gjbex / Python-software-engineeringLinks
Repository for participants of the "Python software engineering" training
☆46Updated 3 months ago
Alternatives and similar repositories for Python-software-engineering
Users that are interested in Python-software-engineering are comparing it to the libraries listed below
Sorting:
- Introduction to deep learning☆56Updated last month
- Julia Jupyter/Colab Notebooks☆165Updated 2 months ago
- This repository contains lecture notes and codes for the course "Computational Methods for Data Science"☆53Updated 4 years ago
- ☆36Updated 2 years ago
- Parallel Programming with Python Tutorial☆40Updated 2 years ago
- Python solver for the Brownian, Stochastic, or Noisy Differential Equations☆12Updated 7 years ago
- Stanford's CS229 Machine Learning lecture notes compiled into a Tufte-style textbook☆59Updated 4 years ago
- Python notebooks for Numerical Analysis☆156Updated 6 months ago
- http://cranmer.github.io/stats-ds-book☆73Updated 4 years ago
- PythonHPC☆115Updated 2 years ago
- workshops☆12Updated 2 years ago
- A curated list of awesome Scientific Machine Learning (SciML) papers, resources and software☆77Updated 2 years ago
- Awesome-spatial-temporal-data-mining-packages. Julia and Python resources on spatial and temporal data mining. Mathematical epidemiology…☆32Updated 3 years ago
- Public repository for the proposal “Physics-Informed Machine Learning Simulator for Wildfire Propagation” - MLJC University of Turin - Pr…☆48Updated 4 years ago
- Introduction to Numerical Methods and Statistics with Jupyter Notebooks & Python☆66Updated 5 years ago
- Gaussian-Processes Surrogate Optimisation in python☆19Updated 4 years ago
- Harvard AM205: group activity files☆18Updated 4 years ago
- Course 5SSD0 - Bayesian Machine Learning and Information Processing☆50Updated 4 months ago
- Materials related to the 2024-2025 mini course on Probabilistic Models and Bayesian Methods at the Faculty of Finance at Kharazmi Univers…☆26Updated 6 months ago
- Numerical Analysis -- Applied Mathematics☆32Updated 4 years ago
- Notebooks for "A high bias low-variance introduction to Machine Learning for physicists."☆72Updated 6 years ago
- kramersmoyal: Kramers-Moyal coefficients for stochastic data of any dimension, to any desired order☆75Updated last year
- ☆41Updated 2 years ago
- How to train a neural ODE for time series/weather forecasting☆39Updated 2 years ago
- Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen☆224Updated last year
- Not the research toolkit you deserve, but the one you need right now☆47Updated last year
- Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems☆155Updated 2 months ago
- ☆18Updated last year
- Course Reader based on Jupyter-Book☆42Updated 3 years ago
- A short course on Julia and open-source software development☆322Updated 2 years ago