afml

All the answers for exercises from Advances in Financial Machine Learning by Dr Marco Lopez de Parodo.

arae

Code for the paper "Adversarially Regularized Autoencoders (ICML 2018)" by Zhao, Kim, Zhang, Rush and LeCun

attnconvnet

Implementation of <AttnConvnet at SemEval-2018 Task 1 : Attention-based Convolutional Neural Networks for Multi-label Emotion Classification> by Yanghoon Kim et al., SemEval 2018

autodroid

Source code for the paper "Empowering LLM to use Smartphone for Intelligent Task Automation"

awesome-autodl

A curated list of automated deep learning (including neural architecture search and hyper-parameter optimization) resources.

books

Source code for 100+ books, kept here for quick reference

capsnet-tensorflow

A Tensorflow implementation of CapsNet(Capsules Net) in paper Dynamic Routing Between Capsules

cholib

conversation-tensorflow

TensorFlow implementation of Conversation Models

coursera-deep-learning-specialization

crypto_trading

dart-fss

한국 금융감독원에서 운영하는 다트(Dart) 시스템 크롤링을 위한 라이브러리

dart-scraper

한국 금융감독원에서 운영하는 다트(Dart) 시스템을 이용한 기업 재무제표 추출 프로그램

deep-learning-specialization-coursera

This repo contains the updated version of all the assignments/labs (done by me) of Deep Learning Specialization on Coursera by Andrew Ng. It includes building various deep learning models from scratch and implementing them for object detection, facial recognition, autonomous driving, neural machine translation, trigger word detection, etc.

deep_learning

deeplearning_study

Deep Learning in my own language

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

deeptrader

detectron2

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

feedforward

financedatareader

Financial data reader

financial_engineering

Study materials for financial engineering (Korean)

finml

Machine Learning Library for Finance

freqtrade

Free, open source crypto trading bot

gan_basic

Simple implementation of the original Generative Adversarial networks

hands-on-machine-learning-for-algorithmic-trading

Hands-On Machine Learning for Algorithmic Trading, published by Packt

machine-learning-for-trading

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

machine_learning_basics

Plain python implementations of basic machine learning algorithms

mlfinlab

MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.

mmcv

OpenMMLab Computer Vision Foundation