ulterzlw's starred repositories

e3nn

A modular framework for neural networks with Euclidean symmetry

Language:PythonLicense:NOASSERTIONStargazers:924Issues:0Issues:0
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SLAMTools

A script toolkit for SLAM research, including but not limited to various plotting functions, ROS bag processing, and more.

Language:PythonStargazers:75Issues:0Issues:0

Quads

Computer art based on quadtrees.

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awesome-Implicit-NeRF-SLAM

A comprehensive list of Implicit Representations, NeRF and 3D Gaussian Splatting papers relating to SLAM/Robotics domain, including papers, videos, codes, and related websites

Stargazers:923Issues:0Issues:0

SuperPoint

Efficient neural feature detector and descriptor

Language:Jupyter NotebookLicense:MITStargazers:1839Issues:0Issues:0

XEN-crypto

XEN Crypto

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MR_SLAM

[IEEE T-RO 2023] A modularized multi-robot SLAM system with elevation mapping and a costmap converter for easy navigation. Different odometry and loop closure algorithms can be easily integrated into the system.

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LIO_SAM_6AXIS

LIO_SAM for 6-axis IMU and GNSS.

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voxblox

A library for flexible voxel-based mapping, mainly focusing on truncated and Euclidean signed distance fields.

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FinRL

FinRL: Financial Reinforcement Learning. 🔥

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simclr

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

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big_transfer

Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.

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Mask_RCNN

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

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OverlapNet

OverlapNet - Loop Closing for 3D LiDAR-based SLAM (chen2020rss)

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ros_msg_parser

Deserialized any ROS messages, even if you don't know its type. Successor of ros_type_introspection.

Language:C++License:MITStargazers:84Issues:0Issues:0

type_introspection_tests

Tests and examples related to https://github.com/facontidavide/ros_type_introspection

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nn-from-scratch

Implementing a Neural Network from Scratch

Language:Jupyter NotebookLicense:MITStargazers:1899Issues:0Issues:0

Learn-Vim

Learning Vim and Vimscript doesn't have to be hard. This is the guide that you're looking for 📖

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apollo

An open autonomous driving platform

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M2DP

M2DP descriptor of a 3D point cloud

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