neka-nat Goto Github PK
Name: Shirokuma (k tanaka)
Type: User
Bio: Interested in computer vision (3D processing, GPU computing), robotics and AI.
Location: JAPAN
Name: Shirokuma (k tanaka)
Type: User
Bio: Interested in computer vision (3D processing, GPU computing), robotics and AI.
Location: JAPAN
Web annotation tool
Keras implementation of Curiosity-driven Exploration by Self-supervised Prediction
A list of awesome collaborative robots.
This repository is a curated list of papers and open source code for 6D Object Pose Estimation.
Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.
ByteTrack: Multi-Object Tracking by Associating Every Detection Box
A chainer impelementation of Generating Videos with Scene Dynamics
Rust implementation of image processing library with OpenCL
Project repo for Learning Category-Specific Mesh Reconstruction from Image Collections (Python3/PyTorch)
COMBO for Python 3
Implementation of Canonical Surface Mapping (https://github.com/nileshkulkarni/csm) using PyTorch and Pytorch3D
Rust implementation of image processing library with CUDA
Robotics with GPU computing
Dynamic Animation and Robotics Toolkit
DCNv2 supports decent pytorch such as torch 1.5+ (now 1.8+)
Differential Dynamic Programming controller operating in OpenAI Gym environment.
Pytorch implementation of distributed deep reinforcement learning
dual quaternion for 3d geometric operations
MWE for using the Eigen library in CUDA kernels
One-shot Implicit Animatable Avatars with Model-based Priors
Easily create interactive markers from yaml files.
A simple baseline for one-shot multi-object tracking
Fast Multimodal RAG on CPU
The official Python SDK for FastLabel API, the Data Platform for AI
High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀
Python package for fast munkres algorithm
Fast Library for Approximate Nearest Neighbors
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.