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advbayeslearn

Course material for the PhD course Advanced Bayesian Learning at Linköping University

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-terminology-database

The English-Chinese paired terminologies in Artificial Intelligence Domain

arxiv-sanity-preserver

Web interface for browsing, search and filtering recent arxiv submissions

astsa

R package to accompany Time Series Analysis and Its Applications: With R Examples

awesome

😎 Awesome lists about all kinds of interesting topics

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-public-datasets

A topic-centric list of HQ open datasets.

awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

awesome-rl

Reinforcement learning resources curated

beautiful-visualization-with-r

《R语言数据可视化之美》配套代码

beginners-pytorch-deep-learning

Repository for scripts and notebooks from the book: Programming PyTorch for Deep Learning

bookrepo

cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5

common

My common Matlab functions.

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

coursera-ml

Exercises of Machine Learning Course taught by Prof. Andrew Ng on Coursera.

data-visualization

Collection of interactive Jupiter Notebook widgets and graphs.

datasets

TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deep-learning-with-pytorch

Deep Learning with PyTorch, published by Packt

deep-learning-with-pytorch-chinese

本仓库将PyTorch官方书籍《Deep learning with PyTorch》（基本摘录版）翻译成中文版并给出可运行的相关代码。

deep-learning-with-tensorflow-book

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

dimensionality_reduction_alo_codes

特征提取/数据降维:PCA、LDA、MDS、LLE、TSNE等降维算法的python实现

dlwpt-code

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

gpmat

Matlab implementations of Gaussian processes and other machine learning tools.

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.

handson-unsupervised-learning

Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media)