cheukwaylee Goto Github PK

latex-ocr

pix2tex: Using a ViT to convert images of equations into LaTeX code.

learnviorb

lin_workingstd

lin_ws

LIN's HW

lk-orb-slam2

llvm-metadata-visualizer

LLVM Metadata Visualizer

lsd_slam

LSD-SLAM

matlabquadsimap

MATLAB files for simulating a 3DRobotics ArduPilot based quadrotor

nanogpt

The simplest, fastest repository for training/finetuning medium-sized GPTs.

okvis

OKVIS: Open Keyframe-based Visual-Inertial SLAM.

orb-ygz-slam

orb_slam2

Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities

orb_slam2-1

from https://gitee.com/paopaoslam/ORB-SLAM2 注释版，Ubuntu/Windows

orb_slam2_detailed_comments

Detailed comments for ORB-SLAM2 with trouble-shooting, key formula derivation, and diagrammatic drawing

orb_slam3

ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM

orb_slam3-rgbd-inertial

RGBD-inertial mode and its ROS interface was added to ORB_SLAM3. Two ROS interfaces Mono_inertial and Stereo_inertial were provided. Modified the loading vocabulary in a faster binary way.

orb_slam3_detailed_comments

Detailed comments for ORB-SLAM3

orb_slam_2_ros

ROS interface for ORBSLAM2!!

orb_slam_2_ros-1

A ROS implementation of ORB_SLAM2

orbslam2-with-lk-optical-flow

This project is modified from orbslam2. All dependencies are consistent with orbslam2

pangolin-0.5

fix compiling issues for orbslam2 with ubuntu20.04

powerful-gnns

How Powerful are Graph Neural Networks?

programl

A Graph-based Program Representation for Data Flow Analysis and Compiler Optimizations

pygat

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

pytorch-lr-finder

A learning rate range test implementation in PyTorch

pytorch_geometric

Graph Neural Network Library for PyTorch

qin_ws

rgbd_ptam

Python implementation of RGBD-PTAM algorithm

roboto-balancing-robot-kalman

roboto_standard_robot_control

Project containing the files that implement the comunication of the board with external devices (e.g. motors) and the control algorithms to control chassis and gimbal movements.