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frogstar-world-b/README.md

Hi there 👋

  • My name is Marian Farah. I am based in the San Francisco Bay Area
  • I have a PhD in Bayesian Statistics, and I work and consult in the AI space
  • I am passionate about using science and AI to help create a more sustainable future 🌍 🌏 🌎
  • Why Frogstar World B? Because it is home to the Total Perspective Vortex AND Milliways 😄
  • These days you will find me playing with LLMs
  • Follow me / message me on LinkedIn or X/Twitter

For advisory / consultation work, please reach out through de Finetti Labs.

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  1. Finetune-BERT Finetune-BERT Public

    Fine-tune a BERT model for a sentiment analysis task using 50,000 IMDB movie reviews and their sentiment labels.

    Jupyter Notebook 1

  2. Graph-NNs Graph-NNs Public

    Practical tutorials of Graph NNs to classify nodes and graphs using PyTorch Geometric (aka PyG).

    Jupyter Notebook 2

  3. Nano-GPT Nano-GPT Public

    Build a Generative Pre-trained Transformer (GPT) from scratch in stages using the works of Shakespeare for training.

    Python 1

  4. Transfer-Learning-ChemBERTa Transfer-Learning-ChemBERTa Public

    Apply fine-tuning and transfer learning for regression to ChemBERTa, a BERT-like model applied to chemical SMILES data.

    Jupyter Notebook 3

  5. Pytorch-For-DeepNNs Pytorch-For-DeepNNs Public

    From zero-to-hero type tutorials for training Deep NNs with Pytorch.

    Python

  6. CatBoost-Healthcare-Data CatBoost-Healthcare-Data Public

    Apply advanced classification and regression using CatBoost to data from the healthcare/insurance sector.

    Jupyter Notebook