ramsrigouthamg

Questgen.ai

Question generation using state-of-the-art Natural Language Processing algorithms

Paraphrase-any-question-with-T5-Text-To-Text-Transfer-Transformer-

Paraphrase any question with T5 (Text-To-Text Transfer Transformer) - Pretrained model and training script provided

Supertranslate.ai

Subtitle Videos and add text motion graphics - https://www.supertranslate.ai/

Generate_MCQ_BERT_Wordnet_Conceptnet

Generate Multiple choice Questions from any content or news article using BERT Extractive Summarization, Wordnet and Conceptnet

GPU_Docker_Deployment_HuggingFace_Summarization

Huggingface inference with GPU Docker on AWS

End-to-end-Youtube-audio-translation-aws-serverless

All the serverless code necessary to convert the audio of a Youtube video in one language to a different language using AWS

generate_boolean_questions_using_T5_transformer

Generating boolean (yes/no) questions from any content using T5 text-to-text transformer model and BoolQ dataset

Generate_True_or_False_OpenAI_GPT2_Sentence_BERT

Generate True or False questions from any content with OpenAI GPT2 text generation, Sentence-BERT semantic search and Berkley constituency parser.

codes_public

deploy_dl_models_to_production_on_AWS

Tutorial to deploy Deep Learning Model to Production on AWS with Docker and Elastic Beanstalk

Questgen_T5

Questgen_Squash_Question_Generation

segmind-story-to-illustrations-nextjs-app

Generate Storybook Illustrations from text using AI. Generate HD images at a 1024 x 1024 pixel resolution, ready for commercial use.

Bart_T5-summarization

Summarization Task using Bart and T5 models.

mcq_question_generation_2021

AiArtist_Chrome_Extension_Backend

The code for AiArtist backend APIs

deployment-question-answering-aws-lambda

Deploy HuggingFace question answering transformer model on AWS Lambda using container image and provisioned concurrency

transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

course-ajax

FSND

Public repository for the Full-Stack Nanodegree program.

Getting-Started-with-Google-BERT

Build and train state-of-the-art natural language processing models using BERT

t5-question-generation-banana-serverless

AiArtist_Chrome_Extension_Frontend

Frontend code for AiArtist Chrome Extension

fastT5

⚡ boost inference speed of T5 models by 5x & reduce the model size by 3x using fastT5.

haystack

:mag: End-to-end Python framework for building natural language search interfaces to data. Leverages Transformers and the State-of-the-Art of NLP. Supports DPR, Elasticsearch, Hugging Face’s Hub, and much more!

image-captioning-clip

Opiq_Aurora_code

pke

Python Keyphrase Extraction module

streamlit-example

Example Streamlit app that you can fork to test out share.streamlit.io

whisper