hykhhijk

hykhhijk's Stars

• Beomi/KoAlpaca

  KoAlpaca: 한국어 명령어를 이해하는 오픈소스 언어모델 (KoAlpaca: An open-source language model to understand Korean instructions)

  Language:Jupyter Notebook1.5k238

• NirDiamant/RAG_Techniques

  This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and contextually rich responses.

  Language:Jupyter Notebook9.4k960

• huggingface/transformers

  🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

  Language:Python137k27.4k

• jndean/LossRider

  A plotting tool that outputs Line Rider maps, so you can watch a man on a sled scoot down your loss curves. 🎿

  Language:Python3215

• mlabonne/llm-course

  Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

  Language:Jupyter Notebook40.4k4.3k

• hyunjun/bookmarks

  Language:Python818243

• alenic/timm-models-explorer

  Timm model explorer

  Language:Python371

• huggingface/course

  The Hugging Face course on Transformers

  Language:MDX2.3k772

• currenjin/site-for-developers

  🌏🇰🇷 개발자를 위한 북마크 모음집

  88087

• poloclub/transformer-explainer

  Transformer Explained Visually: Learn How LLM Transformer Models Work with Interactive Visualization

  Language:JavaScript3.7k325

• wikibook/langchain

  《랭체인 완벽 입문》 예제 코드

  Language:Python2116

• boost-devs/ai-tech-interview

  👩‍💻👨‍💻 AI 엔지니어 기술 면접 스터디 (⭐️ 1k+)

  1.9k459

• reinforcement-learning-kr/how_to_study_rl

  The text for those who want to study reinforcement learning in Korean

  32448

• vincentarelbundock/Rdatasets

  A collection of datasets originally distributed in R packages

  Language:HTML328437

• teddylee777/openai-api-kr

  OpenAI 공식 Document, Cookbook, 그 밖의 실용 예제를 바탕으로 작성한 한국어 튜토리얼입니다. 본 튜토리얼을 통해 Python OpenAI API 를 더 쉽고 효과적으로 사용하는 방법을 배울 수 있습니다.

  Language:Jupyter Notebook4322

• jxzhangjhu/Awesome-LLM-RAG

  Awesome-LLM-RAG: a curated list of advanced retrieval augmented generation (RAG) in Large Language Models

  1k64

• bt22dr/deep-learning-papers

  딥러닝 주요 논문 리뷰 노트 및 코드 구현

  Language:Jupyter Notebook62

• Lee-WonJun/JDD-Description

  Ju-Dung-A-Li Driven Development

  1.9k131

• boostcampaitech4lv23cv1/final-project-level3-cv-02

  final-project-level-cv-02 created by GitHub Classroom

  Language:Python3

• Team-Neighborhood/I-want-to-study-Data-Science

  데이터 사이언스를 공부하고 싶은 분들을 위한 글

  1.8k484

• mercari/ml-system-design-pattern

  System design patterns for machine learning

  2.3k248

• zzsza/Boostcamp-AI-Tech-Product-Serving

  부스트캠프 AI Tech - Product Serving 자료

  Language:Python449369

• zszazi/Deep-learning-in-cloud

  List of Deep Learning Cloud Providers

  77797

• mtdvio/every-programmer-should-know

  A collection of (mostly) technical things every software developer should know about

  85.7k7.9k

• dair-ai/ML-Papers-of-the-Week

  🔥Highlighting the top ML papers every week.

  10.4k622

• facebookresearch/segment-anything

  The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

  Language:Jupyter Notebook48.3k5.7k

• facebookresearch/ImageBind

  ImageBind One Embedding Space to Bind Them All

  Language:Python8.4k782

• sjoleee/very-simple-portfolio

  심플한 디자인의 포트폴리오 템플릿

  Language:TypeScript6927

• roboflow/notebooks

  Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.

  Language:Jupyter Notebook5.7k907

• Integerous/goQuality-dev-contents

  { 고퀄리티 :zap: 개발 컨텐츠 모음 }

  9.3k1.4k