Popular GitHub Repositories for Fixed Point

Investment Research for Everyone, Everywhere.

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

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

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

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

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

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

? ? Point your camera at things to hear how to say them in a different language

The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"