
gjuhasz/AI-Network-Graph-Analysis-in-Python
gjuhasz/anki_science
Anki decks for physics, astronomy, computer science, machine learning, and statistics.
gjuhasz/Artificial-Intelligence-with-Python-Cookbook
Artificial Intelligence with Python Cookbook, published by Packt
gjuhasz/ATMOxide
Amine-templated metal/metalloid oxdes
gjuhasz/automate-excel-workshop
gjuhasz/AutomatedExperiment_Summer2023
The summer training course on the Bayesian Optimization (by Sergei Kalinin)
gjuhasz/bayesian_inference_pymc3
Jupyter Python notebook from conference talk on Bayesian inference with PyMC3.
gjuhasz/C-HACK
Chem E Hackathon 2021 Tutorial Notebooks
gjuhasz/CtCI-6th-Edition-Python
Cracking the Coding Interview 6th Ed. Python Solutions
gjuhasz/espressomd-docker
A Debian-based Docker setup for EspressoMD
gjuhasz/fastbook
Draft of the fastai book
gjuhasz/generative-ai-for-beginners
12 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
gjuhasz/INDEEDopt
An optimization framework using Latin Hypercube Design and deep learning to explore high-dimensional parameter spaces.
gjuhasz/learn-advanced-python
Learn advanced python techniques using self contained jupyter notebooks
gjuhasz/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
gjuhasz/learn-python3
Jupyter notebooks for teaching/learning Python 3
gjuhasz/Machine-Learning
Implementation of different ML Algorithms from scratch, written in Python 3.x
gjuhasz/ml-workshop-intermediate-2-of-2
gjuhasz/mysite
An example hugo static site with Toha theme for mysite
gjuhasz/programming-with-data
🐍 Learn Python and Pandas from the ground up
gjuhasz/pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
gjuhasz/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
gjuhasz/ReinforcementLearningAnIntroduction.jl
Julia code for the book Reinforcement Learning An Introduction
gjuhasz/research-group-site
gjuhasz/Surface
gjuhasz/ThinkBayes2
Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.
gjuhasz/Training
gjuhasz/workshop-july-2020
Molecular Simulation with Machine Learning - On-line workshop, July 13-14, 2020