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University of Toronto
- Toronto, Canada
- https://sangwook.kim
- https://woogi-tech.tistory.com/
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HEST: Bringing Spatial Transcriptomics and Histopathology together
docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
Metrics for evaluating Automated Audio Captioning systems, designed for PyTorch.
A lightweight library for generating synthetic instruction tuning datasets for your data without GPT.
All available datasets for Instruction Tuning of Large Language Models
Generating highly accurate pathology reports from gigapixel whole slide images with HistoGPT
Implementation of CoCa, Contrastive Captioners are Image-Text Foundation Models, in Pytorch
Large Language-and-Vision Assistant for Biomedicine, built towards multimodal GPT-4 level capabilities.
A collection of open-source dataset to train instruction-following LLMs (ChatGPT,LLaMA,Alpaca)
Layer-Condensed KV cache w/ 10 times larger batch size, fewer params and less computation. Dramatic speed up with better task performance. Accepted to ACL 2024.
Official repo for the paper: SoccerNet-Echoes: A Soccer Game Audio Commentary Dataset
Speech recognition module for Python, supporting several engines and APIs, online and offline.
TorchMultimodal is a PyTorch library for training state-of-the-art multimodal multi-task models at scale.
Run Effective Large Batch Contrastive Learning Beyond GPU/TPU Memory Constraint
This repo includes ChatGPT prompt curation to use ChatGPT better.
User-friendly WebUI for LLMs (Formerly Ollama WebUI)
vCard is a fully responsive personal portfolio website, responsive for all devices.
A lightweight, customizable single-page personal portfolio website template built with JavaScript and Sass
Code repository for "Generative Large Language Models are Poor Medical Coders: A Benchmarking Analysis of Medical Code Querying"