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blog

使用Issues来做博客记录

book3_fundamentals-of-mathematics

稿件基本稳定，欢迎提意见，会及时修改

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

dash-sample-apps

Open-source demos hosted on Dash Gallery

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

django-vue-tutorial

用 django-rest-framework 和 vue 搭建前后端分离的个人博客

django-vue.js

Securing Django and Vue.js Applications with Auth0

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

helloflask

《Flask Web 开发实战》Meta 仓库

homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

macro-macros

Project Folder Structure and Macros

mcmc

:exclamation: This is a read-only mirror of the CRAN R package repository. mcmc — Markov Chain Monte Carlo. Homepage: http://www.stat.umn.edu/geyer/mcmc/, https://github.com/cjgeyer/mcmc

modern-bayes

Modern Bayesian statistics, STA 360/602, Duke University, Department of Statistical Science

nbdev_t

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

project-management-system

A Project Management System built with Python and Django

sabaki

An elegant Go board and SGF editor for a more civilized age.

saspy-examples

Sample notebooks that show the capabilities of SASPy. Use these for learning and for validating your environment. And contribute your own!

xlsxwriter

A Python module for creating Excel XLSX files.