Matthew Sang-Woo Ji's repositories
awesome-segment-anything-extensions
Segment-anything related awesome extensions/projects/repos.
algorithm-interview
<파이썬 알고리즘 인터뷰> 95가지 알고리즘 문제 풀이로 완성하는 코딩 테스트
Automation-Machine-Learning
Automation Machine Learning
bevfusion
BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
Book_KalmanFilter
칼만 필터는 어렵지 않아(저자 김성필) 파이썬 코드(Unofficial)
CodeZoo_CATM1_Arduino
Development resource, Arduino library and example code for LTE-Cat.m1 module produced by CodeZoo
iceoryx
Eclipse iceoryx™ - true zero-copy inter-process-communication
Lidar_For_AD_references
A list of references on lidar point cloud processing for autonomous driving
Machine-Learning-for-OpenCV
Machine Learning for OpenCV, published by Packt
nengo-dl
Deep learning integration for Nengo
Neuromorphic-Computing-Guide
Learn about the Neumorphic engineering process of creating large-scale integration (VLSI) systems containing electronic analog circuits to mimic neuro-biological architectures.
openpilot
openpilot is an open source driver assistance system. openpilot performs the functions of Automated Lane Centering and Adaptive Cruise Control for over 100 supported car makes and models.
PettingZoo
A standard API for multi-agent reinforcement learning environments, with popular reference environments and related utilities
PyBaMM
Fast and flexible physics-based battery models in Python
Reinforcement-Learning-Algorithms-with-Python
Reinforcement Learning Algorithms with Python, Published by Packt
rosbag-uploader-ros1
ROS packages for uploading rosbags to AWS cloud services.
ScenarioArchitect
The Scenario Architect provides a lightweight graphical user interface that allows a straightforward realization and manipulation of concrete driving testing scenarios. Exemplary usecases are the validation of an online verification framework or training of an prediction algorithm.
sd-webui-segment-anything
Segment Anything for Stable Diffusion WebUI
Segment-and-Track-Anything
An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) for key-frame segmentation and Associating Objects with Transformers (AOT) for efficient tracking and propagation purposes.
Segment-Everything-Everywhere-All-At-Once
Official implementation of the paper "Segment Everything Everywhere All at Once"
svlsimulator.com
The public-facing frontend, www.svlsimulator.com
Web_Platform_Test
Test suites for Web platform specs — including WHATWG, W3C, and others