learningtoscore
Science Score: 36.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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✓Academic publication links
Links to: arxiv.org -
○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 (11.3%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: YogevKr
- Language: Jupyter Notebook
- Default Branch: main
- Size: 839 KB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
Learning to Score
This repository is the official implementation of TBD <!-- My Paper Title. --> <!--
Optional: include a graphic explaining your approach/main result, bibtex entry, link to demos, blog posts and tutorials -->
Requirements
To install requirements:
setup
pip install -r requirements.txt
<!--
Describe how to set up the environment, e.g. pip/conda/docker commands, download datasets, etc... -->
Training
To train the model(s) in the paper, run this command:
train
python train.py --input-data <path_to_data> --alpha 10 --beta 20
<!--
Describe how to train the models, with example commands on how to train the models in your paper, including the full training procedure and appropriate hyperparameters. -->
Evaluation
To evaluate my model on ImageNet, run:
eval
python eval.py --model-file mymodel.pth --benchmark imagenet
<!--
Describe how to evaluate the trained models on benchmarks reported in the paper, give commands that produce the results (section below). --> <!--
Pre-trained Models
You can download pretrained models here:
- My awesome model trained on ImageNet using parameters x,y,z.
Give a link to where/how the pretrained models can be downloaded and how they were trained (if applicable). Alternatively you can have an additional column in your results table with a link to the models. -->
Owner
- Name: Yogev Kriger
- Login: YogevKr
- Kind: user
- Location: Israel
- Company: New Relic
- Repositories: 3
- Profile: https://github.com/YogevKr
GitHub Events
Total
Last Year
Dependencies
- jupyterlab * development
- torchsummary * development
- umap-learn * development
- wandb * development
- networkx *
- numpy *
- pytorch_lightning *
- torch *
- torchmetrics *
- wandb *
- docker/build-push-action v2 composite
- docker/login-action v1 composite
- docker/setup-buildx-action v1 composite
- docker/setup-qemu-action v1 composite
- pytorch/pytorch latest build