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Name: Hongbin Liu
Type: User
Company: Nanjing Forestry University
Location: Nanjing
Name: Hongbin Liu
Type: User
Company: Nanjing Forestry University
Location: Nanjing
Course material for the PhD course Advanced Bayesian Learning at Linköping University
This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.
The English-Chinese paired terminologies in Artificial Intelligence Domain
Web interface for browsing, search and filtering recent arxiv submissions
R package to accompany Time Series Analysis and Its Applications: With R Examples
😎 Awesome lists about all kinds of interesting topics
:memo: An awesome Data Science repository to learn and apply for real world problems.
A curated list of awesome Deep Learning tutorials, projects and communities.
A curated list of awesome Machine Learning frameworks, libraries and software.
A topic-centric list of HQ open datasets.
A curated list of awesome Python frameworks, libraries, software and resources
Reinforcement learning resources curated
《R语言数据可视化之美》配套代码
Repository for scripts and notebooks from the book: Programming PyTorch for Deep Learning
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
My common Matlab functions.
A technical report on convolution arithmetic in the context of deep learning
Exercises of Machine Learning Course taught by Prof. Andrew Ng on Coursera.
Collection of interactive Jupiter Notebook widgets and graphs.
TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Deep Learning with PyTorch, published by Packt
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。
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.
特征提取/数据降维:PCA、LDA、MDS、LLE、TSNE等降维算法的python实现
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
Matlab implementations of Gaussian processes and other machine learning tools.
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.
Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media)
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.