Pinned Repositories
banksim
Agent-Based model of the Banking System
Bayesian-Analysis-with-Python-Second-Edition
Bayesian Analysis with Python - Second Edition, published by Packt
bayesian-machine-learning
Notebooks about Bayesian methods for machine learning
Blog
This repository is meant to store the code examples used in articles posted on www.insidelearningmachines.com. Each article on the website will have an associated jupyter notebook here with the same name.
Deep-Learning-Paper-Review-and-Practice
꼼꼼한 딥러닝 논문 리뷰와 코드 실습
handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
nowcasting
papers
python101
hyunchangyi's Repositories
hyunchangyi/python101
hyunchangyi/papers
hyunchangyi/nowcasting
hyunchangyi/banksim
Agent-Based model of the Banking System
hyunchangyi/Bayesian-Analysis-with-Python-Second-Edition
Bayesian Analysis with Python - Second Edition, published by Packt
hyunchangyi/bayesian-machine-learning
Notebooks about Bayesian methods for machine learning
hyunchangyi/Blog
This repository is meant to store the code examples used in articles posted on www.insidelearningmachines.com. Each article on the website will have an associated jupyter notebook here with the same name.
hyunchangyi/Deep-Learning-Paper-Review-and-Practice
꼼꼼한 딥러닝 논문 리뷰와 코드 실습
hyunchangyi/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
hyunchangyi/dxy
hyunchangyi/ForecastingInflation
Forecasting Inflation in a data-rich environment: the benefits of machine learning methods
hyunchangyi/gensim
Topic Modelling for Humans
hyunchangyi/How-to-install-tensorflow-on-Windows
hyunchangyi/KoBERTopic
KoBERTopic은 BERTopic을 한국어 데이터에 적용할 수 있도록 토크나이저와 BERT를 수정한 코드입니다.
hyunchangyi/MachineLearningCrisisPrediction
hyunchangyi/ML_projection_toolbox
Simple wrapper for machine learning models in the context of lead-lag projection modelling.
hyunchangyi/NLP-Do-It-Yourself
Implement well-known NLP models from scratch with high-level APIs.
hyunchangyi/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
hyunchangyi/pymc
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara
hyunchangyi/resources
PyMC3 educational resources
hyunchangyi/stat_rethinking_2022
Statistical Rethinking course winter 2022
hyunchangyi/Stock-price-prediction-using-GAN
In this project, we will compare two algorithms for stock prediction. First, we will utilize the Long Short Term Memory(LSTM) network to do the Stock Market Prediction. LSTM is a powerful method that is capable of learning order dependence in sequence prediction problems. Furthermore, we will utilize Generative Adversarial Network(GAN) to make the prediction. LSTM will be used as a generator, and CNN as a discriminator. In addition, Natural Language Processing(NLP) will also be used in this project to analyze the influence of News on stock prices.
hyunchangyi/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.