active-learning-transformer

A hands-on tutorial on how to use Active Learning with Transformer models.

am1n3e

aminhatim.github.io

ca-mtl-1

Conditionally Adaptive Multi-Task Learning: Improving Transfer Learning in NLP Using Fewer Parameters & Less Data

codestackr

data-juicer

A one-stop data processing system to make data higher-quality, juicier, and more digestible for LLMs! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷为大语言模型提供更高质量、更丰富、更易”消化“的数据！

dotfiles

fzf-demo

FzF demo

inf8007-web-scraper

Web scraper project as part of the INF8007

lazy-nvim

Starter template for LazyVim

llama-recipes

Examples and recipes for Llama 2 model

lm-evaluation-harness

A framework for few-shot evaluation of language models.

nvim-config

A launch point for your personal nvim configuration

open-instruct

pcgrad

Code for "Gradient Surgery for Multi-Task Learning"

sphinx-markdown-test

Repo for testing Sphinx with RST & Markdown

transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

unet-gan-matting

Background Removal based on U-Net

vim