- New Delhi, India
Stars
An awesome & curated list of best LLMOps tools for developers
A Python script to detect language of some text and filter out the BAD words
[ECIR'24] Implementation of "Large Language Models are Zero-Shot Rankers for Recommender Systems"
BERT, LDA, and TFIDF based keyword extraction in Python
This repository contains demos I made with the Transformers library by HuggingFace.
A List of Recommender Systems and Resources
Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
Attempt at tracking states of the arts and recent results (bibliography) on speech recognition.
R analysis tools for identifying tokens that may be outliers in your intent data
This repo builds an top of self-supervised speech embeddings using S3PL tool-kit and Text based transformers from Huggingface to explore multi-modal SLU
State-of-the-Art Text Embeddings
Large-scale open domain KNOwledge grounded conVERsation system based on PaddlePaddle
My Portfolio - Personal Website
Transfer the Million Song Dataset (MSD) in an Elasticsearch index
A complete computer science study plan to become a software engineer.
Keras implementation of paper by the same name
Evaluation of Thyroid Nodules Seen on Ultrasound Using Multi-task Deep Convolutional Neural Network (CNN)
sentiment analysis on multi-tasks using adversarial network
A Deep Learning based project for colorizing and restoring old images (and video!)
The Core Code of the Paper: Discovering Differential Features: Adversarial Learning for Information Credibility Evaluation
TensorFlow implementation of the paper `Adversarial Multi-task Learning for Text Classification`
A light weight Python library for the Spotify Web API
Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.