A GPT-4 AI Tutor Prompt for customizable personalized learning experiences.

Statistical Rethinking course and book package

Python 3 youtube videos

📖An interactive companion to the well-received textbook 'Introduction to Econometrics' by Stock & Watson (2015)

Python Data Science Handbook: full text in Jupyter Notebooks

The Julia Programming Language

Probabilistic Numerics in Python.

Curated list of project-based tutorials

📚 Modern C++ Tutorial: C++11/14/17/20 On the Fly | https://changkun.de/modern-cpp/

计算机类常用电子书整理，并且附带下载链接，包括Java，Python，Linux，Go，C，C++，数据结构与算法，人工智能，计算机基础，面试，设计模式，数据库，前端等书籍

This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.

Crack LeetCode, not only how, but also why.

An R package to produce descriptive and comparative tables

What the f*ck Python? 😱

Fast inference for a common-factor stochastic volatility model

🌍 针对小白的算法训练 | 包括四部分：①.大厂面经 ②.力扣图解 ③.千本开源电子书 ④.百张技术思维导图（项目花了上百小时，希望可以点 star 支持，🌹感谢~）推荐免费ChatGPT使用网站

📚 Introduction to Modern Statistics - A college-level open-source textbook with a modern approach highlighting multivariable relationships and simulation-based inference.

bayesplot R package for plotting Bayesian models

A guide to using Git

code related to Keller's conjecture

code related to Keller's conjecture

A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods

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scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

UWaterloo NLP Reading Group.

Fit, Simulate and Diagnose Exponential-Family Models for Networks

AD computation with Template Model Builder (TMB)