ashrovy

ashrovy

Geek Repo

Location:Yogyakarta, Indonesia

Home Page:dialogika.co

Twitter:@ashrovy

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ashrovy's repositories

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scrcpy

Display and control your Android device

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dolano

website

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webapp

chrome application

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OnsenUI

Mobile app development framework and SDK using HTML5 and JavaScript. Create beautiful and performant cross-platform mobile apps. Based on Web Components, and provides bindings for Angular 1, 2, React and Vue.js.

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OnsenUI-YouTube

Example jukebox app made with Onsen UI, AngularJS and Youtube API

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TileIconifier

Creates tiles for most Windows 8.1 and 10 start menu icons

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TensorFlow-Examples

Concise TensorFlow Examples for Beginners with Latest APIs

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DeepQA

My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot

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program-y

Python 3.x based AIML 2.0 Interpreter, related programs and knowledge files

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python-aiml

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

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chrome-panel-tabs

[Unmaintained] Open tabs in floating or docked panels outside of Chrome.

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chatterbot-corpus

A multilingual dialog corpus

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ChatScript

Natural Language tool/dialog manager

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tf-stanford-tutorials

This repository contains code examples for the course CS 20SI: TensorFlow for Deep Learning Research.

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practical_seq2seq

A simple, minimal wrapper for tensorflow's seq2seq module, for experimenting with datasets rapidly

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seq2seq

Sequence to Sequence Learning with Keras

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neuralconvo

Neural conversational model in Torch

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hed-dlg

Hierarchical Encoder Decoder for Dialog Modelling

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tf_chatbot_seq2seq_antilm

Seq2seq chatbot with attention and anti-language model to suppress generic response, option for further improve by deep reinforcement learning.

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ubuntu-ranking-dataset-creator

A script that creates train, valid and test datasets for the ranking task from Ubuntu corpus dialogs.

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easy_seq2seq

[unmaintained] go to https://github.com/suriyadeepan/practical_seq2seq

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chatbot-rnn

A toy chatbot powered by deep learning and trained on data from Reddit

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