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This's a re-implementation of generative adversarial networks using tensorflow.
Must-read papers on graph neural networks (GNN)
GNN综述阅读报告
《深入浅出图神经网络:GNN原理解析》配套代码
:book: [译] Sklearn 与 TensorFlow 机器学习实用指南【版权问题,网站已下线!!】
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
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.
Notebooks and code for the book "Introduction to Machine Learning with Python"
An open-source toolkit, led by Kitware, Inc., for the segmentation, registration, and analysis of tubes and surfaces in images.
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)
Deep Learning for humans
Keras implementations of Generative Adversarial Networks.
Machine Learning Toolkit for Kubernetes
An implement of paper "Multi-level Contextual 3D CNNs for False Positive Reduction in Pulmonary Nodule Detection"
Multi-layer perceptron model for photo-voltaic material properties prediction.
Tutorial for performing machine learning to predict band gaps from the K computer double perovskite dataset
Code for the Make Your Own Neural Network book
基于Tensorflow的深度学习
Open MMLab Detection Toolbox
Models and examples built with TensorFlow
Graph neural network (GNN) for molecular property prediction (3D structure)
The code of a graph neural network (GNN) for molecules, which is based on learning representations of r-radius subgraphs (i.e., fingerprints) in molecules.
Predicting Organic Reaction Outcomes with Weisfeiler-Lehman Network (NIPS 2017)
无人监考团队的存储库
Code repo for optimizing distributions of molecules.
Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Python Machine Learning - Second Edition, published by Packt
:notebook_with_decorative_cover: 在学院的书架上发现了一本不带脑子就能看懂的书《Python数据挖掘与实战》
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.