Predicting human discourses through online discussions using CNNs and structured prediction models
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Updated
Nov 11, 2017 - Python
Predicting human discourses through online discussions using CNNs and structured prediction models
Detect faces in an image and give prediction about the age, ethnicity and emotion of that face.
A repository to finetune transformers on a multilabel classification task ( based on transformers library ).
Multilabel classification to categorise messages received during a disaster
This code is part of my Ph.D. research. Test the best hybrid partitions with Clus framework.
Build a multi-headed model that’s capable of detecting different types of of toxicity like threats, obscenity, insults, and identity-based hate.
Recurrent Neural Network(LSTM, GRU, etc) Multi Label Classification on Persian Sentences
Test the best hybrid partition generated by hierarchical community detection methods wiht threshold sparsification using clus framework
Generates hybrid partitions using community detection methods.
Predicting the MSC classes and the primary arXiv category of math-related preprints based on their title and abstract.
Tags prediction for the question posted on Stackoverflow.
Built a ML model to identify the Tags associated with the questions asked on StackOverflow
My approach for AV hackathon which got me in the top 5% leaderboard.
An Open-source Neural Hierarchical Multi-label Text Classification Toolkit
Text Classification using ML algorithms
Multilabel Classification for food recommendation
This code is part of my Ph.D. research. Test the best hybrid partition chosen with Macro-F1 criteria using Clus framework.
This is our capstone project in which we increase our external company Jobs for Humanity's job search accuracy and find out new job roles through unsupervised clustering.
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