Ryota Bannai (RyotaBannai)

RyotaBannai

Geek Repo

Company:GHELIA INC.

Location:Asia

Home Page:https://atcoder.jp/users/Ryota_Bannai

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Ryota Bannai's repositories

competitive-programming-grader

Competitive Programming Grader for automating coding-build-testing loop.

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haskell

The playground for Haskell

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ad

Codes relevant to automatic differentiation

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atcoder

Solutions on AtCoder

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awesome-bits

:computer: A curated list of awesome bitwise operations and tricks

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awesome-public-datasets

A topic-centric list of HQ open datasets in public domains. PR ☛☛☛

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cargo-compete

A Cargo subcommand for competitive programming

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cargo-equip

A Cargo subcommand to bundle your code into one `.rs` file for competitive programming

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competitive-library

competitive programming library

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CS231

Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

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deep-learning-from-scratch-2

『ゼロから作る Deep Learning ❷』(O'Reilly Japan, 2018)

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deep-learning-with-pytorch-ja

deep-learning-with-pytorchの日本語版repositoryです。

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design-patterns

The playground for Design Patterns

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dl

Playground for Deep Learning

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GDL_code

The official code repository for examples in the O'Reilly book 'Generative Deep Learning'

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interpretable-ml-book-ja

Japanese translation for book about interpretable machine learning by Christoph Molnar. Main branch is `japanese` branch not `master` branch. If you are interested in translation activity, see `developer_guide.md` in `japanese` branch.

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julia

The playground for Julia programming language

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lasso

This is implementation of Coordinate Descent for Lasso.

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library

CompetitiveProgramming C++ Library

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mdpd

a simple tool for convert markdown table to pandas

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ml

Collective ML projects

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mlrefined

Jupyter notebooks, Python and MATLAB code examples, and demos from the textbook "Machine Learning Refined" (Cambridge University Press). See our blog https://jermwatt.github.io/mlrefined/index.html for interactive versions of many of the notebooks in this repo.

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mord

Ordinal regression algorithms

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opt

Playground for optimization problems

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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 ;)

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r

Playground for R

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viz-madb

https://mediag.bunka.go.jp/madb_lab/ のデータを分析してJupyter Bookとして公開する

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