y-sheng Goto Github PK

autogluon

AutoGluon: AutoML for Image, Text, and Tabular Data

book_club

Resources for the Sheffield ML group book club.

dgcnn

ldgcnn

Linked Dynamic Graph CNN: Learning through Point Cloud by Linking Hierarchical Features

lime

Lime: Explaining the predictions of any machine learning classifier

meshroom

3D Reconstruction Software

multimodal-and-transfer-learning-residential-energy-estimation

This is the repository of python scripts used in the thesis by Yulan Sheng, titled as 'A Multimodal and Transfer Learning Approaches to Residential Building Operational Energy Estimation'

open3d-pointnet2-semantic3d

Semantic3D segmentation with Open3D and PointNet++

pipelinevis

point-transformer-pytorch

Implementation of the Point Transformer layer, in Pytorch

pointcnn

PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)

pointnet2

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

pointsift

a module for 3D semantic segmentation in point clouds.

project_2

Energy consumption prediction through Google Street View api

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

rfcr

scf-net

SCF-Net: Learning Spatial Contextual Features for Large-Scale Point Cloud Segmentation

spidercnn

SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters

veloparser

A tiny pure python Velodyne pcap file to point clouds parser

veloview

VeloView performs real-time visualization and easy processing of live captured 3D LiDAR data from Velodyne sensors (Alpha Prime™, Puck™, Ultra Puck™, Puck Hi-Res™, Alpha Puck™, Puck LITE™, HDL-32, HDL-64E). Runs on Windows, Linux and MacOS. This repository is a mirror of https://gitlab.kitware.com/LidarView/VeloView-Velodyne.

yolov5

YOLOv5 in PyTorch > ONNX > CoreML > TFLite