Name: TREE Industries
Type: User
Company: TREE Industries
Bio:
TREE is a company dedicated towards making advanced technology more open and accessible. With a focus on AI, Machine Learning, AR, VR, & IoT
Twitter: TREE_Industries
Location: Saint Louis, MO
Blog: www.tree.industries
TREE Industries's Projects
3D Client for https://github.com/openai/neural-mmo
Embed node.js as an unreal plugin.
Object detection project for real-time (webcam) and offline (video processing) application.
official code of "One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape Optimization"
Integration for the OpenAI Api in Unreal Engine
Face recognition with deep neural networks.
Webbased Character Animation System
WORK IN PROGRESS: A Flask personal backend alternative for running your own version of https://home.mycroft.ai
WIP - flask personal backend alternative to home.mycroft
High-Resolution 3D Human Digitization from A Single Image.
Speaker recognition library based on MARF for raspberry pi and other SBCs.
Lightweight WebRTC SDK for UnrealEngine's PixelStreaming
Reference implementations for Pixel Streaming infra
Pre-trained Precise models and training data provided by the Mycroft Community
The official implementation of the paper "Human Motion Diffusion as a Generative Prior"
Pull current and historical baseball statistics using Python
Implementation of Quickdraw - an online game developed by Google
A React based front-end for Mycroft.
Remote tts skill client using OVOS utils
A python package to analyze and compare voices with deep learning
Code for SIGGRAPH 2020 paper "RigNet: Neural Rigging for Articulated Characters"
Microservices and web apps to support Mycroft devices
Web applications to support the Mycroft AI project.
Perform a basic sentiment analysis
Generate 3D objects conditioned on text or images
A Machine Learning pipeline that performs hand localization and static-gesture recognition built using the scikit learn and scikit image libraries http://www.ssreehari.com/Sign-language-and-static-gesture-recgnition/
Sign Language Gesture Recognition From Video Sequences Using RNN And CNN