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flvis

FLVIS: Feedback Loop Based Visual Initial SLAM

forecasting-human-object-interaction-in-fpv

fpga-biorobots

Hybrid bio-inspired architecture for robots using open source FPGAs. Master thesis & IROS 2018 publication.

ga-tspcpp

Genetic Algorithm with modified operators for an integrated Traveling Salesman and Coverage Path Planning Problem

gan-tutorial

Very Simple Implementation of GAN, DCGAN, CGAN, WGAN, infoGAN and etc. with pyTorch for only MNIST.

gan_tutorial

Tensorflow example of a conv GAN on MNIST.

ganotebooks

wgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch

gans

Generative Adversarial Networks implemented in PyTorch and Tensorflow

gans-tensorflow

Implemented vanilla GAN, LSGAN and DCGAN on MNIST -part of the assignment of cs231n-2017.

garage

A toolkit for reproducible reinforcement learning research

gasyori100knock

画像処理100本ノックして画像処理を画像処理して画像処理しませんか

gatedpixelcnnpytorch

PyTorch implementation of "Conditional Image Generation with PixelCNN Decoders" by van den Oord et al. 2016

gaussian-object-modelling

Simple Gaussian Process representations for object properties and uses

gaussian-processes

Gaussian Process Implicit Surfaces Project

gaussian_processes_tutorial

gcloud

Google Cloud tutorial and setup

gcn

Implementation of Graph Convolutional Networks in TensorFlow

gelsight_driver

generalized-procrustes-muse

generative-and-discriminative-voxel-modeling

Voxel-Based Variational Autoencoders, VAE GUI, and Convnets for Classification

generative-models

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

generative_adversarial_networks_101

Keras implementations of Generative Adversarial Networks. GAN, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.

genre-shapehd

Code and data release for GenRe (NeurIPS 2018) and ShapeHD (ECCV 2018)

gigadrillbreak

some mysterous code that can decide human's future....

glow

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

gmm-torch

Gaussian mixture models in PyTorch.

gnnpapers

Must-read papers on graph neural networks (GNN)

goingdeeperwpointnetworks

This project releases the code for the Paper "Going Deeper with Point Networks"

gp

A tutorial about Gaussian process regression

gp-1

Differentiable Gaussian Process implementation for PyTorch