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
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
:v: :ok_hand: :fist: :camera: Sign Language Recognition using Python
This application is developed to help speechless people interact with others with ease. It detects voice and converts the input speech into a sign language based video.
A Mycroft AI skill to enable mouse and keyboard manipulation via voice command using Autogui
Mycroft AI chromecast skill
A Cakechat fallback skill for Mycroft AI
Mycroft gui showcase examples
Skill that enables Mycroft to interact with OpenStates API
Realtime Object Recognition Skill For Mycroft
Mycroft skill to repeat what you or Mycroft just said
Mycroft skill to interact with Themoviedb.org
Mycroft AI skill to enable voice recognition using Tensorflow
Load SMPL in blender
This repository contains an example script to convert from a SMPL model to a bvh file.
Smart assistant skill designed to make information around food stamps & snap more accessible
Collection of Sonic Pi song examples by Mehackit
SoundNet, built in Keras with pre-trained 8-layer model.
information about space!
Test skill for speaker recognition on the Mycroft AI platform.
A Real-time Speaker Recognition System with GUI
Base on MFCC and GMM(基于MFCC和高斯混合模型的语音识别)
The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)
A simple Joomla module to display Steam leaderboards using the Steam web API.
Import OpenStreetMap data into Unreal Engine 4
Codes and Model of the paper "Text-to-Audio Generation using Instruction Tuned LLM and Latent Diffusion Model"
Working on some new examples with tensorflow.js and p5.js