Stars
Pure Python 3 MTProto API Telegram client library, for bots too!
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
特征提取/数据降维:PCA、LDA、MDS、LLE、TSNE等降维算法的python实现
PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)
A curated list of Multimodal Related Research.
Offical PyTorch implementation of "BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework"
GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training
A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)
Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification
[CVPR 2022] Pre-Training 3D Point Cloud Transformers with Masked Point Modeling
Pix3D: Dataset and Methods for Single-Image 3D Shape Modeling
Multivariate LSTM Fully Convolutional Networks for Time Series Classification
A pytorch implementation of "D4LCN: Learning Depth-Guided Convolutions for Monocular 3D Object Detection" CVPR 2020
This is the repository for "Efficient Low-rank Multimodal Fusion with Modality-Specific Factors", Liu and Shen, et. al. ACL 2018
[深度应用]·DC竞赛轴承故障检测开源Baseline（基于Keras1D卷积 val_acc:0.99780）
Repository for automatic classification and labeling of Urban PointClouds using data fusion and region growing techniques.
Unofficial Python Library for Dune Analytics
[ECCV 2020] This is the official implementation of 3D-CVF: Generating Joint Camera and LiDAR Features Using Cross-View Spatial Feature Fusion for 3D Object Detection
Implementation of the "PSTNet: Point Spatio-Temporal Convolution on Point Cloud Sequences" paper.
Tensor Low-rank Reconstruction for Semantic Segmentation
This is the code repository implementing the paper "TreePartNet: Neural Decomposition of Point Clouds for 3D Tree Reconstruction".
使用Flask+Keras部署的基于Xception神经网络的细胞图像AI医疗辅助识别系统（含简单前端demo）
A framework based on the tensor train decomposition for working with multivariate functions and multidimensional arrays