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gbscli

GreedyBandit Service command-line interface

gefs

Generative Forests in Python

generative-models-collection

PyTorch implemented generative models for CelebA dataset: DCGAN, LSGAN, WGAN, WGANGP, InfoGAN, BEGAN, VAE, VAEGAN

genericimplicitrepresentation

Code for "Generalised Implicit Neural Representations" (NeurIPS 2022).

genrl-bandit

A PyTorch reinforcement learning library for generalizable and reproducible algorithm implementations with an aim to improve accessibility in RL

gensim

Topic Modelling for Humans

geoplotlib

python toolbox for visualizing geographical data and making maps

geopython

Spatial/Geo Python explorations

gflownet

Generative Flow Networks

ginza

A Japanese NLP Library using spaCy as framework based on Universal Dependencies

gitpod

gluon-ts

GluonTS - Probabilistic Time Series Modeling in Python

gluon2pytorch

Gluon to PyTorch deep neural network model converter

gnn_in_neurips_2019

A comprehensive collection of GNN works in NeurIPS 2019.

google-cloud-python

Google Cloud Client Library for Python

google-maps-services-python

Python client library for Google Maps API Web Services

google-quest-qa-labeling

Repository for the "Google QUEST Q&A Labeling" Kaggle competition.

google-research

Google AI Research

google-translate-api

A free and unlimited API for Google Translate :dollar::no_entry_sign:

gp-gomea

Genetic Programming version of GOMEA. Also includes standard tree-based GP, and Semantic Backpropagation-based GP

gp-vae

TensorFlow implementation for the GP-VAE model described in https://arxiv.org/abs/1907.04155

gpboost

Combining tree-boosting with Gaussian process and mixed effects models

gpstocks

Using Genetic Programming for Securities Analysis

gptrees

Genetic Programing Trees training

gpytorch

A highly efficient and modular implementation of Gaussian Processes in PyTorch

gran-dag

graph-embedding-blogs

Jupyter notebooks that support my graph data science blog posts at https://bratanic-tomaz.medium.com/

graph-lstm

LSTM implementation, and multi-layer LSTMs for learning on graph neighborhoods

graphical-lasso-in-finance

Implementations of the graphical lasso method to estimation of covariance matrices in finance.

graphner