A Faster Pytorch Implementation of Multi-Head Self-Attention
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Updated
May 27, 2022 - Jupyter Notebook
A Faster Pytorch Implementation of Multi-Head Self-Attention
News Articles Recommendation System. (Project for Practical Seminar in Machine Learning - PSI:ML 9)
A GPT-2 foundational model build in PyTorch for next business idea / reasoning model purposes
A custom Decoder-Only Transformer model built completely from scratch using PyTorch based on the GPT-2 architecture. Designed for training on character-level language generation datasets.
My pytorch implemented solution to the Fall 2020 UC Berkley CS198 ViT homework; (P.S this is my first experience with ViTs let alone transformers please leave feedback!)
Notebook used for the Kaggle Competition on Nasa-Cmapss dataset for the RUL predictions
gpt∀ - A modular, from-scratch implementation of the GPT architecture in PyTorch, covering attention, transformer blocks, and core LLM components.
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