xiaoyang-bi

Pinned Repositories

quickapp-task
quickapp homework.
Language:HTML3 2 051
DailyAlgo
00
gramme
We provide the code, pretrained models, and scripts to reproduce the experiments of the paper "Towards All-Weather Autonomous Driving". All code was implemented in Python using the deep learning framework PyTorch.
Language:Python0 0 00
Lidar-based-Roscar
00
quickapp-task
Language:HTML00
radiate_sdk
SDK developed to access data from RADIATE dataset
Language:JavaScript00
SeProject73
Language:Java00
STEGO
Unsupervised Semantic Segmentation by Distilling Feature Correspondences
Language:Jupyter Notebook00
xv6-labs-2020
My implementation of MIT 6.S081 Lab
30
RL_3DOD
Language:Python22 3 74

xiaoyang-bi's Repositories

xiaoyang-bi/xv6-labs-2020
My implementation of MIT 6.S081 Lab
30
xiaoyang-bi/DailyAlgo
00
xiaoyang-bi/gramme
We provide the code, pretrained models, and scripts to reproduce the experiments of the paper "Towards All-Weather Autonomous Driving". All code was implemented in Python using the deep learning framework PyTorch.
Language:Python0 0 00
xiaoyang-bi/Lidar-based-Roscar
00
xiaoyang-bi/quickapp-task
Language:HTML00
xiaoyang-bi/radiate_sdk
SDK developed to access data from RADIATE dataset
Language:JavaScript00
xiaoyang-bi/SeProject73
Language:Java00
xiaoyang-bi/STEGO
Unsupervised Semantic Segmentation by Distilling Feature Correspondences
Language:Jupyter Notebook00