701 Open source projects that are alternatives of or similar to Themlbook

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Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

[Book-2019] Pragmatic AI: An Introduction to Cloud-based Machine Learning

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《浅谈 TypeScript》在线电子手稿

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Minimal and clean examples of machine learning algorithms implementations

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本项目预计分享数千册电子书，98%以上为机械工业出版社原版电子书，其余为其它出版社出版的一些经典外文读物的原版译本电子书，每本书都配有当当网一键搜索，可查看书价格和简介。目前共计更新2542册图书

This is the Repository where you can find all the solution of the Problems which you solve on competitive platforms mainly HackerRank and HackerEarth

《深度学习与计算机视觉》配套代码

📖 U&I with React — UI components for you & I

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all the projects from Unity in Action 2nd edition

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Bootstrap yourself to write an OS from scratch. A book for self-learner.

《Python3 标准库》电子书和配套代码 "The Python Standard Library by Example" ebook and source code 一本又厚又全的讲解Python3标准库的书籍（1000多页）适合当作字典参考或者闲暇时慢慢阅读。

A simply budget app that predicts where the expenses are being made

Complete catalog of all classical patterns in the Archimate language

mlr3 manual

📘 电子书 -《Real-Time Rendering 3rd》提炼总结 | 全书共9万7千余字。你可以把它看做中文通俗版的《Real-Time Rendering 3rd》，也可以把它看做《Real-Time Rendering 3rd》的解读版与配套学习伴侣，或者《Real-Time Rendering 4th》的前置阅读材料。

A pocket guide to get started writing CSS Animations. ✨

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I have a dream, to be a novelist someday.

Collection of various algorithms in mathematics, machine learning, computer science, physics, etc implemented in C for educational purposes.

A curated list of almost all machine learning algorithms and deep learning algorithms grouped by category.

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Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

R package to interface with OpenML

A PureScript, browser-based implementation of LDA topic modeling.

「GitをSteins;Gateの世界観を使って説明する」薄い本

Time Series Forecast with Bitcoin value, to detect upward/down trends with Machine Learning Algorithms

This is a collection of some of the important machine learning algorithms which are implemented with out using any libraries. Libraries such as numpy and pandas are used to improve computational complexity of algorithms

List of Golang books

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A repo with tutorials for algorithms from scratch

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Escrita colaborativa de recursos educacionais abertos sobre cálculo numérico.

Machine learning plugins for network traffic

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.

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Python toolkit for pluggable algorithms and data structures for multimedia-based machine learning.

仿照"任阅"的追书、看书的小说阅读器。重写"任阅"的代码，优化代码逻辑和代码结构，降低内存使用率。重写小说阅读器，支持网络阅读、本地阅读(支持分章，虚拟分章)。支持仿真翻页、上下滚动翻页等翻页效果。支持小说断点续传功能。优化用户使用体验。

Code of the 'Practical Guide to Building an API Back End with Spring Boot' book

ParaMonte: Plain Powerful Parallel Monte Carlo and MCMC Library for Python, MATLAB, Fortran, C++, C.

Livro de NodeJS

Reference implementation of the paper VERSE: Versatile Graph Embeddings from Similarity Measures

A modular active learning framework for Python

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The Road to Learn React - Tradução para o Português

📕一款在任阅基础上改进的网络小说阅读器，采用Kt编写，支持听书，仿真翻页，插页图片等。欢迎 star or fork！

A curated list of repositories for my book Machine Learning Solutions.

Code of the second edition of Yii Application Development Cookbook

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

Examples to accompany the book "Haskell in Depth"