J.A.R.V.I.S is an AI virtual assistant made in python.

Related tags

Deep Learningpythontext-to-speechspeechpytorchchatterbotvoice-recognitionspeech-recognitionvoice-chatspeech-to-textjarvisvoice-assistantgttsvoice-synthesisporcupinesilero-modelswake-wordwake-words
Overview

image

J.A.R.V.I.S is an AI virtual assistant made in python.

Running JARVIS

Without Python

To run JARVIS without python:

1. Head over to our installation page: LINK

2. Download the installer.

3. Run the installer as administrator.

4. After installation, run the start menu shortcut 'JARVIS' as administrator. (You won't need to run as administrator in future releases)

With Python

To run JARVIS in python, make sure you have all the packages by running this code in the command prompt:

python DepInstaller.py

Then, just open a command prompt window inside the repo directory and run:

python __main__.py

To talk to JARVIS, say 'jarvis' and wait for it to print '<< wake >>', and then speak the command.

Dependencies JARVIS needs the following packages:

SpeechRecognition
PyAudio
torch
PlaySound
PyAutoGUI
gTTS
pywhatkit
chatterbot
chatterbot-corpus
nltk

Building the EXE file

To build the EXE file to run JARVIS, make sure you have Python

Run the following code:

python setup_exe.py build

The EXE file will be ready in a 'build' folder.

Known Issue(s)

  1. The app has to be run as administrator or on an elevated shell on computers without python. (will be resolved shortly)
  2. It doesn't have a UI. (will be resolved shortly)

Please let us know about any problems in the 'issues' tab.

Any questions? Head over to the 'discussions' tab.

You might also like...
Fast and scalable uncertainty quantification for neural molecular property prediction, accelerated optimization, and guided virtual screening.
Fast and scalable uncertainty quantification for neural molecular property prediction, accelerated optimization, and guided virtual screening.

Evidential Deep Learning for Guided Molecular Property Prediction and Discovery Ava Soleimany*, Alexander Amini*, Samuel Goldman*, Daniela Rus, Sangee

Alexander Amini 75 Dec 15, 2022
Official PyTorch implementation of
Official PyTorch implementation of "VITON-HD: High-Resolution Virtual Try-On via Misalignment-Aware Normalization" (CVPR 2021)

VITON-HD — Official PyTorch Implementation VITON-HD: High-Resolution Virtual Try-On via Misalignment-Aware Normalization Seunghwan Choi*1, Sunghyun Pa

Seunghwan Choi 250 Jan 6, 2023
Main repository for the HackBio'2021 Virtual Internship Experience for #Team-Greider ❤️
Main repository for the HackBio'2021 Virtual Internship Experience for #Team-Greider ❤️

Hello 🤟 #Team-Greider The team of 20 people for HackBio'2021 Virtual Bioinformatics Internship 💝 🖨️ 👨‍💻 HackBio: https://thehackbio.com 💬 Ask us

Siddhant Sharma 7 Oct 20, 2022
This repository contains the accompanying code for Deep Virtual Markers for Articulated 3D Shapes, ICCV'21
This repository contains the accompanying code for Deep Virtual Markers for Articulated 3D Shapes, ICCV'21

Deep Virtual Markers This repository contains the accompanying code for Deep Virtual Markers for Articulated 3D Shapes, ICCV'21 Getting Started Get sa

KimHyomin 45 Oct 7, 2022
This is a virtual picture dragging application. Users may virtually slide photos across the screen. The distance between the index and middle fingers determines the movement. Smaller distances indicate click and motion, whereas bigger distances indicate only hand movement.
This is a virtual picture dragging application. Users may virtually slide photos across the screen. The distance between the index and middle fingers determines the movement. Smaller distances indicate click and motion, whereas bigger distances indicate only hand movement.

Virtual_Image_Dragger This is a virtual picture dragging application. Users may virtually slide photos across the screen. The distance between the ind

Randrita Sarkar 17 Dec 17, 2022
Official code for ICCV2021 paper
Official code for ICCV2021 paper "M3D-VTON: A Monocular-to-3D Virtual Try-on Network"

M3D-VTON: A Monocular-to-3D Virtual Try-On Network Official code for ICCV2021 paper "M3D-VTON: A Monocular-to-3D Virtual Try-on Network" Paper | Suppl

null 109 Dec 29, 2022
(ICCV 2021) Official code of
(ICCV 2021) Official code of "Dressing in Order: Recurrent Person Image Generation for Pose Transfer, Virtual Try-on and Outfit Editing."

