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anandanne's Projects

healthprompt icon healthprompt

Prompt Learning is a new paradigm in Natural Language Processing(NLP), which uses pre-trained language models to perform downstream tasks, avoiding fine tuning of a model. This zero-shot learning approach can be applied to healthcare applications, where there is limited availability of data. This projects aims to design prompt methodologies for dow

hugnlp icon hugnlp

HugNLP is a unified and comprehensive NLP library based on HuggingFace Transformer. Please hugging for NLP now!😊

image-classifying-pokedex icon image-classifying-pokedex

A custom image classification Pokedex app built with AutoML Vision API, Google Cloud Storage and Chart.js. Submitted to New Year New Hack Hackathon. 3rd place winner.

innoplexus_av icon innoplexus_av

Repository with 1st place solution for Innoplexus Hackathon hosted on Analytics Vidhya

interpret_p_tuning icon interpret_p_tuning

Source code for paper "Interpretability in Continuous Prompt Tuning for Japanese Generative Pre-trained Transformers"

kaggler-template icon kaggler-template

Template for data science competitions. Includes makefiles and Python scripts for feature engineering, cross validation, ensemble, etc.

kaggle_altegrad icon kaggle_altegrad

First place solution for the French Web Domain classification challenge of the Altegrad 2020 course

kaggle_dogs icon kaggle_dogs

Solution for Kaggle's Generative Dog Images competition

kaggle_otto_rs icon kaggle_otto_rs

3rd place solution for the OTTO – Multi-Objective Recommender System competition

kaggle_quora icon kaggle_quora

Solution for Kaggle's Quora Insincere Questions Classification competition

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