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26-weeks-of-data-science

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aind2-nlp-capstone

automatic-question-answer-generation

A rule based system system for automatically generating Factoid question Answers based on "A rule based question generation framework to deal with simple and complex sentences" by Das et.al

autoviml

bart_t5-summarization

Summarization Task using Bart and T5 models.

bert-squad

SQuAD Question Answering Using BERT, PyTorch

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.

bertopic

Leveraging BERT and c-TF-IDF to create easily interpretable topics.

bertsimilarity

Sentential Semantic Similarity measurement library using BERT Embeddings for spatial distance evaluation.

carnd-vehicle-detection

Vehicle Detection Project

clustertransformer

Topic clustering library built on Transformer embeddings and cosine similarity metrics.Compatible with all BERT base transformers from huggingface.

content-based-recommendation---good-reads-data

Content Based Recommendation using Good read data

data-mining--unsupervised-learning

Data Mining- Unsupervised Learning -Clustering

data-mining-unsupervised-learning

Data Mining- Unsupervised Learning -Association Rules-market basket analysis

deep_autoviml

Build tensorflow keras model pipelines in a single line of code. Created by Ram Seshadri. Collaborators welcome. Permission granted upon request.

deploy_dl_models_to_production_on_aws

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

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_mcq_bert_wordnet_conceptnet

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

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.

getting-started-with-google-bert

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

mcq_question_generation_2021

miniattention

Hierarchical Attention Layer for Keras for document classification.

mlops

It contains tutorial of various MLOps algorithm. Will update it as soon as I learn something new. Happy Learning.

questgen.ai

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

speech-recognition-neural-network

This is the end-to-end Speech Recognition neural network, deployed in Keras. This was my final project for Artificial Intelligence Nanodegree @Udacity.

speech-to-text

Speech to Text with Hugging Face and Wav2vec 2.0

text-analysis

Basic text analysis, Topic mining, wordcloud and Cog creation,webscraping

text-analytics

NLP Classification of Tweets (Twitter Data)

transformers

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