Pinned Repositories
AnyLoc
blog
byol-pytorch
Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch
coursera-ml
Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
detectron2
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
Detic
Code release for "Detecting Twenty-thousand Classes using Image-level Supervision".
EECS553-Reproducibility-Spectral-Clustering
Feature-Extraction
Masked-LIO-SAM
dom-lee's Repositories
dom-lee/Masked-LIO-SAM
dom-lee/EECS553-Reproducibility-Spectral-Clustering
dom-lee/Feature-Extraction
dom-lee/AnyLoc
dom-lee/byol-pytorch
Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch
dom-lee/coursera-ml
dom-lee/Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
dom-lee/detectron2
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
dom-lee/Detic
Code release for "Detecting Twenty-thousand Classes using Image-level Supervision".
dom-lee/dom-lee.github.io
dom-lee/extrinsic_lidar_camera_calibration
This is a package for extrinsic calibration between a 3D LiDAR and a camera, described in paper: Improvements to Target-Based 3D LiDAR to Camera Calibration. This package is used for Cassie Blue's 3D LiDAR semantic mapping and automation.
dom-lee/global_pose_estimation_for_optimal_shape
This package introduces the concept of optimizing target shape to remove pose ambiguity for LiDAR point clouds. Both the simulation and the experimental results confirm that by using the optimal shape and the global solver, we achieve centimeter error in translation and a few degrees in rotation even when a partially illuminated target is placed 30 meters away!
dom-lee/disk
Disk code release
dom-lee/intro-to-robotic-manipulation
dom-lee/letterlog-cronjob
LetterLog 프로젝트 스케쥴 작업
dom-lee/liegroups
Python implementation of SO2, SE2, SO3, and SE3 matrix Lie groups using numpy or pytorch
dom-lee/LIO-SAM
dom-lee/nvim
dom-lee/OpenPCDet_ros
dom-lee/optimal_shape_generation
This package introduces the concept of optimizing target shape to remove pose ambiguity for LiDAR point clouds. Both the simulation and the experimental results confirm that by using the optimal shape and the global solver, we achieve centimeter error in translation and a few degrees in rotation even when a partially illuminated target is placed 30 meters away!
dom-lee/Point-LIO
dom-lee/pyconcorde
Python wrapper around the Concorde TSP solver
dom-lee/Sensor-Fusion
dom-lee/SFND_Lidar_Obstacle_Detection
dom-lee/SimCLR
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
dom-lee/simsiam
PyTorch implementation of SimSiam https//arxiv.org/abs/2011.10566
dom-lee/stella_vslam
This is a unofficial fork of OpenVSLAM (https://github.com/xdspacelab/openvslam)
dom-lee/SupContrast
PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)
dom-lee/TinyGrapeKit
A bunch of state estimation algorithms
dom-lee/ultralytics
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite