hulalazz Goto Github PK
Name: Zhang JinXiong(张金雄)
Type: User
Bio: Interested in application of mathematics including statistical machine learning, numerical optimization and data analysis.
Name: Zhang JinXiong(张金雄)
Type: User
Bio: Interested in application of mathematics including statistical machine learning, numerical optimization and data analysis.
Multi-Graph Convolutional Neural Networks
:books: Books that will blow your mind
Minerva: a fast and flexible tool for deep learning on multi-GPU. It provides ndarray programming interface, just like Numpy. Python bindings and C++ bindings are both available. The resulting code can be run on CPU or GPU. Multi-GPU support is very easy.
Minimal implementation of TensorFlow
The official online compendium for Mining the Social Web (O'Reilly, 2011)
A course on Optimization Methods
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
Machine Learning & Deep Learning Roadmap
ADMM based large scale logistic regression
:book: [译] 写给人类的机器学习
Bare bones Python implementations of Machine Learning models and algorithms. Aims to cover everything from Data Mining techniques to Deep Learning.
Coding the Machine Learning Tutorial for Learning to Learn
practical guides, tutorials, and code samples for ml4a
EPFL Machine Learning Course, Fall 2018
Code accompanying the book "Machine Learning for Hackers"
Minimal and clean examples of machine learning algorithms
A Chinese Notes of MLAPP,MLAPP 中文笔记项目 https://zhuanlan.zhihu.com/python-kivy
Materials for the course of machine learning at Imperial College organized by Yandex SDA
Machine Learning Algorithms implementations
Machine learning course materials.
大数据机器学习框架
H2O.ai Machine Learning Interpretability Resources
Udacity Machine Learning Nano Degree Courses
Tutorial code for Machine Learning and Optimization written in julia
Python and MATLAB code examples and demos from the textbook "Machine Learning Refined" (Cambridge University Press)
MLSS 2018 Madrid lecture materials on Generative Adversarial Networks (GANs)
Open MMLab Detection Toolbox
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
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.