Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
releasing-research-code
Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
https://github.com/paperswithcode/releasing-research-code
- blog post - neurips2019.csv) and [notebook](notebooks/code_checklist-analysis.pdf) to reproduce this analysis from the post.
- Zenodo - versioning, 50GB, free bandwidth, DOI, provides long-term preservation
- GitHub Releases - versioning, 2GB file limit, free bandwidth
- OneDrive - versioning, 2GB (free)/ 1TB (with Office 365), free bandwidth
- Google Drive - versioning, 15GB, free bandwidth
- Dropbox - versioning, 2GB (paid unlimited), free bandwidth
- AWS S3 - versioning, paid only, paid bandwidth
- huggingface_hub - versioning, no size limitations, free bandwidth
- DAGsHub - versioning, no size limitations, free bandwith
- CodaLab Worksheets - 10GB, free bandwith
- RClone - provides unified access to many different cloud storage providers
- PyTorch Hub
- Tensorflow Hub
- Hugging Face NLP models
- ONNX
- Papers with Code leaderboards - with 4000+ leaderboards
- CodaLab Competitions - with 450+ leaderboards
- EvalAI - with 100+ leaderboards
- NLP Progress - with 90+ leaderboards
- Collective Knowledge - with 40+ leaderboards
- Weights & Biases - Benchmarks - with 9+ leaderboards
- GitHub pages
- Fastpages
- Google Colab
- Binder
- Streamlit
- CodaLab Worksheets
Programming Languages
Keywords
deep-learning
2
machine-learning
2
python
2
data-science
2
model-hub
1
models
1
natural-language-processing
1
pretrained-models
1
pytorch
1
actions
1
fastai
1
github-pages
1
jekyll
1
jekyll-blog
1
jupyter
1
jupyter-lab
1
jupyter-notebooks
1
literate-programming
1
nbdev
1
visualization
1
visualization-tools
1
data-analysis
1
data-visualization
1
developer-tools
1
streamlit
1