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algorithms-for-sea-route-optimizaiton

Finding the distance-based optimal sea route using Depth First Search (DFS), Dynamic Programming (DP), and Beam Search.

anti-national-tweets-classification

Build a classifier to classify anti-national tweets from normal tweets based on the Khalistan movement.

atharvajk98.github.io

awesome-multimodal-ml

Reading list for research topics in multimodal machine learning

book-my-turf-android-app

A first of its kind Android App for connecting football enthusiasts to local turfs.

custom-ic-dst

daberta-emnlp-2022

eacl-wassa-2021-empathy-distress

flipkart-product-category-classification

Implementation of ML algorithms for FlipKart Product Category Classification based on the product's description and other features.

icon-2020-techdofication

The repository contains team SPPU_AKAH's submission for the ICON 2020 TechDOfication Shared Task (Subtask-1f). We propose a hybrid BiLSTM-CNN based Attention Ensemble model for the task of coarse-grained automatic technical domain identification of short texts in the Marathi Language. Our system resulted in the best submission for the subtask-1f.

mental-health-datasets

An evolving list of electronic media data sets used to model mental-health status.

meta-word-embeddings

Implementation of Meta-Word-Embeddings, a combination of word2vec, GloVe, and fassttext word embeddings using various types of autoencoders.

mtl-group-robustness

Official repo of the TMLR 2024 paper Multitask Learning Can Improve Worst-Group Outcomes

python-and-machine-learning-cheatsheets

A one-stop shop for python and machine learning tips and tricks!

semantic-textual-similarity

Implementation of a Siamese LSTM for Semantic Textual Similarity task.

uci-sentiment-analysis

Implementation of various Machine Learning and Deep Learning models for Sentiment Analysis on the 'Sentiment Labelled Sentences Data Set' by University of California, Irvine.

wilds

A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.