The simplest, fastest repository for training/finetuning medium-sized GPTs.

Community maintained hardware plugin for vLLM on Apple Silicon

A rclcpp-compatible true zero-copy IPC middleware that supports all ROS message types, including message structs already generated by rosidl.

base64 encoding and decoding with c++

Optimization for Robotics

a bidirectional ros to gstreamer bridge and utilities for dynamic pipelines

Web-based 3D visualization in Python

LocalAI is the open-source AI engine. Run any model - LLMs, vision, voice, image, video - on any hardware. No GPU required.

Generate imu data and feature in camera frame. You can use this data to test your VINS.

(Arxiv 2021) NeRF--: Neural Radiance Fields Without Known Camera Parameters

Official Code for DragGAN (SIGGRAPH 2023)

リアルタイムボイスチェンジャー Realtime Voice Changer

A roadmap to learn Kubernetes from scratch (Beginner to Advanced level)

Geo-Neus: Geometry-Consistent Neural Implicit Surfaces Learning for Multi-view Reconstruction (NeurIPS 2022)

voicevox_ros2

A simple monocular visual odometry (part of vSLAM) by ORB keypoints with initialization, tracking, local map and bundle adjustment. (WARNING: Hi, I'm sorry that this project is tuned for course dem…

Official Pytorch implementation of Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations

HF-NeuS: Improved Surface Reconstruction Using High-Frequency Details (NeurIPS 2022)

Python implementation of Visual Odometry algorithms from http://rpg.ifi.uzh.ch/

[CVPR2022] Neural Rays for Occlusion-aware Image-based Rendering

About Invoke is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies…

Stable Diffusion with Core ML on Apple Silicon

[ECCV'20] Patch-match and Plane-regularization for Unsupervised Indoor Depth Estimation

Awesome list of multi-view stereo papers

3D reconstruction, sfm with Python3

[ECCV 2022] SimpleRecon: 3D Reconstruction Without 3D Convolutions

Structure from Motion (Sfm) in Python using OpenCV

Introduction to Manifold Learning - Mathematical Theory and Applied Python Examples (Multidimensional Scaling, Isomap, Locally Linear Embedding, Spectral Embedding/Laplacian Eigenmaps)

A simplified version of incremental structure from motion to reconstruct the 3D structure of a scene from a sequence of 2D images