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geodistance

A python library for comupting distance and azimuth

geomapnet

Geometry-Aware Learning of Maps for Camera Localization (CVPR2018)

geonotebook

A Jupyter notebook extension for geospatial visualization and analysis

geoplot

High-level geospatial data visualization library for Python.

geospatial

A collection of Python packages for geospatial analysis and data visualization

get-another-label

Quality control code for estimating the quality of the workers in crowdsourcing environments

gfcc

Gammatone feature for robust speech recognition

ggraph

Graph visualization of big messy data

gif

✨ Better animated Matplotlib gifs

giotto-tda

A high performance topological machine learning toolbox in Python

git_code

This is my code repository.It contains java,android,c code

git_repository_run_logs

gitignore

A collection of useful .gitignore templates

gittestremote

This is planet test git

giza-pp

GIZA++ is a statistical machine translation toolkit that is used to train IBM Models 1-5 and an HMM word alignment model. This package also contains the source for the mkcls tool which generates the word classes necessary for training some of the alignment models.

global-encoding

glove

GloVe model for distributed word representation

glove-python

Toy Python implementation of http://www-nlp.stanford.edu/projects/glove/

glow

Code for reproducing results in "Glow: Generative Flow with Invertible 1x1 Convolutions"

glumpy

Python+Numpy+OpenGL: fast, scalable and beautiful scientific visualization

gluon-cv

Gluon CV Toolkit

gluon-nlp

NLP made easy

gluon-ts

Probabilistic time series modeling in Python

gluon-tutorials-zh

通过MXNet/Gluon来动手学习深度学习

gman

GANs with multiple Discriminators

gmm

A specializer for Gaussian Mixture Models, based on the ASP framework

gmm-adaptation

Quasi-Bayesian Adaptation and MLLR Adaptation

gmn

Generative Matching Networks

gnatsd

High-Performance server for NATS, the cloud native messaging system.

gnn-benchmark

Framework for evaluating Graph Neural Network models on semi-supervised node classification task