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an-introduction-to-statistical-learning

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

artificial-intelligence-deep-learning-machine-learning-tutorials

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

awesome-autonomous-vehicle

无人驾驶的资源列表中文版

awesome-decision-tree-papers

A collection of research papers on decision, classification and regression trees with implementations.

awesome-meta-learning

A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.

best-websites-a-programmer-should-visit

:link: Some useful websites for programmers.

books

整理一些书籍 ,包含 C&C++ 、git 、Java、Keras 、Linux 、NLP 、Python 、Scala 、TensorFlow 、大数据 、推荐系统、数据库、数据挖掘 、机器学习 、深度学习 、算法等。

build-your-own-x

Master programming by recreating your favorite technologies from scratch.

c-plus-plus

Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

cs-books-store

你想要的计算机经典书籍，这里都有！

deeplearning

Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现

deeplearning-1

深度学习入门教程, 优秀文章, Deep Learning Tutorial

docs

emacs

esl-cn

The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。

fishing_bahavior_detection

hellogithub

:octocat: 分享 GitHub 上有趣、入门级的开源项目

hfc666.github.io

image

images

islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

it_book

本项目收藏这些年来看过或者听过的一些不错的常用的上千本书籍，没准你想找的书就在这里呢，包含了互联网行业大多数书籍和面试经验题目等等。有人工智能系列（常用深度学习框架TensorFlow、pytorch、keras。NLP、机器学习，深度学习等等），大数据系列(Spark,Hadoop,Scala,kafka等)，程序员必修系列（C、C++、java、数据结构、linux，设计模式、数据库等等）

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

keep2notion

machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

ml-for-beginners

12 weeks, 24 lessons, classic Machine Learning for all

ml2022-spring

**Official** 李宏毅 (Hung-yi Lee) 機器學習 Machine Learning 2022 Spring

numpy-ml

Machine learning, in numpy

opencoursecatalog

Bilibili 公开课目录

painterengine

PainterEngine is a application/game engine with software renderer,PainterEngine can be transplanted to any platform that supports C