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data-science-from-scratch

"밑바닥부터 시작하는 데이터 사이언스" 예시 코드

deep-learning-from-scratch

『밑바닥부터 시작하는 딥러닝』(한빛미디어, 2017)

deep-learning-from-scratch-2

『밑바닥부터 시작하는 딥러닝 ❷』(한빛미디어, 2019)

deep-learning-with-javascript

<구글 브레인 팀에게 배우는 딥러닝 with TensorFlow.js>(길벗, 2022)의 코드 저장소

deep-learning-with-projects

deep-learning-with-python-notebooks

<케라스 창시자에게 배우는 딥러닝> 도서의 주피터 노트북

deep-rl-class

This repo contain the syllabus of the Hugging Face Deep Reinforcement Learning Class.

deep_learning_object_detection

A paper list of object detection using deep learning.

deeplsd

Implementation of the paper "DeepLSD: Line Segment Detection and Refinement with Deep Image Gradients"

demo-spark-analytics

Demo about realtime analytics of user behavior using elk stack/apache spark streaming+mllib/redis/slamdata

diffusion_policy

dku-kaggle-class

단국대 SW중심대학 2020년도 오픈소스SW설계 - 캐글뽀개기 수업 일정 및 강의자료

dlcv_new

do-it-dl

<Do it! 딥러닝 입문> 도서의 주피터 노트북

docs

TensorFlow documentation

dog-breed-prediction

In this project i have downloaded the data from kaggle to train and test the breed of the dogs, ferther details has been given in the code JUPYTER NOTEBOOK

doit_r

<Do it! 쉽게 배우는 R 데이터 분석> 저장소

doit_textmining

<Do it! 쉽게 배우는 R 텍스트 마이닝> 저장소

doitflutter2.0

2.0 버전업된 Doit Flutter 코드입니다.

draggan

Official Code for DragGAN (SIGGRAPH 2023)

dualcoder-pe.github.io

easy-few-shot-learning

Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.

easyvtuber

tha3, but run 40fps on 3080 with virtural webcam support

environmental-sound-classification

Environmental sound classification with Convolutional neural networks and the UrbanSound8K dataset.

ethereum-template

examcode

example-code-for-cs50

Example Code for Harvard's CS50(2018)

examples

TensorFlow examples

fabcar_example

fabric

Hyperledger Fabric is an enterprise-grade permissioned distributed ledger framework for developing solutions and applications. Its modular and versatile design satisfies a broad range of industry use cases. It offers a unique approach to consensus that enables performance at scale while preserving privacy.