Shaida Muhammad (ShaidaMuhammad)

ShaidaMuhammad

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Twitter:@ShaidaSherpao

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Shaida Muhammad's repositories

BERT_summarization_1

Tutorial for first time BERT users,

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CKY-Parser

A Python implementation of the CKY algorithm for generating parse trees, given a CFG (in almost-CNF) and a sentence.

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daux.io

Daux.io is an documentation generator that uses a simple folder structure and Markdown files to create custom documentation on the fly. It helps you create great looking documentation in a developer friendly way.

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duckling

Language, engine, and tooling for expressing, testing, and evaluating composable language rules on input strings.

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exllama

A more memory-efficient rewrite of the HF transformers implementation of Llama for use with quantized weights.

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fast_abs_rl

Code for ACL 2018 paper: "Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting. Chen and Bansal"

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gpt3-sandbox

The goal of this project is to enable users to create cool web demos using the newly released OpenAI GPT-3 API with just a few lines of Python.

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ivy

The Unified Machine Learning Framework

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label-studio

Label Studio is a multi-type data labeling and annotation tool with standardized output format

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nust-thesis-template

A LaTeX thesis template for National University of Sciences and Technology (NUST)

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pashto-stopwords

Pashto Stopwords Corpus and Text Cleansing

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pashto-text-dataset

Text Dataset for Pashto Language

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python-testing-101

Example projects for the Python Testing 101 series from Automation Panda

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rasa

đź’¬ Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants

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simpletransformers

Transformers for Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI

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textsum-gan

Tensorflow re-implementation of GAN for text summarization

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Writing-with-BERT

Using BERT for doing the task of Conditional Natural Language Generation by fine-tuning pre-trained BERT on custom dataset.

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