If you are trying to "produce" a package for a machine learning research paper (often requested as a .zip for conference submissions like NeurIPS or ICML), you should include:
: Standard sections include Abstract, Introduction, Related Work, Methodology, Experiments, and Conclusion.
: Scripts to reproduce the results mentioned in your paper. Pre-trained models : Often stored as .zip or .pth files. ml.zip
There is a specific project called ml-zip on GitHub that uses Machine Learning (Arithmetic Coding with LSTM or PPM estimators) for file compression. : Install the dependencies (Python-based).
: A guide with precise commands to run the code and produce the reported results. 4. Creating a "Paper on ML" (Drafting) If you are trying to "produce" a package
: A requirements.txt or environment.yml file.
ML.NET: Machine Learning for .NET Developers There is a specific project called ml-zip on
Use the ArithmeticCoding and PPMEstimator classes to fit your data. Run the encode method to generate the compressed bitstream. 3. Packaging an ML Paper/Project