Beast code in Giters

Basit Saeed's starred repositories

bertviz

BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)

Language:PythonApache-2.0654000

notebooks

Notebooks using the Hugging Face libraries 🤗

Language:Jupyter NotebookApache-2.0341500

horovod

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

Language:PythonNOASSERTION1405500

stylegan2

StyleGAN2 - Official TensorFlow Implementation

Language:PythonNOASSERTION1086500

awful-ai

😈Awful AI is a curated list to track current scary usages of AI - hoping to raise awareness

691900

QA-Overlap

Code to support the paper "Question and Answer Test-Train Overlap in Open-Domain Question Answering Datasets"

Language:PythonNOASSERTION6600

Multiple-Choice-Question-Generation-T5-and-Text2Text

Question Generation using Google T5 and Text2Text

Language:Python15200

datasets

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

Language:PythonApache-2.01868500

text2text

Text2Text: Crosslingual NLP/G toolkit

Language:PythonNOASSERTION27700

Question-Generation-Paper-List

A summary of must-read papers for Neural Question Generation (NQG)

58000

question_generation

Neural question generation using transformers

Language:Jupyter NotebookMIT108100

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Language:PythonApache-2.012820900

question_generation

It is a question-generator model. It takes text and an answer as input and outputs a question.

Language:PythonGPL-3.017300

RL-based-Graph2Seq-for-NQG

Code & data accompanying the ICLR 2020 paper "Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation"

Language:PythonApache-2.012100

qgen-papers

☀️A list of question generation papers (with code)

500

text-to-text-transfer-transformer

Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"

Language:PythonApache-2.0599400

MedQuAD

Medical Question Answering Dataset of 47,457 QA pairs created from 12 NIH websites

NOASSERTION32700

ELI5

Scripts and links to recreate the ELI5 dataset.

Language:PythonNOASSERTION31300