liukang1811's repositories
albumentations
Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
Awesome-Pruning
A curated list of neural network pruning resources.
bevfusion
BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
Birds-eye-view-Perception
Awesome BEV perception research and cookbook for all level audience in autonomous diriving
CUDA-PointPillars
A project demonstrating how to use CUDA-PointPillars to deal with cloud points data from lidar.
cuda_voxelizer
CUDA Voxelizer to convert polygon meshes into annotated voxel grids
cuPCL
A project demonstrating how to use the libs of cuPCL.
CVPR2023-Papers-with-Code
CVPR 2023 论文和开源项目合集
EagleEye
(ECCV'2020 Oral)EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning
fast-cuda-gpu-dbscan
:star2: CUDA-DClust+: Fast DBSCAN algorithm implemented on CUDA. Based on the research paper.
FAST_LIO
A computationally efficient and robust LiDAR-inertial odometry (LIO) package
filter-pruning-geometric-median
Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration (CVPR 2019 Oral)
G-VOM
G-VOM: A GPU Accelerated Voxel Off-Road Mapping System
Ground-Segmentation-Benchmark
Ground segmentation benchmark in SemanticKITTI dataset
knockoffnets
Knockoff Nets: Stealing Functionality of Black-Box Models
Lidar_AI_Solution
A project demonstrating Lidar related AI solutions, including three GPU accelerated Lidar/camera DL networks (PointPillars, CenterPoint, BEVFusion) and the related libs (cuPCL, 3D SparseConvolution, YUV2RGB, cuOSD,).
mmdetection3d-note
mmdetection3d 代码重点注解笔记
No-CPGNet
Non-official implementation of CPGNet
patchwork-plusplus
Patchwork++: Fast and robust ground segmentation method for 3D point cloud. @ IROS'22
PolarizationPruning
Implementation of Neuron-level Structured Pruning using Polarization Regularizer
Pruning_filters_for_efficient_convnets
PyTorch implementation of "Pruning Filters For Efficient ConvNets"
pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
retraining-free-pruning
[NeurIPS 2022] A Fast Post-Training Pruning Framework for Transformers
SlimSAM
SlimSAM: 0.1% Data Makes Segment Anything Slim
SphereFormer
The official implementation for "Spherical Transformer for LiDAR-based 3D Recognition" (CVPR 2023).
Torch-Pruning
[CVPR 2023] Towards Any Structural Pruning; LLMs / Diffusion / Transformers / YOLOv8 / CNNs