whybe-choi

whybe-choi's Stars

• huggingface/smol-course

  A course on aligning smol models.

  Language:Jupyter Notebook3.2k929

• academicpages/academicpages.github.io

  Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

  Language:JavaScript12.7k44.5k

• wikibook/llm-finetuning

  《한 권으로 끝내는 실전 LLM 파인튜닝》 예제 코드

  Language:Jupyter Notebook4

• DSBA-Lab/Contrastive-Accumulation

  Language:Python71

• philschmid/deep-learning-pytorch-huggingface

  Language:Jupyter Notebook706166

• beir-cellar/beir

  A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.

  Language:Python1.7k194

• andrewyng/aisuite

  Simple, unified interface to multiple Generative AI providers

  Language:Python8.3k725

• baeseongsu/KoSAIM2024-Clinical-LLM

  [KoSAIM 2024 Summer School] Fine-tuning a clinical domain Large Language Model

  Language:Jupyter Notebook81

• ritaranx/BMRetriever

  [EMNLP 2024] This is the code for our paper "BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers".

  Language:Python182

• cfahlgren1/observers

  A Lightweight Library for AI Observability

  Language:Python22026

• naver/splade

  SPLADE: sparse neural search (SIGIR21, SIGIR22)

  Language:Python79586

• haon-chen/SPEED

  Language:Python3

• jessevig/bertviz

  BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)

  Language:Python7k790

• embeddings-benchmark/mteb

  MTEB: Massive Text Embedding Benchmark

  Language:Jupyter Notebook2k284

• PrithivirajDamodaran/FlashRank

  Lite & Super-fast re-ranking for your search & retrieval pipelines. Supports SoTA Listwise and Pairwise reranking based on LLMs and cross-encoders and more. Created by Prithivi Da, open for PRs & Collaborations.

  Language:Python68651

• AIR-Bench/AIR-Bench

  AIR-Bench: Automated Heterogeneous Information Retrieval Benchmark

  Language:Python11010

• jxmorris12/cde

  code for training & evaluating Contextual Document Embedding models

  Language:Python1336

• wandb/llm-kr-eval

  Language:Python185

• microsoft/unilm

  Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

  Language:Python20.4k2.6k

• LeeSureman/E5-Retrieval-Reproduction

  Use contrastive learning to train a large language model (LLM) as a retriever

  Language:Python81

• hkust-nlp/SynCSE

  This is the official implementation of the paper: "Contrastive Learning of Sentence Embeddings from Scratch"

  Language:Python375

• staoxiao/RetroMAE

  Codebase for RetroMAE and beyond.

  Language:Python24319

• facebookresearch/mexma

  MEXMA: Token-level objectives improve sentence representations

  Language:Python362

• vec2text/vec2text

  utilities for decoding deep representations (like sentence embeddings) back to text

  Language:Python75385

• mrdbourke/simple-local-rag

  Build a RAG (Retrieval Augmented Generation) pipeline from scratch and have it all run locally.

  Language:Jupyter Notebook542162

• mlfoundations/task_vectors

  Editing Models with Task Arithmetic

  Language:Python43637

• songys/huggingface_KoreanDataset

  huggingface에 있는 한국어 데이터 세트

  22

• MinishLab/model2vec

  The Fastest State-of-the-Art Static Embeddings in the World

  Language:Python50821

• worldbank/GISTEmbed

  GISTEmbed: Guided In-sample Selection of Training Negatives for Text Embeddings

  Language:Python371

• HKUDS/LightRAG

  "LightRAG: Simple and Fast Retrieval-Augmented Generation"

  Language:Python11.5k1.5k