shzamani
An AI Scientist and Engineer with 4+ years of hands-on experience in designing and building models and platforms in the area of NLP, DL and conversational AI.
Sydney (Australia)
Pinned Repositories
Article-Classification
Article classification using LDA, CNN and BERT models
automatedParaphrase
Automated paraphrases Generation
babelente
BabelEnte: Entity Extractor and Translator using BabelFy and Babelnet.org
bertviz
Tool for visualizing attention in the Transformer model (BERT, GPT-2, Albert, XLNet, RoBERTa, CTRL, etc.)
blaze
NumPy and Pandas interface to Big Data
dataset-factoid-webquestions
WebQuestions QA Benchmarking Dataset
DeepPavlov
An open source library for deep learning end-to-end dialog systems and chatbots.
COVID19-WhatsApp-Chatbot
COVID-19 Chabot works with WhatsApp messaging app
ParaQuality
A dataset for detecting paraphrasing errors
Vul_Word2Vec
A word2vec model trained over Vulners
shzamani's Repositories
shzamani/Article-Classification
Article classification using LDA, CNN and BERT models
shzamani/automatedParaphrase
Automated paraphrases Generation
shzamani/babelente
BabelEnte: Entity Extractor and Translator using BabelFy and Babelnet.org
shzamani/bertviz
Tool for visualizing attention in the Transformer model (BERT, GPT-2, Albert, XLNet, RoBERTa, CTRL, etc.)
shzamani/blaze
NumPy and Pandas interface to Big Data
shzamani/dataset-factoid-webquestions
WebQuestions QA Benchmarking Dataset
shzamani/DeepPavlov
An open source library for deep learning end-to-end dialog systems and chatbots.
shzamani/dialogflow-python-client-v2
Python client for Dialogflow: Design and integrate a conversational user interface into your applications and devices.
shzamani/openapi-directory
🌐 Wikipedia for Web APIs. Directory of REST API definitions in OpenAPI 2.0/3.0 format
shzamani/ParaQuality
A dataset for detecting paraphrasing errors
shzamani/pauses
🎤 quick library to extract pause lengths from audio files.
shzamani/sensegram
Making sense embedding out of word embeddings using graph-based word sense induction
shzamani/skill-sample-python-helloworld-decorators
This tutorial will walk first-time Alexa skills developers through all the required steps involved in creating a skill using this hello world template, called ‘hello world’. This post assumes you have some familiarity with Python (or a similar programming language) and the Alexa Skills Kit. This tutorial provides an alternate way to build Alexa skills using python decorators. If you are interested in developing skills using classes, please look at the skill-sample-python-helloworld-classes sample.
shzamani/Task-Oriented-Dialogue-Dataset-Survey
A dataset survey about task-oriented dialogue, including recent datasets and SOTA results & papers.