PyTorch implementation of 'CLIP' (Radford et al., 2021) from scratch and training it on Flickr8k + Flickr30k
Official implementation of Highly Scalable and Provably Accurate Classification in Poincaré Balls (ICDM regular paper 2021)
Text classification with Machine Learning and Mealpy
Bengaluru House Price Prediction using Python (Scikit-Learn, Pandas, NumPy, Matplotlib, Seaborn). Machine learning predicts prices based on features like location, size, and bathrooms. Data preprocessing, Ridge Regression model, and evaluation metrics ensure accurate predictions. Clone, install, and run the script for precise Bengaluru house prices
Scalable sparse linear models in Python
Suppose you have are put incharge of a Mars rover Navigation team. And for the navigation model to find the best path you have to classify which paths are safe, where to slow down and where it is dangerous.
This Repository Contains all the Information and the Projects that I did at SAIL during my Internship
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