Pinned Repositories
12306
12306智能刷票，订票
ACNet
ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks
AdaptiveWingLoss
[ICCV 2019] Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression - Official Implementation
albumentations
fast image augmentation library and easy to use wrapper around other libraries
amc
[ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices.
apollo
An open autonomous driving platform
arch_uncert
ASFF
yolov3, ASFF
LiDAR-obstacle-detection
obstalce-detection, using only LiDAR. (by woocheol)
Stronger-yolo
Improve yolo with latest paper
chaos1992's Repositories
chaos1992/LiDAR-obstacle-detection
obstalce-detection, using only LiDAR. (by woocheol)
chaos1992/apollo
An open autonomous driving platform
chaos1992/arch_uncert
chaos1992/AtomNAS
Code for ICLR 2020 paper 'AtomNAS: Fine-Grained End-to-End Neural Architecture Search'
chaos1992/autogluon
AutoGluon: AutoML Toolkit for Deep Learning
chaos1992/AutoML
AutoDeeplab / auto-deeplab / AutoML for semantic segmentation, implemented in Pytorch
chaos1992/CrossStagePartialNetworks
Cross Stage Partial Networks
chaos1992/DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
chaos1992/depth_clustering
:taxi: Fast and robust clustering of point clouds generated with a Velodyne sensor.
chaos1992/Det3D
A general 3D object detection codebse.
chaos1992/detectron2
Detectron2 is FAIR's next-generation research platform for object detection and segmentation.
chaos1992/fast-autoaugment
Official Implementation of 'Fast AutoAugment' in PyTorch.
chaos1992/FasterSeg
[ICLR 2020] "FasterSeg: Searching for Faster Real-time Semantic Segmentation" by Wuyang Chen, Xinyu Gong, Xianming Liu, Qian Zhang, Yuan Li, Zhangyang Wang
chaos1992/hdl_people_tracking
Real-time people tracking using a 3D LIDAR
chaos1992/Mask-CenterNet
Instance Segmentation based on CenterNet
chaos1992/MNN
MNN is a lightweight deep neural network inference engine.
chaos1992/NAS-Projects
NAS-Bench-102 and 11 neural architecture search algorithms implemented in PyTorch.
chaos1992/nasa-latex-docs
Official Documentation:
chaos1992/once-for-all
[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment
chaos1992/PaddleSlim
chaos1992/PINet
chaos1992/PointHop
PointHop: An Explainable Machine Learning Method for Point Cloud Classification
chaos1992/PV-RCNN
Research platform for 3D object detection in PyTorch.
chaos1992/pvcnn
[NeurIPS 2019, Spotlight] Point-Voxel CNN for Efficient 3D Deep Learning.
chaos1992/pycalib
Non-Parametric Calibration for Classification
chaos1992/RandLA-Net
RandLA-Net in Tensorflow (CVPR 2020)
chaos1992/RFSong-779
重新设计的RFBNet300,模型参数量只有0.99MB，AP达到0.78，200FPS
chaos1992/second.pytorch
SECOND for KITTI/NuScenes object detection
chaos1992/TANet
The AAAI-2020 Paper(Oral):"TANet: Robust 3D Object Detection from Point Clouds with Triple Attention"
chaos1992/valentine_day