How do transformer LMs encode relations?

Data Structures and Algorithms

COMP3331 comp3331 cs3331 CS3331 COMP1511 comp1511 cs1511 CS1511 COMP2511 comp2511 cs2511 CS2511 COMP3311 comp3311 cs3311 CS3311 COMP1521 comp1521 cs1521 CS1521 COMP3121 comp3121 cs3121 CS3121 COMP2…

UNSW 2020-2023 Undergraduate

Automate browser based workflows with AI

🦜🔗 The platform for reliable agents.

beamer/knitr slides for quantstrat tutorial

This is a Named Entity Recognition project based on Google Al's BERT. The aim of the project was to fine-tune BERT to clinical data for NER using the data provided. This model was able to achieve a…

Deep Learning Theory course

This repository contains notebooks on different topics across - linear algebra, image classification, language models etc.

A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.

My solutions to the assignments in the book: "A Student’s Guide to Bayesian Statistics" by Ben Lambert.

Run Rstudio Server in a conda environment

Spatial Image Analysis of Tissues

Statistical Learning Theory (CS229T) Lecture Notes

A PyTorch Graph Neural Network Library

My GRE Learning Resources

Experiments learning the even-parity dataset with MPS (tensor trains)

A library for easy and efficient manipulation of tensor networks.

DeepRC: Immune repertoire classification with attention-based deep massive multiple instance learning

Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.

Time series forecasting with PyTorch

Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting (NeurIPS 2019)

PyTorch tutorials.