Global

中小学数学知识图谱 + 前置诊断：课标对齐、人教版一–九年级、531 知识点、2271 题、自适应诊断

Manim is an engine for precise programmatic animations, designed for creating explanatory math videos.

As part of model development, we evaluate our models on open research problems. We expanded these evaluations after performance on our existing mathematical evaluations saturated. Some outputs build upon earlier results produced by the models.

A community-maintained Python framework for creating mathematical animations.

This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."

邱锡鹏《神经网络与深度学习》第二版与通识版：电子书、章节目录、学习资源与勘误。

NumPy is the fundamental package for scientific computing with Python.

This is a path for those of you who want to complete the Data Science undergraduate curriculum on your own time, for free, with courses from the best universities in the World.

2021年最新总结，推荐工程师合适读本，计算机科学，软件技术，创业，思想类，数学类，人物传记书籍

This is aimed at promoting understanding of vector/matrix calculations and algorithms from the perspectives of matrix factorizations.

We designed the IBM Plex typeface carefully to meet our needs as a global tech company and express who we are as IBMers. It took two years and a lot of work to get here, but today, we have a signature typeface we’re proud of and excited to share with the world.

Awesome Math is a curated list of high-quality resources for learning, teaching, and doing mathematics. It covers pure mathematics, applied mathematics, computation, formal proof, and the use of AI in mathematics.

研究生数学建模，本科生数学建模、数学建模竞赛优秀论文，数学建模算法，LaTeX论文模板，算法思维导图，参考书籍，Matlab软件教程，PPT

中小学数学方法融会贯通 · 纯前端零依赖 · 参数化随机出题引擎

This project contains the code used to generate the explanatory math videos found on 3Blue1Brown.

This repository is a collection of open-source implementation of a variety of algorithms implemented in C++ and licensed under MIT License.

An open-source Data Science repository to learn and apply concepts toward solving real- world problems.

The repository is a collection of open-source implementations of a variety of algorithms implemented in C and licensed under GPLv3 License.

until forever. Exceptional understanding of French with the flawless accent implies correct exposure to exceptional French and flawless accent. Similarly, great AI Researchers & engineers with excellent problem-skills imply quality knowledge consumed and exposure rich experience.

This project has not provided a description yet.

南瓜书：《机器学习》（西瓜书）公式详解

Introductory text for Kalman and Bayesian filters. All code is written in Python, and the book itself is written using Jupyter Notebook so that you can run and modify the code in your browser. What better way to learn?

pix2tex: Using a ViT to convert images of equations into LaTeX code.

We are in the process of writing a book on Mathematics for Machine Learning that motivates people to learn mathematical concepts. The book is not intended to cover advanced machine learning techniques because there are already plenty of books doing this.

互联网上的免费书籍

And many more people helped on the SymPy mailing list, reported bugs, helped organize SymPy's participation in the Google Summer of Code, the Google Highly Open Participation Contest, Google Code-In, wrote and blogged about SymPy...

Note: MathJax code development is performed in the MathJax-src repository. This repository holds the packaged version of MathJax, along with the main issue tracker for MathJax bugs.

Book4《矩阵力量》 | 鸢尾花书：从加减乘除到机器学习；上架！

0-rc2, Mathlib, and Lake. With elan installed, fetch the mathlib cache and build the formalizations with:

These implementations are for demonstrative purposes only. Dedicated implementations of these algorithms and data structures are much better for performance and security reasons. We also do not provide any guarantee for api stability.