forlife-socialism's repositories
An-Introduction-to-Statistical-Learning
This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.
AI
《人工智能导论 》2019 Fall - 南开大学 - 软件学院
awesome-cs-courses-zh
计算机公开课推荐
Book
:green_book:我的个人书籍学习和收藏
books
"我的阅历"
computer-organization-lab
中山大学计算机组成原理实验 (2018 秋)：用 Verilog 设计并实现的简易单周期和多周期 CPU
d2l-zh
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被55个国家的300所大学用于教学。
datashine
《Python统计与数据分析实战》课程代码，包含了大部分统计与非参数统计和数据分析的模型、算法。回归分析、方差分析、点估计、假设检验、主成分分析、因子分析、聚类分析、判别分析、对数线性模型、分位回归模型以及列联表分析、非参数平滑、非参数密度估计等各种非参数统计方法。
deep-learning-homework
My solutions to the Deep Learning homework assignments at MSU. CSE 891-4, based on the Toronto Deep Learning course CSC413/2516 by Roger Grosse and Jimmy Ba.
DeepLearning
深度学习入门教程, 优秀文章, Deep Learning Tutorial
eBooks
eBook分享大集合：主要以IT领域经典书籍收藏，以备不时之需。
ESL-CN
The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。
ESL-Note
ESL-Note 是阅读 ESL中文版 的笔记。笔记中对书中出现的公式进行了详细的推导，习题也进行了求解，与中文版中的做法有所差异并且加入了知识补充和扩展部分。
ESL-The-Elements-of-Statistical-Learning
Note on The Elements of Statistical Learning written by Trevor Hastie, Robert Tibshirani and Jerome Friedman
go-ethereum
Official Go implementation of the Ethereum protocol
gradient_descent_viz
interactive visualization of 5 popular gradient descent methods with step-by-step illustration and hyperparameter tuning UI
hands-on-ml-zh
:book: [译] Sklearn 与 TensorFlow 机器学习实用指南【版权问题，网站已下线！！】
handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
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.
Lihang
Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]
lihang-code
《统计学习方法》的代码实现
Neural-Network-Learning-Distributed-Word-Representations
This assignment asked me to implement a linear embedding and the backpropagation computations for a neural language model and then run some experiments to analyze the learned representation
regularization_visualized
I find this visualization of L1 (lasso) and L2 (ridge) regularization better than the usual graphical one
Resource-Archive
学术资源归档，包括各类书籍的PDF等
the-gan-zoo
A list of all named GANs!