RESOURCES.md

• Algorithms

  • Bag of Words
    • https://builtin.com/machine-learning/bag-of-words
    • https://machinelearningmastery.com/gentle-introduction-bag-words-model/
  • N-gram model
    • https://github.com/mrzjy/sunburst/tree/master
    • https://stackoverflow.com/questions/67507375/why-pythons-logging-module-stopped-working-suddenly
  • TF-IDF
    • https://www.kaggle.com/code/paulrohan2020/tf-idf-tutorial/notebook
    • https://en.wikipedia.org/wiki/Tf–idf
    • https://towardsdatascience.com/tf-idf-for-document-ranking-from-scratch-in-python-on-real-world-dataset-796d339a4089
  • HMMs (Hidden Markov Models)
    • Part 1: https://medium.com/@ompramod9921/hidden-markov-models-the-secret-sauce-in-natural-language-processing-98cde0372721
    • Part 2: https://medium.com/@ompramod9921/hidden-markov-models-the-secret-sauce-in-natural-language-processing-38fbcc010bda
    • https://web.stanford.edu/~jurafsky/slp3/A.pdf
    • https://wisdomml.in/hidden-markov-model-hmm-in-nlp-python/
  • Word2Vec
    • https://github.com/weberrr/pytorch_word2vec/tree/master
  • GloVe
    • NA
  • RNN [Many to One]
    • https://gist.github.com/Dvelezs94/dc34d1947ba6d3eb77c0d70328bfe03f
  • LSTM [One to Many]
    • Image Captioning
    • BLEU
    • ROUGE
    • Metrics
    • METEOR
    • METEOR Implementation
    • ROUGE
  • GRU [Many to Many Synced]
    • POS Tagging
    • https://colah.github.io/posts/2015-08-Understanding-LSTMs/
  • Seq2Seq + Attention [Many to Many]
    • indic_nlp
    • Blog 1
    • Blog 2
    • PyTorch Tutorial
  • Transformer
    • BPE Karpathy
    • Transformers from scratch
    • Illustrated Transformer
    • BPE Github Karpathy
    • BPE Implementation Arxiv
  • BERT
    • Word Piece Tokenization
    • Word Piece Blog
  • GPT-2
    • GPT-2 Illustration

• Datasets

  • Dataset Blog
  • Making a Python Library
  • https://snap.stanford.edu/data/web-Amazon-links.html
  • https://cseweb.ucsd.edu/~jmcauley/datasets/amazon_v2/
  • https://github.com/sstoikov/piki-music-dataset/tree/main/data
  • https://www.upf.edu/web/mtg/mard
  • https://www.statmt.org/wmt14/translation-task.html#download
  • https://www.statmt.org/europarl/ [Seq2Seq]
  • https://github.com/micbuffa/WasabiDataset [Text Generation]
  • https://huggingface.co/datasets/brunokreiner/genius-lyrics/tree/main [Text Generation]
  • https://www.kaggle.com/datasets/nbroad/wiki-20220301-en-sci [BERT Pretraining]
  • https://paperswithcode.com/dataset/lambada [GPT 2 Training]

• Coding style

  • https://docs.python-guide.org/writing/style/
  • https://packaging.python.org/en/latest/overview/
  • https://www.datacamp.com/blog/python-best-practices-for-better-code

• PIP

  • https://betterscientificsoftware.github.io/python-for-hpc/tutorials/python-pypi-packaging/
  • https://packaging.python.org/en/latest/guides/writing-pyproject-toml/
  • https://github.com/github/gitignore/blob/main/Python.gitignore
  • https://medium.com/@blackary/publishing-a-python-package-from-github-to-pypi-in-2024-a6fb8635d45d / https://youtu.be/90PWQEc--6k?si=NK3byavwtsiFZyHK

• Documentation

  • https://testdriven.io/blog/documenting-python/
  • https://medium.com/@peterkong/comparison-of-python-documentation-generators-660203ca3804
  • https://sphinx-rtd-tutorial.readthedocs.io/en/latest/docstrings.html
  • https://samnicholls.net/2016/06/15/how-to-sphinx-readthedocs/ ***
  • https://stackoverflow.com/a/71489121
  • https://www.sphinx-doc.org/en/master/man/sphinx-apidoc.html [Sphinx RST Files Generator]
  • https://www.sphinx-doc.org/en/master/tutorial/deploying.html [Deploying]
  • https://redandgreen.co.uk/sphinx-to-github-pages-via-github-actions/
  • conda install pandoc instead of pip install pandoc
  • pandac -s <md path> -o <rst path>
  • Sample Documentation: https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LinearRegression.html

• README

  • https://dev.to/scottydocs/how-to-write-a-kickass-readme-5af9
  • https://realpython.com/readme-python-project/
  • https://github.com/eli64s/README-AI
  • https://readme.so/
  • https://github.com/ikatyang/emoji-cheat-sheet/blob/master/README.md

• Logging

  • https://stackoverflow.com/a/15729700
  • https://blog.sentry.io/logging-in-python-a-developers-guide/