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rnn

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Hello! We are an international group of students researching deep learning applications for Alzheimer's disease. We aim to introduce a better model for AD diagnosis. Our names are Hugo Jal Hernández, Basit Oliyide, Parth Parikh & Ravi Shah.

  • Updated Jun 11, 2024
  • Python

This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model.

  • Updated Jun 11, 2024

RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.

  • Updated Jun 11, 2024
  • Python

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