Financial data reader

Open Source Public Data Reader

A machine learning library for detecting anomalies in signals.

Draft of the fastai book

Feature selector is a tool for dimensionality reduction of machine learning datasets

Korean BERT pre-trained cased (KoBERT)

Generative Tensorial Reinforcement Learning (GENTRL) model

Anomaly Detection with R

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

Handbooks and Code Samples for Software Engineers wanting to learn the Keras Machine Learning framework

Plotnine replication of Financial Times Visual Vocabulary; Inspired by Vega

annotated-transformer-kr

📖The Big-&-Extending-Repository-of-Transformers: Pretrained PyTorch models for Google's BERT, OpenAI GPT & GPT-2, Google/CMU Transformer-XL.

Python library that makes it easy for data scientists to create charts.

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 Advers…

Deep Learning tutorial

Latex code for making neural networks diagrams

Beautiful visualizations of how language differs among document types.

TensorFlow code and pre-trained models for BERT

💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython

ElemNet is a 17-layered fully connected network for the prediction of formation energy (enthalpy) from elemental compositions only. This repository contains the model weights and a Jupiter notebook…

Code for the paper "Improved Techniques for Training GANs"

3차원 의료영상 데이터의 시각적 설명을 위한 3D LRP SW