green_lab_codeeco
Science Score: 26.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
○CITATION.cff file
-
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
-
○Academic publication links
-
○Academic email domains
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (5.9%) to scientific vocabulary
Last synced: 6 months ago
·
JSON representation
Repository
Basic Info
- Host: GitHub
- Owner: KafkaOtto
- License: mit
- Language: Jupyter Notebook
- Default Branch: main
- Size: 40.8 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 1
- Open Issues: 0
- Releases: 0
Created over 1 year ago
· Last pushed over 1 year ago
Metadata Files
Readme
License
Citation
README.md
Evaluating the Energy Efficiency of Code Generated by Llama 3.1
The purpose of this study is to evaluate the energy efficiency of generated code by Llama 3.1 against human implementation on code problems. We learn the energy efficiency of generated code by Llama 3.1 from factors as problem complexity and prompt engineering techniques.
Setup
- To start with, you need to install Python3 on your system. If you do not have python, you can install from Python Packages
- Install Powerjoular following the instructions provided in Powerjoular Repository
- Install the necessary packages using
shell pip install -r requirement.txt
Running
To run the experiment and generat the running table, you can execute the command:
shell
python3 experiment-runner/ experiments/runner/RunnerConfig.py
Owner
- Name: OttoKafka
- Login: KafkaOtto
- Kind: user
- Repositories: 1
- Profile: https://github.com/KafkaOtto
GitHub Events
Total
- Push event: 18
Last Year
- Push event: 18
Dependencies
requirements.txt
pypi
- dill *
- jsonpickle *
- pandas *
- psutil *
- tabulate *