Beautiful and accessible math in all browsers
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Updated
Jun 27, 2020
Beautiful and accessible math in all browsers
A collection of algorithms and data structures
Create beautiful diagrams just by typing mathematical notation in plain text.
OpenGL Mathematics (GLM)
A curated list of awesome mathematics resources
A repository for All algorithms implemented in Javascript (for educational purposes only)
Code for A Programmer's Introduction to Mathematics
人工智能学习路线图,整理近200个实战案例与项目,免费提供配套教材,零基础入门,就业实战!包括:Python,数学,机器学习,数据分析,深度学习,计算机视觉,自然语言处理,PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域
Encyclopedia @rsapkftica.
Powerful modern math library for PHP: Features descriptive statistics and regressions; Continuous and discrete probability distributions; Linear algebra with matrices and vectors, Numerical analysis; special mathematical functions; Algebra
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
Mirror of the Sage source tree -- please do not submit PRs here -- everything must be submitted via https://trac.sagemath.org/
Study E-Book(ComputerVision DeepLearning MachineLearning Math NLP Python ReinforcementLearning)
Runnable code for solving Project Euler problems in Java, Python, Mathematica, Haskell.
The official repository for ROOT: analyzing, storing and visualizing big data, scientifically
A list of resources in different fields of Computer Science (multiple languages)
Library for the analysis of networks
Multi-class confusion matrix library in Python
Attempting to make the Deep Learning Book easier to understand.
Mish: A Self Regularized Non-Monotonic Neural Activation Function
CoCalc: Collaborative Calculation in the Cloud
Some awesome AI related books and pdfs for learning and downloading
This coq library aims to formalize a substantial body of mathematics using the univalent point of view.
CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python or Matlab/Octave.
L-BFGS-B for TensorFlow or pure C++11 and other optimization methods
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