ChoongwonPark's Stars
RUCAIBox/LLMRank
[ECIR'24] Implementation of "Large Language Models are Zero-Shot Rankers for Recommender Systems"
nancheng58/Awesome-LLM4RS-Papers
Large Language Model-enhanced Recommender System Papers
jk1333/prompt_tester
jxzhangjhu/Awesome-LLM-RAG
Awesome-LLM-RAG: a curated list of advanced retrieval augmented generation (RAG) in Large Language Models
myshell-ai/OpenVoice
Instant voice cloning by MIT and MyShell.
cmhungsteve/Awesome-Transformer-Attention
An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
tyxsspa/AnyText
Official implementation code of the paper <AnyText: Multilingual Visual Text Generation And Editing>
just-eoghan/Lightning-UDA-detect
A collection of popular unsupervised domain adaptation architechtures. Made easy to install and use for research.
ifsheldon/MPL_Lightning
Lightning implementation of Meta Pseudo Label
kekmodel/MPL-pytorch
Unofficial PyTorch implementation of "Meta Pseudo Labels"
dair-ai/ML-Papers-of-the-Week
๐ฅHighlighting the top ML papers every week.
dair-ai/Prompt-Engineering-Guide
๐ Guides, papers, lecture, notebooks and resources for prompt engineering
KLUE-benchmark/KLUE
๐ Korean NLU Benchmark
ssut/py-googletrans
(unofficial) Googletrans: Free and Unlimited Google translate API for Python. Translates totally free of charge.
tloen/llama-int8
Quantized inference code for LLaMA models
bitsandbytes-foundation/bitsandbytes
Accessible large language models via k-bit quantization for PyTorch.
gyunggyung/MLLMArxivTalk
[Google Meet] MLLM Arxiv Casual Talk
dkozlov/awesome-knowledge-distillation
Awesome Knowledge Distillation
htqin/awesome-model-quantization
A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.
jessevig/bertviz
BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)
openai/openai-cookbook
Examples and guides for using the OpenAI API
boost-devs/ai-tech-interview
๐ฉโ๐ป๐จโ๐ป AI ์์ง๋์ด ๊ธฐ์ ๋ฉด์ ์คํฐ๋ (โญ๏ธ 1k+)
JaeYeopHan/Interview_Question_for_Beginner
:boy: :girl: Technical-Interview guidelines written for those who started studying programming. I wish you all the best. :space_invader:
gyoogle/tech-interview-for-developer
๐ถ๐ป ์ ์ ๊ฐ๋ฐ์ ์ ๊ณต ์ง์ & ๊ธฐ์ ๋ฉด์ ๋ฐฑ๊ณผ์ฌ์ ๐
NLPlab-skku/SummaryXAI-QA
์ค๋ช ๊ฐ๋ฅํ ์คํ๋๋ฉ์ธ ์ง์์๋ต ์์คํ ๊ตฌ์ถ์ ์ํ ์ง์ ๊ธฐ๋ฐ์ ๋ฌธ์ ์์ฝ ๊ธฐ์ ์ฐ๊ตฌ ๋ฐ ๋ฐ์ดํฐ
kjsman/stable-diffusion-pytorch
Yet another PyTorch implementation of Stable Diffusion (probably easy to read)
diff-usion/Awesome-Diffusion-Models
A collection of resources and papers on Diffusion Models
THUDM/P-tuning-v2
An optimized deep prompt tuning strategy comparable to fine-tuning across scales and tasks
ashleve/lightning-hydra-template
PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. โก๐ฅโก
khangich/machine-learning-interview
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.