chrinide Goto Github PK

gdis

A visualization program for the display, manipulation, and analysis of isolated molecules and periodic structures

gecco-public

public version of our general contraction code project

generatepoem

机器生成唐诗

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

geomconvert

A python utility to convert between XYZ and Z-matrix geometries.

geometric

Geometry optimization code that includes the TRIC coordinate system

gestalt

A helper library for data science pipeline

gfcc

Green’s Function Coupled Cluster Library

gfmm

Implementation of a General Fuzzy Min-Max Neural Network using numpy.

gimic

Gauge-including magnetically induced currents.

giop

Offline Gaussian IOps Reference

glmnet_python

glrm

gmtkn

GMTKN test sets in python

gnebit

Support software for Nudged Elastic Band (NEB) Methods of GAMESS (US).

godatabase

Geometry Optimization Database

goodvibes

Calculate quasi-harmonic free energies from Gaussian output files with temperature and other corrections

goptimizer

Tool to use the Gaussian 09 geometry optimizer with energy and force supplied by an external program.

gpflowopt

Bayesian Optimization using GPflow

gplearn

Genetic Programming in Python, with a scikit-learn inspired API

gpo-smc-abc

Bayesian optimisation for fast approximate inference in state-space models with intractable likelihoods

gpyopt-1

Gaussian Process Optimization using GPy

graph-data-analysis

Worked with a number of real-world datasets available at http://snap.stanford.edu/ to identify the importance of certain nodes in terms of their degree, betweenness, closeness centralities and clustering co-efficient. • Studied the different random graph generator models to identify the best synthetic random graph generator that reflects real-world datasets better and experimented it with the large social networking sites such as Facebook. • Visualized the graphs using tools such as Gephi, Cystoscape and GraphViz and experimented with different layouts to identify the best visualization layout that distinguishes the critical characteristics of the network.

graph-embedding

Learning graph embedding using DeepWalk or Node2Vec

graph-tool

Graph tool repo, modified

graphengine

Graph Algorithms Visualizer [school]

graphlab

ML: Machine-learning with graphlab

graphlab-1

Machine Learning Applications with GraphLab

graphlab-2

graphlab-3

* See all my Machine Leaning projects ! : Adaboost ensemble, Latent Dirichlet Allocation, Decision tree, Kmean, Logistic Regression, Latent Dirichlet Allocation , TF-IDF, Clustering, Image classification, Sentiment analysis, Recommendation, Gaussian Mixture Model, Nearest neighbors.