flyinggh Goto Github PK

gluon_step_by_step

codebase used when I learn Gluon and MXNet.

gmap-road-bev-generator

Google Maps Road BEV Generator

gmflow

[CVPR'22 Oral] GMFlow: Learning Optical Flow via Global Matching

gms-feature-matcher

GMS: Grid-based Motion Statistics for Fast, Ultra-robust Feature Correspondence (CVPR 17 & IJCV 20)

gn-net-benchmark

Additional Code for the GN-Net benchmark. The data is available at http://vision.in.tum.de/gn-net

gnerf

[ ICCV 2021 Oral ] Our method can estimate camera poses and neural radiance fields jointly when the cameras are initialized at random poses in complex scenarios (outside-in scenes, even with less texture or intense noise )

gnn-for-pose-graph-optimization

gnni-vslam

gnss-ins-sim

Open-source GNSS + inertial navigation, sensor fusion simulator. Motion trajectory generator, sensor models, and navigation

gnss_imu

A repository for launching GNSS/IMU Tightly-coupled localization method aided with fisheye camera on ROS

go-slam

[ICCV2023] GO-SLAM: Global Optimization for Consistent 3D Instant Reconstruction

gogfs

A simple implementation of the Google File System in golang

google_mapls_location_intelligence_using_computer_vision

find nearest road/building considering you are at the centre point of the location

gopro_ros

Extacting synchronized Images and IMU data from GoPro Video for VIO

gplogpolarpoc

Scale & Rotate invariant Image matching using Openframewrks.

gps_pose_to_local

GPS and imu position and orientation convert to local camera frame

gpt-fast

Simple and efficient pytorch-native transformer text generation in <1000 LOC of python.

gpt-kaparthy

A follow along with Kaparthy's tutorial under the guidance of Prof. Simon Dennis

gpt-sovits

1 min voice data can also be used to train a good TTS model! (few shot voice cloning)

gpt4free

The official gpt4free repository | various collection of powerful language models

gpu-based-feature-extraction-for-vins-vio

gpu-kmeans

Computing KMeans in CUDA

gpus-kmeans

grabcut

Automatically exported from code.google.com/p/grabcut

grammarcnn

A CNN model for code generation.

graphcoreg

Graphs are widely in use to model related instances of data attributed with properties providing rich spatial information. While a lot of classical graph-related problems have been solved with the advent of Graph Neural Networks (GNN), Spatio-Temporal data poses a new challenge. We propose GraphCoReg: a novel methodology to perform regression on sp

graphene

Vulkan render graph shenanigans

graphmm-master

GraphMM: Graph-based Vehicular Map Matching by Leveraging Trajectory and Road Correlations

greensprout

A traffic monitoring program on lane scale, including map-matching, object detection (YOLO) and lane-detection.

grok-1

Grok open release