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Common used path planning algorithms with animations.
A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.
An unnecessarily tiny implementation of GPT-2 in NumPy.
🖼️ Create beautiful maps from OpenStreetMap data in a streamlit webapp
Python implementation of Visual Odometry algorithms from http://rpg.ifi.uzh.ch/
for my Raspberry Pi coffee container
Robust initialisation of inducing points in sparse variational GP regression models.
PyTorch implementation of SatCLIP
PLVS is a real-time SLAM system with points, lines, volumetric mapping and 3D unsupervised incremental segmentation.
Tensorflow port of the Stable Diffusion Model
StreamDiffusion: A Pipeline-Level Solution for Real-Time Interactive Generation
A multi-page streamlit app for geospatial
Code for "Street Gaussians for Modeling Dynamic Urban Scenes"
Openframeworks implementation to create a point cloud from Google Street View
A gradio web UI for running Large Language Models like LLaMA, llama.cpp, GPT-J, Pythia, OPT, and GALACTICA.
High-fidelity performance metrics for generative models in PyTorch
TrafficBots: Towards World Models for Autonomous Driving Simulation and Motion Prediction. ICRA 2023.
Treepedia package for public use
Official PyTorch implementation of the UrbanGIRAFFE@ICCV2023
This is a social experiment inspired by the Turing test. We ask participants to define whether a given image is a real or fake street-level image. Images appear only for one second twice to make a judgement and in the end, you will get a score of what you have achieved. The average reaction time for humans is 0.25 seconds to a visual stimulus (4 images per second). The synthesis images are generated by a GAN model created by Mohamed R. Ibrahim (Currently under review). The purpose of this game is to validate the model. Nevertheless, it aims to show quantitive evidence of how mixed reality can alter our ground truth. The results of this experiment might be used for AI perception research.
Conference website
World Models with A3C on Carracing-v0 in gym
Driver for receiving YD LiDAR data and more...
YOLOv6: a single-stage object detection framework dedicated to industrial applications.
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.