Popular GitHub Repositories for Furthest Point Sampling

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

A resource repository for 3D machine learning

OpenMMLab's next-generation platform for general 3D object detection.

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

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

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

LightSeq: A High Performance Library for Sequence Processing and Generation

A procedural Blender pipeline for photorealistic training image generation

Pytorch framework for doing deep learning on point clouds.

A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper and Ada GPUs, to provide better performance with lower memory utilization in both training and inference.

Pointcept: a codebase for point cloud perception research. Latest works: PTv3 (CVPR'24 Oral), PPT (CVPR'24), OA-CNNs (CVPR'24), MSC (CVPR'23)

[ICLR 2025] From anything to mesh like human artists. Official impl. of "MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers"

High-efficiency floating-point neural network inference operators for mobile, server, and Web

Deep Hough Voting for 3D Object Detection in Point Clouds

Official code for "DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps" (Neurips 2022 Oral)

Frustum PointNets for 3D Object Detection from RGB-D Data

World's first general purpose 3D object detection codebse.

:dart: Task-oriented embedding tuning for BERT, CLIP, etc.

A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.