DeepAmandine is an artificial intelligence that allows you to talk to it for hours, you won't know the difference.

Overview

DeepAmandine

This is an artificial intelligence based on GPT-3 that you can chat with, it is very nice and makes a lot of jokes. We wish you a good experience with the AGI and hope you have fun.

screen_1


Installation and usage

- To use the version on Android - v1.0-beta :

1. Installing the pre-required Python libraries :

$ wget https://github.com/BuyWithCrypto/deep-amandine/releases/download/v1.0-beta/requirements.txt && pip3 install -r requirements.txt

2. Download the executable file :

$ wget https://github.com/BuyWithCrypto/deep-amandine/releases/download/v1.0-beta/DeepAmandine-android-v1.0-beta.pyc

3. Run the executable :

$ python3 DeepAmandine-android-v1.0-beta.pyc

- To use the version on Desktop - v1.0-beta :

1. Installing the pre-required Python libraries :

$ wget https://github.com/BuyWithCrypto/deep-amandine/releases/download/v1.0-beta/requirements.txt && pip3 install -r requirements.txt

2. Download the executable file :

$ wget https://github.com/BuyWithCrypto/deep-amandine/releases/download/v1.0-beta/DeepAmandine-desktop-v1.0-beta.pyc

3. Run the executable :

$ python3 DeepAmandine-desktop-v1.0-beta.pyc

Examples of use

You can select a language to speak with our AI.

screen_1

You can select a username to chat with the AI.

screen_2

Once all the steps have been completed, you can start talking to the AI.

screen_3

You might also like...
Text to speech is a process to convert any text into voice. Text to speech project takes words on digital devices and convert them into audio. Here I have used Google-text-to-speech library popularly known as gTTS library to convert text file to .mp3 file. Hope you like my project! simpleT5 is built on top of PyTorch-lightning⚡️ and Transformers🤗 that lets you quickly train your T5 models.
simpleT5 is built on top of PyTorch-lightning⚡️ and Transformers🤗 that lets you quickly train your T5 models.

Quickly train T5 models in just 3 lines of code + ONNX support simpleT5 is built on top of PyTorch-lightning ⚡️ and Transformers 🤗 that lets you quic

pytorch implementation of Attention is all you need

A Pytorch Implementation of the Transformer: Attention Is All You Need Our implementation is largely based on Tensorflow implementation Requirements N

A PyTorch implementation of the Transformer model in
A PyTorch implementation of the Transformer model in "Attention is All You Need".

Attention is all you need: A Pytorch Implementation This is a PyTorch implementation of the Transformer model in "Attention is All You Need" (Ashish V

Applying "Load What You Need: Smaller Versions of Multilingual BERT" to LaBSE

smaller-LaBSE LaBSE(Language-agnostic BERT Sentence Embedding) is a very good method to get sentence embeddings across languages. But it is hard to fi

I can help you convert your images to pdf file.
I can help you convert your images to pdf file.

IMAGE TO PDF CONVERTER BOT Configs TOKEN - Get bot token from @BotFather API_ID - From my.telegram.org API_HASH - From my.telegram.org Deploy to Herok

A simple recipe for training and inferencing Transformer architecture for Multi-Task Learning on custom datasets. You can find two approaches for achieving this in this repo.
A simple recipe for training and inferencing Transformer architecture for Multi-Task Learning on custom datasets. You can find two approaches for achieving this in this repo.

multitask-learning-transformers A simple recipe for training and inferencing Transformer architecture for Multi-Task Learning on custom datasets. You

Rhythm-Finder is a unsupervised ML driven python powered web-application that can find the songs that suits you.
Releases(v1.0-beta)
  • v1.0-beta(Jan 15, 2022)

    DeepAmandine

    This is an artificial intelligence based on GPT-3 that you can chat with, it is very nice and makes a lot of jokes.


    - To use the version on Android - v1.0-beta :

    1. Installing the pre-required Python libraries :

    $ wget https://github.com/BuyWithCrypto/deep-amandine/releases/download/v1.0-beta/requirements.txt && pip3 install -r requirements.txt
    

    2. Download the executable file :

    $ wget https://github.com/BuyWithCrypto/deep-amandine/releases/download/v1.0-beta/DeepAmandine-android-v1.0-beta.pyc
    

    3. Run the executable :

    $ python3 DeepAmandine-android-v1.0-beta.pyc
    

    - To use the version on Desktop - v1.0-beta :

    1. Installing the pre-required Python libraries :

    $ wget https://github.com/BuyWithCrypto/deep-amandine/releases/download/v1.0-beta/requirements.txt && pip3 install -r requirements.txt
    

    2. Download the executable file :

    $ wget https://github.com/BuyWithCrypto/deep-amandine/releases/download/v1.0-beta/DeepAmandine-desktop-v1.0-beta.pyc
    

    3. Run the executable :

    $ python3 DeepAmandine-desktop-v1.0-beta.pyc
    
    Source code(tar.gz)
    Source code(zip)
    DeepAmandine-android-v1.0-beta.pyc(3.17 KB)
    DeepAmandine-desktop-v1.0-beta.pyc(3.43 KB)
    requirements.txt(13 bytes)
Owner
BuyWithCrypto
Blockchain & Fintech
BuyWithCrypto
Weaviate demo with the text2vec-openai module

