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numpy_exercises

Numpy exercises.

public

train 을 일반적으로 했을 때와 병렬로 성정했을 때 그리고 foreach문과 함께 썻을 때를 비교해보았다.

pydatadriftdetection

Python에서 Data Drift 탐지하기

pydetectcode

파이썬을 이용하여, 특정 코드와 매칭되는 코드 찾기

pykoranniversary

파이썬을 활용하여 한국 기념일 관리하기

pymc3_bayseian

Pymc3 package를 이용한 bayseian 방법론들

pyquery

파이썬을 이용하여 쿼리를 쉽게 만들어 보기

pyro_study

확률적 모델링 공부해보기

python_ai_for_crm

AI FOR CRM(Customer Relationship Management)

pytimeseries

python에서 시계열 분석 알고리즘 적용 및 정리하기

pytorch-fastcampus

PyTorch로 시작하는 딥러닝 입문 CAMP (2017.7~2017.12) 강의자료

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

pytorch-generative-model-collections

Collection of generative models in Pytorch version.

rblog

R 예제들

real-data-generate

이미지가 아닌 일반 데이터 생성

reinforcement-learning

Minimal and Clean Reinforcement Learning Examples

reinforcementzerotoall

repo-2017

Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano

salesslipmanagement

결제 영수증 관리하는 코드

soynlp

한국어 자연어처리를 위한 파이썬 라이브러리입니다. 단어 추출/ 토크나이저 / 품사판별/ 전처리의 기능을 제공합니다.

sphinx-test

sphinx 테스트 해보기

stanford-tensorflow-tutorials

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

sugartensor

A slim tensorflow wrapper that provides syntactic sugar for tensor variables. This library will be helpful for practical deep learning researchers not beginners.

super_tml

Tabular Data & Transfer Learning

tabnet_simple

TABNET 아키텍처 부분만 살펴보기

tabulargan

Synthetic data generation

tensorflow-book

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

tensorflow-examples

TensorFlow Tutorial and Examples for Beginners with Latest APIs

tensorflow-tutorials

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다