Brendan King's starred repositories
excalidraw
Virtual whiteboard for sketching hand-drawn like diagrams
generative_agents
Generative Agents: Interactive Simulacra of Human Behavior
arxiv-latex-cleaner
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
Mathematics-for-ML
🧮 A collection of resources to learn mathematics for machine learning
Task-Oriented-Dialogue-Research-Progress-Survey
A datasets and methods survey about task-oriented dialogue, including recent datasets and SOTA leaderboards.
aclpubcheck
Tools for checking ACL paper submissions
Awesome-instruction-tuning
A curated list of awesome instruction tuning datasets, models, papers and repositories.
just-the-class
A modern, highly customizable, responsive Jekyll template for course websites.
monitors4codegen
Code and Data artifact for NeurIPS 2023 paper - "Monitor-Guided Decoding of Code LMs with Static Analysis of Repository Context". `multispy` is a lsp client library in Python intended to be used to build applications around language servers.
awesome-llm-unlearning
A resource repository for machine unlearning in large language models
Instructdial
Code for the paper Code for the paper InstructDial: Improving Zero and Few-shot Generalization in Dialogue through Instruction Tuning
mengzi-retrieval-lm
An experimental implementation of the retrieval-enhanced language model
MultiWOZ_Evaluation
Unified MultiWOZ evaluation scripts for the context-to-response task.
gpu-deployments
Testing methods for GPU deployment
mpd-references
A repository of citations related to multi-party dialogue - past research and available resources
nc_latent_tod
Unsupervised End-to-End Task-Oriented Dialogue with LLMs
hf_libraries_demo
Demos of Huggingface Libaries for NLP 244 Section
minimal-lm-finetune
A minimal example of fine-tuning autoregressive language models with multiple GPUs and DeepSpeed
kingb12.github.io
My personal website
nlp220_hw1_data
Data for Assignment 1 in NLP 220: Data Science & ML Fundamentals
nlp220_section_examples
Micro-examples for concepts in NLP 220