Weaviate demo with the text2vec-openai module This repository contains an example of how to use the Weaviate text2vec-openai module. When using this d

SeMI Technologies 11 Nov 11, 2022
TextFlint is a multilingual robustness evaluation platform for natural language processing tasks,

TextFlint is a multilingual robustness evaluation platform for natural language processing tasks, which unifies general text transformation, task-specific transformation, adversarial attack, sub-popu

TextFlint 587 Dec 20, 2022
Ecommerce product title recognition package

revizor This package solves task of splitting product title string into components, like type, brand, model and article (or SKU or product code or you

Bureaucratic Labs 16 Mar 03, 2022
Easy to use, state-of-the-art Neural Machine Translation for 100+ languages

EasyNMT - Easy to use, state-of-the-art Neural Machine Translation This package provides easy to use, state-of-the-art machine translation for more th

Ubiquitous Knowledge Processing Lab 748 Jan 06, 2023
Open source code for AlphaFold.

AlphaFold This package provides an implementation of the inference pipeline of AlphaFold v2.0. This is a completely new model that was entered in CASP

DeepMind 9.7k Jan 02, 2023
PUA Programming Language written in Python.

pua-lang PUA Programming Language written in Python. Installation git clone https://github.com/zhaoyang97/pua-lang.git cd pua-lang pip install . Try

zy 4 Feb 19, 2022
ACL'22: Structured Pruning Learns Compact and Accurate Models

☕ CoFiPruning: Structured Pruning Learns Compact and Accurate Models This repository contains the code and pruned models for our ACL'22 paper Structur

Princeton Natural Language Processing 130 Jan 04, 2023
NLP-based analysis of poor Chinese movie reviews on Douban

douban_embedding 豆瓣中文影评差评分析 1. NLP NLP(Natural Language Processing)是指自然语言处理,他的目的是让计算机可以听懂人话。 下面是我将2万条豆瓣影评训练之后,随意输入一段新影评交给神经网络,最终AI推断出的结果。 "很好,演技不错

3 Apr 15, 2022
Code for ACL 2022 main conference paper "STEMM: Self-learning with Speech-text Manifold Mixup for Speech Translation".

STEMM: Self-learning with Speech-Text Manifold Mixup for Speech Translation This is a PyTorch implementation for the ACL 2022 main conference paper ST

ICTNLP 29 Oct 16, 2022
Cải thiện Elasticsearch trong bài toán semantic search sử dụng phương pháp Sentence Embeddings

Cải thiện Elasticsearch trong bài toán semantic search sử dụng phương pháp Sentence Embeddings Trong bài viết này mình sẽ sử dụng pretrain model SimCS

Vo Van Phuc 18 Nov 25, 2022
Part of Speech Tagging using Hidden Markov Model (HMM) POS Tagger and Brill Tagger

Part of Speech Tagging using Hidden Markov Model (HMM) POS Tagger and Brill Tagger In this project, our aim is to tune, compare, and contrast the perf

Chirag Daryani 0 Dec 25, 2021
pkuseg多领域中文分词工具; The pkuseg toolkit for multi-domain Chinese word segmentation

pkuseg:一个多领域中文分词工具包 (English Version) pkuseg 是基于论文[Luo et. al, 2019]的工具包。其简单易用,支持细分领域分词,有效提升了分词准确度。 目录 主要亮点 编译和安装 各类分词工具包的性能对比 使用方式 论文引用 作者 常见问题及解答 主要

LancoPKU 6k Dec 29, 2022
Toy example of an applied ML pipeline for me to experiment with MLOps tools.

Toy Machine Learning Pipeline Table of Contents About Getting Started ML task description and evaluation procedure Dataset description Repository stru

Shreya Shankar 190 Dec 21, 2022
DeepPavlov Tutorials

DeepPavlov tutorials DeepPavlov: Sentence Classification with Word Embeddings DeepPavlov: Transfer Learning with BERT. Classification, Tagging, QA, Ze

Neural Networks and Deep Learning lab, MIPT 28 Sep 13, 2022
A raytrace framework using taichi language

ti-raytrace The code use Taichi programming language Current implement acceleration lvbh disney brdf How to run First config your anaconda workspace,

蕉太狼 73 Dec 11, 2022
A spaCy wrapper of OpenTapioca for named entity linking on Wikidata

spaCyOpenTapioca A spaCy wrapper of OpenTapioca for named entity linking on Wikidata. Table of contents Installation How to use Local OpenTapioca Vizu

Universitätsbibliothek Mannheim 80 Jan 03, 2023
CLIPfa: Connecting Farsi Text and Images

CLIPfa: Connecting Farsi Text and Images OpenAI released the paper Learning Transferable Visual Models From Natural Language Supervision in which they

Sajjad Ayoubi 66 Dec 14, 2022
The Internet Archive Research Assistant - Daily search Internet Archive for new items matching your keywords

The Internet Archive Research Assistant - Daily search Internet Archive for new items matching your keywords

Kay Savetz 60 Dec 25, 2022
To be a next-generation DL-based phenotype prediction from genome mutations.

Sequence -----------+-- 3D_structure -- 3D_module --+ +-- ? | |

Eric Alcaide 18 Jan 11, 2022