thoughts on continual learning and experiments.
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Updated
Jan 25, 2021 - Python
thoughts on continual learning and experiments.
🤗 Flask API for Hugging Face's facebook/bart-large-mnli model
Codes for the experiments in our EMNLP 2021 paper "Open Aspect Target Sentiment Classification with Natural Language Prompts"
CS410 Tech Review - X-Class for classifying biology papers with biomimicry functions
A Chat Moderation Bot for Discord
Aspect-based Sentiment Analysis with Custom Aspects using Latent Dirichlet Allocation and Zero-shot Classification
a mini zero-shot text classification implementation using streamlit and transformers
Alternate Implementation for Zero Shot Text Classification: Instead of reframing NLI/XNLI, this reframes the text backbone of CLIP models to do ZSC. Hence, can be lightweight + supports more languages without trading-off accuracy. (Super simple, a 10th-grader could totally write this but since no 10th-grader did, I did) - Prithivi Da
Code and Data sets for the EMNLP-2021-Findings Paper "ProtoInfoMax: Prototypical Networks with Mutual Information Maximization for Out-of-Domain Detection"
Code for EMNLP2019 paper : "Benchmarking zero-shot text classification: datasets, evaluation and entailment approach"
Zero-shot matching of professional training titles with their corresponding positions/labor market field
Evaluation notebook testing zero-shot and few-shot CLIP capabilities over the cifar100 dataset
2022 Silicon Valley Internship (IT23)
To check the frequency of an entity from the data and to classify the data in terms of negative and positive with their polarity scores.
Generalized Zero-Shot Character Recognition
How to use Zero-Shot Learning for Text Classification
Repository with the source code of our experiments for a multi-objective prioritization approach to optimize the execution of natural language test cases of a game.
Named Entity Recognition to detect landmarks in German texts
Official PyTorch Implementation of MSDN (CVPR'22)
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