ncnn is a high-performance neural network inference framework optimized for the mobile platform

Tensor library for machine learning

Google's Operations Research tools:

A fast, local neural text to speech system

Bringing Characters to Life with Computer Brains in Unity

Interactive field-aligned mesh generator

Quantization, kernels, runtime and inference engine for mobiles, wearables, smart home and robots.

[CVPR 2024] Official PyTorch implementation of SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Rendering

GUI for marking bounded boxes of objects in images for training neural network Yolo v3 and v2

🚕 Fast and robust clustering of point clouds generated with a Velodyne sensor.

A simple method for finding the extrinsic calibration between a 3D lidar and a 6-dof pose sensor

Algorithm and Data Structures

A tool for bandwidth measurements on NVIDIA GPUs.

Real-time object detection on Android using the YOLO network with TensorFlow

OpenREALM is a pipeline for real-time aerial mapping utilizing visual SLAM and 3D reconstruction frameworks.

A high-quality ellipse detector based on arc-support line segments which can both accurately and efficiently detect ellipses in images.

Implementations of edge (ED, EDColor, EDPF), line (EDLines), circle and low eccentric ellipse (EDCircles) detection algorithms.

Code to use the KITTI (http://www.cvlibs.net/datasets/kitti) data set with PCL

L-CAS 3D Point Cloud Annotation Tool

GaussianDreamerPro: Text to Manipulable 3D Gaussians with Highly Enhanced Quality

3D head pose estimation using monocular vision

Line Segment Detector for OpenCV, MATLAB, and Python.

Point cloud annotation tool based on RViz

ROS publisher for Kitti dataset

Retinaface caffe with mnetv2 0.25(and many more)

Converting KITTI dataset to PCL(PCD)

Fast Image Convolution in C++