SoyeonHH's Stars
microsoft/LoRA
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
Aldenhovel/bleu-rouge-meteor-cider-spice-eval4imagecaption
Evaluation tools for image captioning. Including BLEU, ROUGE-L, CIDEr, METEOR, SPICE scores.
qianlima-lab/awesome-lifelong-learning-methods-for-llm
This repository collects awesome survey, resource, and paper for Lifelong Learning for Large Language Models. (Updated Regularly)
jaeyoi-classroom/devops-to-mlops-course
DevOps to MLOps 강의 정보 및 자료
microsoft/CLAP
Learning audio concepts from natural language supervision
RAIVNLab/sugar-crepe
[NeurIPS 2023] A faithful benchmark for vision-language compositionality
yuchenlin/awesome-commonsense
[Work in progress] A reading list for machine commonsense reasoning
SAIS-FUXI/VidGen
LightChen233/M3CoT
pymupdf/PyMuPDF
PyMuPDF is a high performance Python library for data extraction, analysis, conversion & manipulation of PDF (and other) documents.
AILab-CVC/SEED-Bench
(CVPR2024)A benchmark for evaluating Multimodal LLMs using multiple-choice questions.
Geralt-Targaryen/MC-Evaluation
artemisp/LAVIS-XInstructBLIP
LAVIS - A One-stop Library for Language-Vision Intelligence
Q-Future/Q-Bench
①[ICLR2024 Spotlight] (GPT-4V/Gemini-Pro/Qwen-VL-Plus+16 OS MLLMs) A benchmark for multi-modality LLMs (MLLMs) on low-level vision and visual quality assessment.
DCDmllm/WorldGPT
WorldGPT: Empowering LLM as Multimodal World Model
xiaobai1217/Awesome-Video-Datasets
Video datasets
google/youtube-8m
Starter code for working with the YouTube-8M dataset.
THUNLP-MT/ModelCompose
Official code for our paper "Model Composition for Multimodal Large Language Models"
mseitzer/pytorch-fid
Compute FID scores with PyTorch.
boomb0om/text2image-benchmark
Benchmark for generative image models
uukuguy/multi_loras
Load multiple LoRA modules simultaneously and automatically switch the appropriate combination of LoRA modules to generate the best answer based on user queries.
HeegyuKim/open-korean-instructions
언어모델을 학습하기 위한 공개 한국어 instruction dataset들을 모아두었습니다.
artidoro/qlora
QLoRA: Efficient Finetuning of Quantized LLMs
ChemFoundationModels/ChemLLMBench
What can Large Language Models do in chemistry? A comprehensive benchmark on eight tasks
MolecularAI/Chemformer
tylin/coco-caption
AlexKer/federated-metalearning-risk-prediction-ehr
Meta-Learning for Risk Prediction with Limited Patient Electronic Health Records Using PySyft and SyferText
sheryl-ai/MetaPred
MetaPred: Meta-Learning for Clinical Risk Prediction with Limited Patient Electronic Health Records (KDD 2019)
aladdinpersson/Machine-Learning-Collection
A resource for learning about Machine learning & Deep Learning
rsyamil/cnn-regression
A simple guide to a vanilla CNN for regression, potentially useful for engineering applications.