Linking pages
- GitHub - dive-into-machine-learning/dive-into-machine-learning: Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.) https://github.com/hangtwenty/dive-into-machine-learning 39 comments
- NLP Newsletter #10 [EN]: Improving Reproducibility in ML, Privacy and Security in NLP, XTREME, Longformer, VilBERT, exBERT,… – DAIR.AI https://dair.ai/NLP_Newsletter_10_en/ 0 comments
- Common Problems When Reproducing A Machine Learning Paper https://derekchia.com/common-problems-when-reproducing-a-machine-learning-paper/ 0 comments
- ML Code Completeness Checklist. Collated best practices from most… | by Robert Stojnic | PapersWithCode | Medium https://medium.com/paperswithcode/ml-code-completeness-checklist-e9127b168501 0 comments
Linked pages
- Dropbox.com https://dropbox.com 422 comments
- Rclone https://rclone.org/#providers 348 comments
- GitHub Pages | Websites for you and your projects, hosted directly from your GitHub repository. Just edit, push, and your changes are live. https://pages.github.com/ 52 comments
- Google Drive: Sign-in https://drive.google.com 50 comments
- Binder https://mybinder.org/ 30 comments
- Personal Cloud Storage – Microsoft OneDrive http://onedrive.com 28 comments
- Browse the State-of-the-Art in Machine Learning | Papers With Code https://paperswithcode.com/sota 26 comments
- Google Colab https://colab.research.google.com/#scrollTo=Nma_JWh-W-IF 25 comments
- Cloud Object Storage – Amazon S3 – Amazon Web Services http://aws.amazon.com/s3/ 25 comments
- Open Source Data Science Collaboration - DagsHub https://dagshub.com/ 23 comments
- https://eval.ai/ 21 comments
- GitHub - streamlit/streamlit: Streamlit — The fastest way to build data apps in Python https://github.com/streamlit/streamlit 8 comments
- Tracking Progress in Natural Language Processing | NLP-progress https://nlpprogress.com/ 3 comments
- Zenodo https://zenodo.org/ 2 comments
- ONNX | Home https://onnx.ai/ 1 comment
- TensorFlow Hub https://www.tensorflow.org/hub/ 0 comments
- CodaLab Worksheets https://worksheets.codalab.org/ 0 comments
- GitHub - fastai/fastpages: An easy to use blogging platform, with enhanced support for Jupyter Notebooks. https://github.com/fastai/fastpages 0 comments
- PyTorch Hub | PyTorch https://pytorch.org/hub/ 0 comments
- ML Code Completeness Checklist. Collated best practices from most… | by Robert Stojnic | PapersWithCode | Medium https://medium.com/paperswithcode/ml-code-completeness-checklist-e9127b168501 0 comments