2019-blind-2nd-elevator

2019 카카오 블라인드 공채 2차 오프라인 Elevator 문제입니다.

biology

boo_ai_te

codingtest

contoso-chat

This sample has the full End2End process of creating RAG application with Prompt Flow and AI Studio. It includes GPT 3.5 Turbo LLM application code, evaluations, deployment automation with AZD CLI, GitHub actions for evaluation and deployment and intent mapping for multiple LLM task mapping.

dacon_behavioral_data_analysis

AUC=0.754 (리더보드 6위) :computer:

dacon_bittrader

dacon_konli

데이콘 한국어 문장 관계 분류 경진대회 2위 솔루션

dacon_parking_demand

dacon_restaurant_num_people

dacon_sloan-digital-sky-survey_sdss

DeepLearning

demo-dialogue-state-tracking

demo-dst-frontend

Frontend implemented with Vue.js

edit_chan_dst

fastpitch_custom

moonjaehoon

moonjaehoon.github.io

p2-klue

Relation Extraction (문장 내 개체간 관계 추출) :koala:

p3-dst-freshtomato

Dialogue State Tracking, DST :racehorse:

p4-dkt-freshtomato

Deep Knowledge Tracing :school_satchel:

pnu-jaehoon

크롤링 & 감정분석

self_practice_ml_dl

til

from 2021_01

til_nbc

transformer

Implementation of "Attention Is All You Need" using pytorch

transformer-evolution

Transformer 이후 나온 Pretrained Language Model을 간단하게 구현하였음.

various-ml-model-comparing-accuracy

with_heart disease data