Building Ellee — A GPT-3 and Computer Vision Powered Talking Robotic Teddy Bear With Human Level Conversation Intelligence

Last update: Oct 26, 2022

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project-ellee

Building Ellee — A GPT-3 and Computer Vision Powered Talking Robotic Teddy Bear With Human Level Conversation Intelligence

Using an object detection and facial recognition system built on MobileNetSSDV2 and Dlib and running on an NVIDIA Jetson Nano, a GPT-3 model, Google Speech Recognition, Amazon Polly and servo motors, I built Ellee — a robotic teddy bear who can move her head and converse naturally.

See demo video here https://youtu.be/X_C1K7wDB_0

Read the blog here https://agustinus-nalwan.medium.com/building-ellee-a-gpt-3-and-computer-vision-powered-talking-robotic-teddy-bear-with-human-level-db7d08259583

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Agustinus Nalwan

GitHub Repository

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Building Ellee — A GPT-3 and Computer Vision Powered Talking Robotic Teddy Bear With Human Level Conversation Intelligence

Related tags

Overview

project-ellee

Owner

Task-related Saliency Network For Few-shot learning

HNECV: Heterogeneous Network Embedding via Cloud model and Variational inference

Multivariate Time Series Transformer, public version

Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of intelligence based strictly on the neuroscience of the neocortex.

DenseNet Implementation in Keras with ImageNet Pretrained Models

A scikit-learn-compatible module for estimating prediction intervals.

Code I use to automatically update my videos' metadata on YouTube

[ICLR'21] FedBN: Federated Learning on Non-IID Features via Local Batch Normalization

MLJetReconstruction - using machine learning to reconstruct jets for CMS

The comma.ai Calibration Challenge!

A curated list of neural network pruning resources.

This code is for our paper "VTGAN: Semi-supervised Retinal Image Synthesis and Disease Prediction using Vision Transformers"

[2021][ICCV][FSNet] Full-Duplex Strategy for Video Object Segmentation

Official code of Team Yao at Multi-Modal-Fact-Verification-2022

Benchmarks for Model-Based Optimization

SoK: Vehicle Orientation Representations for Deep Rotation Estimation

Experiments with differentiable stacks and queues in PyTorch

A port of muP to JAX/Haiku

OpenMMLab Model Deployment Toolset