kmtk49's repositories
StudyAI
report for rabbit challenge 2022#1
example-scripts
The official example scripts for the Numerai Data Science Tournament
discordpy-startup
Herokuでdiscord.pyを始めるテンプレート
backtesting.py
:mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.
ipython-books.github.io
IPython books website, by Cyrille Rossant
pycaret
An open-source, low-code machine learning library in Python
handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
alife_book_src
「作って動かすALife - 実装を通した人工生命モデル理論入門」サンプルコード
stable-baselines
A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
statistics-for-data-scientists
Code and data associated with the book "Statistics for Data Scientists: 50 Essential Concepts"
dl-in-a-sec
2019年5月発刊『図解速習DEEP LEARNING』(シーアンドアール研究所)のサポートサイトです。
data-science-from-scratch
code for Data Science From Scratch book
Practical-Statistics-for-Data-Scientists-with-MATLAB
This repository provides MATLAB code for the computation described in the book "Statistics for Data Scientists: 50 Essential Concepts." Original R code and data can be found here. https://github.com/andrewgbruce/statistics-for-data-scientists
deep-learning-from-scratch-2
『ゼロから作る Deep Learning ❷』(O'Reilly Japan, 2018)
100knocks-preprocess_ForColab-AzureNotebook
データサイエンス100本ノック(構造化データ加工編)For Azure_Notebook/Google_Colabo
nomeroff-net
Nomeroff Net. Automatic numberplate recognition system.
introduction_to_ml_with_python
Notebooks and code for the book "Introduction to Machine Learning with Python"
practical-statistics-for-data-scientists
Code repository for O'Reilly book