drgreen / COGS18_22Links
☆80Updated 2 years ago
Alternatives and similar repositories for COGS18_22
Users that are interested in COGS18_22 are comparing it to the libraries listed below
Sorting:
- ☆34Updated last year
- resources for transitioning from academic astronomy to industry data science☆80Updated last year
- Machine Learning for Physics and Astronomy☆62Updated 2 years ago
- Matplotlib template for SuperMongo style 🔭☆131Updated 4 months ago
- Notebook to go along with a lecture for the MIT course 8.16: Data Science in Physics on neural simulation-based inference.☆55Updated last year
- Machine learning and statistics for physicists☆97Updated 4 years ago
- Material for the "ML for the Sciences" meeting at Princeton University☆55Updated 5 years ago
- Notebooks for PHYS 440/540 at Drexel University☆16Updated 6 months ago
- Jupyter notebooks for "A high-bias, low-variance introduction to Machine Learning for physicists"☆196Updated 4 years ago
- Software written to analyze the output of the CAMEL simulations.☆43Updated last month
- Notebooks for "A high bias low-variance introduction to Machine Learning for physicists."☆69Updated 5 years ago
- Scientific Computing with Python - PhD class at the University of Milan-Bicocca (Italy)☆27Updated 7 months ago
- HEP/Astroparticle/Astrophysics/Cosmology open source packages. Community effort. Physics people, unite!☆131Updated 4 months ago
- Bayesian fitting package☆54Updated 2 weeks ago
- ☆42Updated 4 months ago
- Public repository for the Computational Astrophysics course at the Observatorio Astronómico Nacional.☆40Updated last week
- Course materials for Fundamentals of Data Science☆35Updated 4 years ago
- Matplotlib tutorials☆114Updated 7 months ago
- University of Chicago PHYS 250 Computational Physics software repository☆29Updated 6 months ago
- Tutorials for GW Open Data Workshop, 2022☆65Updated 2 years ago
- ☆68Updated 10 months ago
- ☆23Updated 2 years ago
- Astrostatistics and Machine Learning class for the MSc degree in Astrophysics at the University of Milan-Bicocca (Italy)☆32Updated 8 months ago
- Code for "Machine Learning for Physicists" lecture series by Florian Marquardt☆303Updated last month
- Jupyter notebooks, python codes, and data files for all original figures from "Stellar Structure and Evolution" by Marc Pinsonneault and …☆12Updated 3 months ago
- encore: Efficient isotropic 2-, 3-, 4-, 5- and 6-point correlation functions in C++ and CUDA☆21Updated 7 months ago
- Corner plots, LaTeX tables and plotting walks.☆84Updated 2 weeks ago
- A matplotlib style sheet to help me spend less time editing figures for my manuscripts for Phys. Rev. D.☆20Updated 2 weeks ago
- Machine Learning - accelerated Bayesian inference☆68Updated 5 months ago
- My humble attempt to use Python and the package EinsteinPy to derive the field equations for various metrics. For explicit examples that…☆9Updated 3 years ago