yammayamm

yammayamm's Stars

• ds-wook/web-ctr-prediction

  🏆1st solution in web ad CTR predict competition🏆

  Language:Python12

• teddylee777/langchain-kr

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

  Language:Jupyter Notebook1.1k257

• tsdata/langchain-study

  랭체인(LangChain) 입문부터 응용까지

  Language:Jupyter Notebook179

• teddylee777/langserve_ollama

  무료로 한국어🇰🇷 파인튜닝 모델 받아서 로컬 LLM 호스팅. LangServe, Ollama, streamlit + RAG

  Language:Jupyter Notebook142100

• nlpai-lab/KULLM

  ☁️ 구름(KULLM): 고려대학교에서 개발한, 한국어에 특화된 LLM

  56470

• growingpenguin/NSMC-Sentiment-Fine-Tuning

  This repository is dedicated to the sentiment analysis of Korean movie reviews from the Naver Sentiment Movie Corpus (NSMC) using two state-of-the-art language models: meta-llama/Llama-2-7b-chat-hf and KT-AI/midm-bitext-S-7B-inst-v1.

  Language:Jupyter Notebook3

• tsdata/langchain-ollama

  Language:Jupyter Notebook1819

• YuyangZhangFTD/awesome-RecSys-papers

  The awesome and classic papers in recommendation system!!! Good luck to every RecSys-learner!

  790186

• NomaDamas/awesome-korean-llm

  Awesome list of Korean Large Language Models.

  43727

• rungjoo/CoMPM

  Context Modeling with Speaker's Pre-trained Memory Tracking for Emotion Recognition in Conversation (NAACL 2022)

  Language:Python6214

• jx-dohwan/RoBERTa_ERC

  대화속 감정인식

  Language:Jupyter Notebook2

• teddylee777/machine-learning

  머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)

  Language:Jupyter Notebook2.6k846

• interpretml/interpret

  Fit interpretable models. Explain blackbox machine learning.

  Language:C++6.3k726

• devSquad-study/2023-CS-Study

  신입 개발자 면접 대비 CS 스터디 👨🏻‍💻👩🏻‍💻 🔥

  Language:Java99368

• codingmonster-tv/Awesome_Resume_Portfolio

  개발자를 위한 이력서 작성 가이드, 포맷 그리고 다양한 예시들

  1.7k114

• daterminal/kocowa_clone

  Language:HTML1

• snudm-starlab/FCNN

  Language:Python21

• duynguyen-0203/bert-lstur

  Neural News Recommendation with Long- and Short-term User Representations

  Language:Python5

• sooftware/attentions

  PyTorch implementation of some attentions for Deep Learning Researchers.

  Language:Python51170

• SS-00-SS/MBCGCN

  MBCGCN

  Language:Python124

• MingshiYan/CRGCN

  Cascading Residual Graph Convolutional Network for Multi-Behavior Recommendation

  Language:Python102

• RUCAIBox/DPGNN

  Codes of Modeling Two-Way Selection Preference for Person-Job Fit

  Language:Python298

• gordicaleksa/pytorch-GAT

  My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

  Language:Jupyter Notebook2.4k327

• meettyj/HGMAE

  Code & data for AAAI'23 Oral paper "Heterogeneous Graph Masked Autoencoders".

  Language:Python475

• LunaBlack/KGAT-pytorch

  Language:Python32573

• xiangwang1223/knowledge_graph_attention_network

  KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019

  Language:Python1.1k312

• hwwang55/KGCN

  A tensorflow implementation of Knowledge Graph Convolutional Networks

  Language:Python480149

• wusw14/GNN-in-RS

  27865

• guoyang9/BPR-pytorch

  A pytorch implementation for BPR (Bayesian Personalized Ranking).

  Language:Python13626

• snudm-starlab/NL

  Language:Python311