tyytong

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

Language:PythonNOASSERTION2286800

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

Language:PythonApache-2.06046100

metabase

The simplest, fastest way to get business intelligence and analytics to everyone in your company :yum:

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kubeflow

Machine Learning Toolkit for Kubernetes

Language:TypeScriptApache-2.01409400

BentoML

The easiest way to serve AI apps and models - Build reliable Inference APIs, LLM apps, Multi-model chains, RAG service, and much more!

Language:PythonApache-2.0689500

kibana

Your window into the Elastic Stack

Language:TypeScriptNOASSERTION1955700

ASRT_SpeechRecognition

A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统

Language:PythonGPL-3.0770200

jpmml-evaluator

Java Evaluator API for PMML

Language:JavaAGPL-3.088700

sklearn2pmml

Python library for converting Scikit-Learn pipelines to PMML

Language:PythonAGPL-3.068300

go-python

naive go bindings to the CPython2 C-API

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flask

The Python micro framework for building web applications.

Language:PythonBSD-3-Clause6731900

parsel

Parsel lets you extract data from XML/HTML documents using XPath or CSS selectors

Language:PythonBSD-3-Clause111400

monetizing-machine-learning

Source code for 'Monetizing Machine Learning' by Manuel Amunategui and Mehdi Roopaei

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learn-keras-for-deep-neural-networks

Source Code for 'Learn Keras for Deep Neural Networks' by Jojo John Moolayil

Language:Jupyter NotebookNOASSERTION1200

GoSublime

A Golang plugin collection for SublimeText 3, providing code completion and other IDE-like features.

Language:GoMIT341600

Examples

"처음 배우는 머신러닝"의 예제들을 담았습니다.

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superset

Apache Superset is a Data Visualization and Data Exploration Platform

Language:TypeScriptApache-2.06118900

Python

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Flask-BookRecommend-Mysql

使用Flask，mysql构建的一个基于书籍，基于协同过滤算法，基于slope one的图书推荐系统

Language:Python27900

microblog

The microblogging application developed in my Flask Mega-Tutorial series. This version maps to the 2024 Edition of the tutorial.

Language:PythonMIT450100

wechat-iciba-everyday

使用微信模板消息接口将爱词霸每日一句推送至微信客户端

Language:Python4600

DXY-COVID-19-Crawler

2019新型冠状病毒疫情实时爬虫及API | COVID-19/2019-nCoV Realtime Infection Crawler and API

Language:PythonMIT199000

nCov

全国及各省新型肺炎疫情情况图(数据停止更新)

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ncov-push

微信推送nCoV实时疫情数据、新闻、辟谣等，支持自定义省份、城市。微信推送基于server酱，数据来源于丁香园

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