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glow-1

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

glsgan

Generalized Loss-Sensitive Generative Adversarial Networks (GLS-GAN)

gluon-api

A clear, concise, simple yet powerful and efficient API for deep learning.

gluon-cv

Gluon CV Toolkit

gluon-fashionai-attributes

gluon-nlp

NLP made easy

gm_submodular

gman

GANs with multiple Discriminators

gmfn

Pytorch code for our paper "Gated Multiple Feedback Network for Image Super-Resolution" (BMVC2019)

gmmn

Generative moment matching networks

gnn-model-explainer

gnn explainer

gntk

Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)

go

The Open Source Data Science Masters

go-neural

Neural network implementation on golang

google-research

Google AI Research

google_evolution

goturn

Source code for paper: Learning to Track at 100 FPS with Deep Regression Networks, Held, et al. ECCV 2016

gp-cake-project

Bayesian Effective Connectivity

gp-gan

Official Chainer implementation of GP-GAN: Towards Realistic High-Resolution Image Blending

gp4a

Code for NeurIPS 2019 paper: "Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes"

gpflow

Gaussian processes in TensorFlow

gplvm4manifold3d

Generating 3D CAD models with manifolds trained by Gaussian Process Latent Variable Models

gpr

Library for doing GPR (Gaussian Process Regression) in OCaml. Comes with a command line application.

gps

Guided Policy Search

gpstuff

GPstuff - Gaussian process models for Bayesian analysis

gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

gpt-2-colab

train gpt-2 in colab

gpt-2-keyword-generation

Method to encode text for GPT-2 to generate text based on provided keywords

gpt-2-output-dataset

Dataset of GPT-2 outputs for research in detection, biases, and more

gpt-3

GPT-3: Language Models are Few-Shot Learners