Dressing in Order (DiOr) 👚 [Paper] 👖 [Webpage] 👗 [Running this code] The official implementation of "Dressing in Order: Recurrent Person Image Gene

Aiyu Cui 277 Dec 28, 2022
this is a lite easy to use virtual keyboard project for anyone to use
this is a lite easy to use virtual keyboard project for anyone to use

virtual_Keyboard this is a lite easy to use virtual keyboard project for anyone to use motivation I made this for this year's recruitment for RobEn AA

Mohamed Emad 3 Oct 23, 2021
I created My own Virtual Artificial Intelligence named genesis, He can assist with my Tasks and also perform some analysis,,

Virtual-Artificial-Intelligence-genesis- I created My own Virtual Artificial Intelligence named genesis, He can assist with my Tasks and also perform

AKASH M 1 Nov 5, 2021
Releases(v0.0.2+installer)

  • v0.0.2+installer(Oct 2, 2021)

    image

    This is the first release of the application with an installer!

    Credit to @Super45coder @Sreehari521 @e-coders ( Genius398 [BUSY] )!

    Known Issues:

    1. The app has to be run as an administrator in order to work. (Will be fixed shortly)
    2. It doesn't have a UI. (Will be fixed shortly)
    3. We have to remove the Shell window and add a UI. (Will be fixed shortly)
    Source code(tar.gz)
    Source code(zip)
    JARVIS_Setup_0.0.2.exe(302.48 MB)

  • v0.0.2(Sep 30, 2021)

    image

    This is a whole remake of the application, with a LOT of bug fixes.

    Credit to @Genius398 @Super45coder @Sreehari521 @e-coders for helping.

    The features are listed below:

    1. Wake words
    2. Chatterbot implementation
    3. Basic commands like shutdown, play music, and more.

    TODO

    1. Add more commands, training data and q and a.
    2. Add something like a ‘copilot’ for helping people with code, pulling up docs.
    3. Add basic math functionality
    4. Add a UI
    5. Make an installer (so that people without python can use this)
    6. Upload this to pypi.
    Source code(tar.gz)
    Source code(zip)

  • v0.0.1pre(Sep 27, 2021)

    image

    This is the first release of the application, It has no files, but has a lot of features. The features are listed below:

    1. Wake words
    2. Chatterbot implementation
    3. Basic commands like shutdown, play music, and more.

    TODO

    1. use silero text to speech, because it sounds more natural.
    2. Also use silero speech to text, for offline functions.
    3. Add more commands, training data and q and a.
    4. Make the code more structured by using multiple files
    5. Use an assets and cache folder
    6. Implement wake words better than before
    7. Add something like a ‘copilot’ for helping people with code, pulling up docs.
    8. Add basic math functionality
    9. Add a UI
    10. Make an installer (so that people without python can use this)
    11. Upload this to pypi.
    Source code(tar.gz)
    Source code(zip)
Owner
somePythonProgrammer
Lookin' at the stars
somePythonProgrammer
GitHub Repository
Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"

Class-balanced-loss-pytorch Pytorch implementation of the paper Class-Balanced Loss Based on Effective Number of Samples presented at CVPR'19. Yin Cui

Vandit Jain 697 Dec 29, 2022
EMNLP 2021 paper Models and Datasets for Cross-Lingual Summarisation.

This repository contains data and code for our EMNLP 2021 paper Models and Datasets for Cross-Lingual Summarisation. Please contact me at

9 Oct 28, 2022
Official implementation of AAAI-21 paper "Label Confusion Learning to Enhance Text Classification Models"

Description: This is the official implementation of our AAAI-21 accepted paper Label Confusion Learning to Enhance Text Classification Models. The str

101 Nov 25, 2022
Open-L2O: A Comprehensive and Reproducible Benchmark for Learning to Optimize Algorithms

Open-L2O This repository establishes the first comprehensive benchmark efforts of existing learning to optimize (L2O) approaches on a number of proble

VITA 161 Jan 02, 2023
Official implementation of the paper ``Unifying Nonlocal Blocks for Neural Networks'' (ICCV'21)

Spectral Nonlocal Block Overview Official implementation of the paper: Unifying Nonlocal Blocks for Neural Networks (ICCV'21) Spectral View of Nonloca

91 Dec 14, 2022
Fully Convolutional DenseNets for semantic segmentation.

Introduction This repo contains the code to train and evaluate FC-DenseNets as described in The One Hundred Layers Tiramisu: Fully Convolutional Dense

485 Nov 26, 2022
Source code to accompany Defunctland's video "FASTPASS: A Complicated Legacy"

Shapeland Simulator Source code to accompany Defunctland's video "FASTPASS: A Complicated Legacy" Download the video at https://www.youtube.com/watch?

