Project2_FYS-STK4155
Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (7.2%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: Trond01
- Language: Jupyter Notebook
- Default Branch: main
- Size: 29.4 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
Project2 FYS-STK4155
This is a repository for the second project in the course FYS-STK4155 - Applied Data Analysis and Machine Learning.
Structure
bash
├── Code # Project code, including experiment functions with a user-friendly interface
├── Report # Report detailing results, methods, and analysis
├── Runs # Code used to perform experiments and generate report figures
│ ├── Figures # Generated figures for the report
│ └── Testing # Additional notebooks for code verification and benchmarking
├── README.md
└── .gitignore
The code is demonstrated in jupyter notebooks found in the folder Runs.
Some notes on the code
A central goal of this project has been the implementation of descent methods that can solve a wide range of optimisation problems. The implementation ensures that given a dictionary of parametres and a function to evaluate the gradient of some cost function wrt. each key, we can perform gradient descent.
Owner
- Login: Trond01
- Kind: user
- Repositories: 1
- Profile: https://github.com/Trond01
Citation (CITATION.bib)
@unpublished{project2,
author = {Trond Skaret Johansen and Eirik Salberg Pedersen and Jonatan Winsvold},
title = {Project 2},
note = {Project report for FYS-STK4155},
year = {2023},
month = {November},
url = {https://github.com/Trond01/Project2_FYS_STK4155},
}
GitHub Events
Total
Last Year
Dependencies
- Pillow ==10.1.0
- Pygments ==2.16.1
- appnope ==0.1.3
- asttokens ==2.4.1
- backcall ==0.2.0
- comm ==0.1.4
- contourpy ==1.1.1
- cycler ==0.12.1
- debugpy ==1.8.0
- decorator ==5.1.1
- exceptiongroup ==1.1.3
- executing ==2.0.0
- fonttools ==4.43.1
- ipykernel ==6.26.0
- ipython ==8.16.1
- jax ==0.4.19
- jaxlib ==0.4.19
- jedi ==0.19.1
- jupyter_client ==8.5.0
- jupyter_core ==5.4.0
- kiwisolver ==1.4.5
- matplotlib ==3.8.0
- matplotlib-inline ==0.1.6
- ml-dtypes ==0.3.1
- nest-asyncio ==1.5.8
- numpy ==1.26.1
- opt-einsum ==3.3.0
- packaging ==23.2
- pandas ==2.1.1
- parso ==0.8.3
- pexpect ==4.8.0
- pickleshare ==0.7.5
- platformdirs ==3.11.0
- prompt-toolkit ==3.0.39
- psutil ==5.9.6
- ptyprocess ==0.7.0
- pure-eval ==0.2.2
- pyparsing ==3.1.1
- python-dateutil ==2.8.2
- pytz ==2023.3.post1
- pyzmq ==25.1.1
- scipy ==1.11.3
- six ==1.16.0
- stack-data ==0.6.3
- tornado ==6.3.3
- traitlets ==5.12.0
- tzdata ==2023.3
- wcwidth ==0.2.8