DaveXanatos

compromise

modest natural-language processing in javascript

dc_tts

A TensorFlow Implementation of DC-TTS: yet another text-to-speech model

DeepSpeech

A TensorFlow implementation of Baidu's DeepSpeech architecture

gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

HostBuilds

Repository for Autonomous Robotic Human-Mimetic Host Builds

Pi3RoadTest

Speech Recognition using PocketSphinx on Raspberry Pi3

speech_recognition

Speech recognition module for Python, supporting several engines and APIs, online and offline.

TensorFlow-Object-Detection-API-Tutorial-Train-Multiple-Objects-Windows-10

How to train a TensorFlow Object Detection Classifier for multiple object detection on Windows

tensorflow_speech_recognition_demo

This is the code for 'How to Make a Simple Tensorflow Speech Recognizer' by @Sirajology on Youtube

Westworld-Style-Behavior-Pad-Interface

UPDATE 20210705: Adding ZeroMQ functions in to allow full-duplex comms with deep parts of the hosts' cognitive processes, and expose speech recognition background processes, visual processes, etc. ORIGINAL DESCRIPTION >>>This is a working version of the iconic Behavior Pad "Rose Graph" Interface that the Westworld Techs use to set Host Behavioral Attributes (See SCREENSHOT.jpg). It is written in HTML5 using Canvas, CSS, JavaScript and PHP. It has only been tested in Chrome. I have a copy running on an Apache server "in the wild" as well as a copy running on Raspberry Pi SBCs that serve as "Host Brains" in my robots. Those Raspberries are running NGINX server and VSFTPC. This project allows you to set and save host parameters (reads and writes text files to the server if you have R/W perms). The parameters file (ATTRIBS.txt) allows you to fully customize the Attribute Names. The system auto-scales to fit whatever screen size you are using, I've tested on my Android phone (LG V20) up to my 32" monitor. Feel free to add, customize as you like, just please provide credit to me for the hard work I did to get it to this point, and will continue to do as I add more features. The eventual goal is reproducing working functionality of all the Behavior Pad Screens we've seen in the awesome HBO series Westworld.

DaveXanatos/Westworld-Style-Behavior-Pad-Interface

UPDATE 20210705: Adding ZeroMQ functions in to allow full-duplex comms with deep parts of the hosts' cognitive processes, and expose speech recognition background processes, visual processes, etc. ORIGINAL DESCRIPTION >>>This is a working version of the iconic Behavior Pad "Rose Graph" Interface that the Westworld Techs use to set Host Behavioral Attributes (See SCREENSHOT.jpg). It is written in HTML5 using Canvas, CSS, JavaScript and PHP. It has only been tested in Chrome. I have a copy running on an Apache server "in the wild" as well as a copy running on Raspberry Pi SBCs that serve as "Host Brains" in my robots. Those Raspberries are running NGINX server and VSFTPC. This project allows you to set and save host parameters (reads and writes text files to the server if you have R/W perms). The parameters file (ATTRIBS.txt) allows you to fully customize the Attribute Names. The system auto-scales to fit whatever screen size you are using, I've tested on my Android phone (LG V20) up to my 32" monitor. Feel free to add, customize as you like, just please provide credit to me for the hard work I did to get it to this point, and will continue to do as I add more features. The eventual goal is reproducing working functionality of all the Behavior Pad Screens we've seen in the awesome HBO series Westworld.

DaveXanatos/HostBuilds

Repository for Autonomous Robotic Human-Mimetic Host Builds

DaveXanatos/compromise

modest natural-language processing in javascript

DaveXanatos/dc_tts

A TensorFlow Implementation of DC-TTS: yet another text-to-speech model

DaveXanatos/DeepSpeech

A TensorFlow implementation of Baidu's DeepSpeech architecture

DaveXanatos/gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

DaveXanatos/Pi3RoadTest

Speech Recognition using PocketSphinx on Raspberry Pi3

DaveXanatos/speech_recognition

Speech recognition module for Python, supporting several engines and APIs, online and offline.

DaveXanatos/TensorFlow-Object-Detection-API-Tutorial-Train-Multiple-Objects-Windows-10

How to train a TensorFlow Object Detection Classifier for multiple object detection on Windows

DaveXanatos/tensorflow_speech_recognition_demo

This is the code for 'How to Make a Simple Tensorflow Speech Recognizer' by @Sirajology on Youtube

DaveXanatos/gpt-2-output-dataset

Dataset of GPT-2 outputs for research in detection, biases, and more

DaveXanatos/GPT2X

Disk Image for Raspberry Pi 4B 8 Gig with functional implementation of GPT-2 with Tensorflow 1.13.1

DaveXanatos/imagezmq

A set of Python classes that transport OpenCV images from one computer to another using PyZMQ messaging.

DaveXanatos/Lenticular-Generator

Generates Lenticular Images

DaveXanatos/models

Models and examples built with TensorFlow

DaveXanatos/neuralcoref

✨State-of-the-art coreference resolution based on neural nets and spaCy

DaveXanatos/ngc-learn

NGC-Learn: Predictive Coding and Neurobiologically-Motivated Learning in Python

DaveXanatos/Parrot_Paraphraser

A practical and feature-rich paraphrasing framework to augment human intents in text form to build robust NLU models for conversational engines.

DaveXanatos/pyaiml

An interpreter module for AIML (Artificial Intelligence Markup Language), implemented in pure Python

DaveXanatos/Python3

Python code and documents

DaveXanatos/sphinxbase

DaveXanatos/swda

Switchboard Dialog Act Corpus with Penn Treebank links

DaveXanatos/Total-Text-Dataset

Total Text Dataset - ICDAR 2017. It consists of 1555 images with more than 3 different text orientations: Horizontal, Multi-Oriented, and Curved, one of a kind.

DaveXanatos/transformers

🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.

DaveXanatos/unproject_text

Perspective recovery of text using transformed ellipses

DaveXanatos/XPT2X

Image File for Raspberry Pi 4 8Gig with functioning implementation of GPT-2 using Tensorflow 1.13.1

DaveXanatos/YOLO-Powered_Robot_Vision

DaveXanatos/yolo2-pytorch

YOLOv2 in PyTorch

DaveXanatos/YOLO_tensorflow

tensorflow implementation of 'YOLO : Real-Time Object Detection'