Pinned Repositories
autoware-github-actions
awviz-ros
A ROS viewer for Autoware
Generative-models
Generative models using deep learning
godot-tutorial
perception_eval_rs
py2gsuite
ResNet50
ResNet50 with dropout, like WideResnet50
spotmicro_description
SpotMicroAI URDF
Steel_Defect_Detection
TensorRT-MTR
ktro2828's Repositories
ktro2828/TensorRT-MTR
ktro2828/awviz-ros
A ROS viewer for Autoware
ktro2828/perception_eval_rs
ktro2828/py2gsuite
ktro2828/autoware-github-actions
ktro2828/autoware.universe
ktro2828/autoware_common
ktro2828/autoware_launch
ktro2828/autoware_msgs
ktro2828/CalibrationTools
ktro2828/coding-interview-university
A complete computer science study plan to become a software engineer.
ktro2828/driving_log_replayer
an evaluation package for autoware
ktro2828/eagleye
Precise localization based on GNSS and IMU.
ktro2828/edge_auto_jetson_launch
ktro2828/ktro2828
ktro2828/MapBEVPrediction
[ECCV 2024] Accelerating Online Mapping and Behavior Prediction via Direct BEV Feature Attention
ktro2828/mmdetection3d
OpenMMLab's next-generation platform for general 3D object detection.
ktro2828/MTR
MTR: Motion Transformer with Global Intention Localization and Local Movement Refinement, NeurIPS 2022.
ktro2828/nuscenes-devkit
The devkit of the nuScenes dataset.
ktro2828/onnx-sandbox
ktro2828/ray_tracing_rs
Demo Package for Ray Tracing
ktro2828/repo-manage-trial
ktro2828/ros2_utils
ktro2828/sandbox
ktro2828/SIMPL
SIMPL: A Simple and Efficient Multi-agent Motion Prediction Baseline for Autonomous Driving
ktro2828/TensorRT
NVIDIA® TensorRT™, an SDK for high-performance deep learning inference, includes a deep learning inference optimizer and runtime that delivers low latency and high throughput for inference applications.
ktro2828/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
ktro2828/trt-sandbox
ktro2828/UniAD
[CVPR 2023 Best Paper] Planning-oriented Autonomous Driving
ktro2828/YOLOX
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/