Ryota Bannai's starred repositories

awesome

😎 Awesome lists about all kinds of interesting topics

numpy

The fundamental package for scientific computing with Python.

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OpenDevin

🐚 OpenDevin: Code Less, Make More

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fastText

Library for fast text representation and classification.

loguru

Python logging made (stupidly) simple

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onnx

Open standard for machine learning interoperability

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dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

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numpy-100

100 numpy exercises (with solutions)

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tsfresh

Automatic extraction of relevant features from time series:

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darts

A python library for user-friendly forecasting and anomaly detection on time series.

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featuretools

An open source python library for automated feature engineering

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causalml

Uplift modeling and causal inference with machine learning algorithms

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miri

An interpreter for Rust's mid-level intermediate representation

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python-causality-handbook

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.

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awesome-embedding-models

A curated list of awesome embedding models tutorials, projects and communities.

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hyperopt-sklearn

Hyper-parameter optimization for sklearn

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tensor-house

A collection of reference Jupyter notebooks and demo AI/ML applications for enterprise use cases: marketing, pricing, supply chain, smart manufacturing, and more.

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mealpy

A Collection Of The State-of-the-art Metaheuristic Algorithms In Python (Metaheuristic/Optimizer/Nature-inspired/Biology)

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evalml

EvalML is an AutoML library written in python.

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compose

A machine learning tool for automated prediction engineering. It allows you to easily structure prediction problems and generate labels for supervised learning.

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Nashpy

A python library for 2 player games.

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erdantic

Entity relationship diagrams for Python data model classes like Pydantic

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Obsidian-Code-Styler

A plugin for Obsidian.md for styling codeblocks and inline code

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building-search-system-book

「仕事ではじめる検索システム」という本があったなら,という想像の産物です -> 「検索システム ― 実務者のための開発改善ガイドブック」になりました

CodeblockCustomizer

Codeblock Customizer plugin for Obsidian

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adversarial-validation

Creating a better validation set when test examples differ from training examples

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airflow-ml-pipeline

The repository to learn Machine Learning with Airflow

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