TouringPlans.com 70 Dec 14, 2022
modelvshuman is a Python library to benchmark the gap between human and machine vision

modelvshuman is a Python library to benchmark the gap between human and machine vision. Using this library, both PyTorch and TensorFlow models can be evaluated on 17 out-of-distribution datasets with

Bethge Lab 244 Jan 03, 2023
Official code for the ICLR 2021 paper Neural ODE Processes

Neural ODE Processes Official code for the paper Neural ODE Processes (ICLR 2021). Abstract Neural Ordinary Differential Equations (NODEs) use a neura

Cristian Bodnar 50 Oct 28, 2022
This is an official implementation of the High-Resolution Transformer for Dense Prediction.

High-Resolution Transformer for Dense Prediction Introduction This is the official implementation of High-Resolution Transformer (HRT). We present a H

HRNet 403 Dec 13, 2022
Next-Best-View Estimation based on Deep Reinforcement Learning for Active Object Classification

next_best_view_rl Setup Clone the repository: git clone --recurse-submodules ... In 'third_party/zed-ros-wrapper': git checkout devel Install mujoco `

Christian Korbach 1 Feb 15, 2022
This repo contains code to reproduce all experiments in Equivariant Neural Rendering

Equivariant Neural Rendering This repo contains code to reproduce all experiments in Equivariant Neural Rendering by E. Dupont, M. A. Bautista, A. Col

Apple 83 Nov 16, 2022
Personalized Transfer of User Preferences for Cross-domain Recommendation (PTUPCDR)

Personalized Transfer of User Preferences for Cross-domain Recommendation (PTUPCDR) This is the official implementation of our paper Personalized Tran

Yongchun Zhu 81 Dec 29, 2022
Event queue (Equeue) dialect is an MLIR Dialect that models concurrent devices in terms of control and structure.

Event Queue Dialect Event queue (Equeue) dialect is an MLIR Dialect that models concurrent devices in terms of control and structure. Motivation The m

Cornell Capra 23 Dec 08, 2022
Doubly Robust Off-Policy Evaluation for Ranking Policies under the Cascade Behavior Model

Doubly Robust Off-Policy Evaluation for Ranking Policies under the Cascade Behavior Model About This repository contains the code to replicate the syn

Haruka Kiyohara 12 Dec 07, 2022
Trajectory Variational Autoencder baseline for Multi-Agent Behavior challenge 2022

MABe_2022_TVAE: a Trajectory Variational Autoencoder baseline for the 2022 Multi-Agent Behavior challenge This repository contains jupyter notebooks t

Andrew Ulmer 15 Nov 08, 2022
PyTorch implementation of our method for adversarial attacks and defenses in hyperspectral image classification.

Self-Attention Context Network for Hyperspectral Image Classification PyTorch implementation of our method for adversarial attacks and defenses in hyp

22 Dec 02, 2022
a dnn ai project to classify which food people are eating on audio recordings

Deep Learning - EAT Challenge About This project is part of an AI challenge of the DeepLearning course 2021 at the University of Augsburg. The objecti

Marco Tröster 1 Oct 24, 2021
Official code for our ICCV paper: "From Continuity to Editability: Inverting GANs with Consecutive Images"

GANInversion_with_ConsecutiveImgs Official code for our ICCV paper: "From Continuity to Editability: Inverting GANs with Consecutive Images" https://a

QingyangXu 38 Dec 07, 2022
Official implementation for the paper "Attentive Prototypes for Source-free Unsupervised Domain Adaptive 3D Object Detection"

Attentive Prototypes for Source-free Unsupervised Domain Adaptive 3D Object Detection PyTorch code release of the paper "Attentive Prototypes for Sour

Deepti Hegde 23 Oct 17, 2022