guchio3

naoya.taguchi's starred repositories

ohmyzsh

🙃 A delightful community-driven (with 2,300+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python, etc), 140+ themes to spice up your morning, and an auto-update tool so that makes it easy to keep up with the latest updates from the community.

Language:ShellMIT17096200

election2024

東京都知事選2024のリポジトリ

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chronon

Chronon is a data platform for serving for AI/ML applications.

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jnv

Interactive JSON filter using jq

Language:RustMIT460100

en.javascript.info

Modern JavaScript Tutorial

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usearch

Fast Open-Source Search & Clustering engine × for Vectors & 🔜 Strings × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍

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casual_inference

Do causal inference more casually.

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atmacup-15

Language:Jupyter NotebookMIT2500

TaskMatrix

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gonpy

Read and write Numpy binary files (.npy files) in Golang

Language:GoBSD-3-Clause5500

blog_os

Writing an OS in Rust

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polars

Dataframes powered by a multithreaded, vectorized query engine, written in Rust

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beartype

Unbearably fast near-real-time hybrid runtime-static type-checking in pure Python.

Language:PythonMIT252900

recsys-dataset

🛍 A real-world e-commerce dataset for session-based recommender systems research.

Language:PythonMIT29500

arxiv-utils

Meaningful titles for tabs and PDF downloads! Also supports tab search.

Language:JavaScriptMIT27300

gomockhandler

Mr. gomockhandler is the clever and more agile manager of golang/mock (uber/mock) 👔

Language:GoMIT10600

RSPapers

A Curated List of Must-read Papers on Recommender System.

MIT601500

atcoder_go

Go言語でのAtcoder参加用のデフォルトセットを作成

Language:Go800

handm_data_visualize_app

Data visualization app for H&M competition in kaggle

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120-Data-Science-Interview-Questions

Answers to 120 commonly asked data science interview questions.

362000

ttimer

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craftzdog-homepage

My homepage

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kaggle-solutions

🏅 Collection of Kaggle Solutions and Ideas 🏅

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pytorch-image-models

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

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EconML

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

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