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annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

bert_chatbot

chatbot

cs_13

data_analytics

deeplearning_from_scratch

밑바닥부터 시작하는 딥러닝 정리

djangosource

dl

experiment

htmlsource

javascript

javasource

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.

leetcode

llama-inference

A simple implementation of Llama 1, 2. Llama Architecture built from scratch using PyTorch all the models are built from scratch that includes GQA (Grouped Query Attention) , RoPE (Rotary Positional Embeddings) , RMS Norm, FeedForward Block, Encoder (as this is only for Inferencing the model) , SwiGLU (Activation Function),

marchine_learning

medical-dialogue-system

example model train code

mindongryul

oraclesource

python-scraping

Code samples from the book Web Scraping with Python http://shop.oreilly.com/product/0636920034391.do

pythonsource

pythonworkstation

springsource

springsource1

stove

Machine learning modeling, visualization

streamlit

torch

web-with-fastapi

『FastAPI를 사용한 파이썬 웹 개발』(한빛미디어, 2023) 예제 코드 저장소입니다.