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ai

《人工智能导论 》2019 Fall - 南开大学 - 软件学院

an-introduction-to-statistical-learning

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

awesome-cs-courses-zh

计算机公开课推荐

awesome-machine-learning-1

Learning Resources And Links Of Machine Learning（updating）

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

coursera-ng-improving-deep-neural-networks-hyperparameter-tuning-regularization-and-optimization

Short description for quick search

cpu

csc321

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

ethereum-analysis

以太坊源码分析文档库

ethereum_read

以太坊源码研读

ethon

EthOn - The Ethereum Ontology

gan-final

generative-adversarial-network-based-synthesis-for-supervised-medical-image-segmentation

Code for the paper 'Generative Adversarial Network based Synthesis for Supervised Medical Image Segmentation'

go-ethereum

Official Go implementation of the Ethereum protocol

go-ethereum-code-analysis

以太坊源码分析（go语言）

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.

it-material

技术资料收集