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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

gpt-neo

An implementation of model parallel GPT2& GPT3-like models, with the ability to scale up to full GPT3 sizes (and possibly more!), using the mesh-tensorflow library.

gpt-neox

An implementation of model parallel GPT-3-like models on GPUs, based on the DeepSpeed library. Designed to be able to train models in the hundreds of billions of parameters or larger.

gpt4all

gpt4all: a chatbot trained on a massive collection of clean assistant data including code, stories and dialogue

gpu-mux

gpy

Gaussian processes framework in python

gpytorch

A highly efficient and modular implementation of Gaussian Processes in PyTorch

gqcnn

Python modules for GQ-CNN training and deployment, with ROS integration

grab

GRAB: A Dataset of Whole-Body Human Grasping of Objects

grad-cam

Gradient-based Visualization and Localization

grad-cam-1

Gradient-weighted Class Activation Mapping (Grad-CAM)

grad-cam.tensorflow

Implementation of Grad CAM in tensorflow

gradcam.pytorch

Pytorch Implementation of Visual Explanations from Deep Networks via Gradient-based Localization

gradient-checkpointing

Make huge neural nets fit in memory

gradient-free-optimizers

Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.

gradientdomaincloning

gradientepisodicmemory

Continuum Learning with GEM: Gradient Episodic Memory

gradio

Create UIs for prototyping your machine learning model in 3 minutes

gradnet-tensorflow

The code of GradNet based on Tensorflow