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Zhang JinXiong(张金雄)'s Projects

github icon github

GitHub 漫游指南- a Chinese ebook on how to build a good build on Github. Explore the users' behavior. Find some thing interest.

glow icon glow

Compiler for Neural Network hardware accelerators

gluon-fr icon gluon-fr

An unofficial Gluon FR Toolkit for face recognition.

gnnpapers icon gnnpapers

Must-read papers on graph neural network (GNN)

go icon go

The Open Source Data Science Masters

gold-miner icon gold-miner

掘金翻译计划,翻译掘金上优质的英文文章

goldendict icon goldendict

A feature-rich dictionary lookup program, supporting multiple dictionary formats (StarDict/Babylon/Lingvo/Dictd) and online dictionaries, featuring perfect article rendering with the complete markup, illustrations and other content retained, and allowing you to type in words without any accents or correct case.

gpytorch icon gpytorch

A highly efficient and modular implementation of Gaussian Processes in PyTorch

graddescentr icon graddescentr

R package implementing Gradient Descent and its variants for regression tasks

gradient_descent icon gradient_descent

An IPython notebook showing the basics of implementing gradient descent and stochastic gradient descent in Python

graphgan icon graphgan

A tensorflow implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets)

graphpipe icon graphpipe

Dead Simple ML Model Serving via a Standard Protocol

graphsage icon graphsage

Representation learning on large graphs using stochastic graph convolutions.

grf icon grf

Generalized Random Forests

growth-ebook icon growth-ebook

Growth: 全栈增长工程师指南。Growth: Learning How to be a Growth Full Stack in 7 Steps.

gt-nlp-class icon gt-nlp-class

Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"

gtzan.keras icon gtzan.keras

[REPO] Music Genre classification on GTZAN dataset using CNNs

guava icon guava

Google core libraries for Java

h2o-3 icon h2o-3

Open Source Fast Scalable Machine Learning Platform For Smarter Applications (Deep Learning, Gradient Boosting, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles, Automatic Machine Learning (AutoML), ...)

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