Discover @ramsrigouthamg Open Source projects

Ramsri Goutham Golla (@ramsrigouthamg)

ramsrigouthamg

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Registered about 12 years ago
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Location 🇮🇳 India
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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/

Jupyter Notebook

Generate_MCQ_BERT_Wordnet_Conceptnet

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

Jupyter Notebook

GPU_Docker_Deployment_HuggingFace_Summarization

Huggingface inference with GPU Docker on 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

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_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.

Jupyter Notebook

codes_public

BERT_generate_grammar_MCQ_from_news_article

Use pretrained BERT model to automatically generate grammar multiple choice questions (MCQ) from any news article or story.

Jupyter Notebook

deploy_dl_models_to_production_on_AWS

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

serverless_word_embeddings_and_similar_words_retrieval_AWS

NLP - Serverless deployment of word embeddings and retrieving most similar words using Kmeans, AWS Aurora Serverless and Lambda

Questgen_T5

Jupyter Notebook

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.

Neuralcoref_generate_english_pronoun_questions

Practical AI : Generate english pronoun questions using neuralcoref from huggingface

Jupyter Notebook

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

Openni-Drivers-Windows-7

OpenNI,SensorKinect&NITE

openNI_Windows7

openNI,SensorKinect,NITE