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3dctn

[TITS2022] 3DCTN: 3D Convolution-Transformer Network for Point Cloud Classification

biformer

[CVPR 2023] Official code release of our paper "BiFormer: Vision Transformer with Bi-Level Routing Attention"

compressai

A PyTorch library and evaluation platform for end-to-end compression research

d-pcc

This is the PyTorch implementation of "Density-preserving Deep Point Cloud Compression" (CVPR 2022).

fastpointtransformer

Official source code of Fast Point Transformer, CVPR 2022

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

kpconv

Kernel Point Convolutions

min_test

minkowskiengine

Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

mpeg-pcc-tmc13

Geometry based point cloud compression (G-PCC) test model

octattention

Soruce code of OctAttention: Octree-Based Large-Scale Contexts Model for Point Cloud Compression

outstanding-kaggle-notebook

Colleting&Editing

pcc-s

[ECCV2022] Point Cloud Compression with Sibling Context and Surface Priors

pcgcv2

Multiscale Point Cloud Geometry Compression

point-cloud-compression

including learning-based and traditional methods

point-mae

[ECCV2022] Masked Autoencoders for Point Cloud Self-supervised Learning

point-nn

[CVPR 2023] Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud Analysis

point-transformer

This is an unofficial implementation of the Point Transformer paper.

pointnet2

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

pointnet_pointnet2_pytorch

PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.

sota-point-cloud-transformers

Point Transformers

text-to-nails

https://text-to-nails.vercel.app/

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.