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adv-financial-ml-marcos-exercises

Exercises of the book: Advances in Financial Machine Learning by Marcos Lopez de Prado

adv_fin_ml_exercises

Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]

advanced-deep-trading

Mostly experiments based on "Advances in financial machine learning" book

advances-in-financial-ml-notes

advances_in_financial_machine_learning

Exercises in 'Advances in Financial Machine Learning' by Lopez de Prado

causal-inference-with-python

아래 레포지토리를 fork하여, 주요내용을 요약하며 독학하고 있습니다.

copula_practice

nevermind me

copulas

A library to model multivariate data using copulas.

dqn

Reinforcement Learning for finance

easy-deep-learning-with-keras

Keras tutorial for beginners (using TF backend)

eitm

economic information text mining

finance_ml

Advances in Financial Machine Learning

finblog

ftrosa

An easy way to extract musical audio features using librosa

genre_classification

musical genre classification with GTZAN, FMA dataset

introduction-of-reinforcement-learning

강화학습 입문자를 위한 필요 개념들을 정리하였음.

jo-cho

jo-cho.github.io

website

jukebox

Code for the paper "Jukebox: A Generative Model for Music"

librosa

Python library for audio and music analysis

machine-learning-for-trading

Code for Machine Learning for Algorithmic Trading, 2nd edition.

memos

random memos

meta_labeling_simplified

Machine learning trading method using meta-labeling. You can see the details in 'Advances in Financial Machine Learning' by Lopez de Prado.

mir_kr

음악정보검색 (music information retrieval) 입문 노트북. 책 "Fundamentals of Music Processing", Müller, Meinard 한국어 번역.

mirblog

음악정보검색 블로그 템플릿

ml_finance_codes

Machine Learning in Finance: From Theory to Practice Book

music_source_separation_literatures

Music source separation literatures

nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

nlp-with-pytorch

<파이토치로 배우는 자연어 처리>(한빛미디어, 2021)의 소스 코드를 위한 저장소입니다.

nlp_study

자연어 처리 독학 기록