[ICLR 2026] OmniWorld: A Multi-Domain and Multi-Modal Dataset for 4D World Modeling
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Updated
Apr 16, 2026 - Python
[ICLR 2026] OmniWorld: A Multi-Domain and Multi-Modal Dataset for 4D World Modeling
GA algorithm to solve bin packing and production scheduling problems
Synthetic sounds datasets and real sounds datasets of waterflow sounds for the repo 'Neural-Texture-Sound-Synthesis-with-physically-driven-continuous-controls'.
R scripts and data sets to reproduce the results in the paper "Accounting for shared covariates in semi-parametric Bayesian additive regression trees". The Annals of Applied Statistics (to appear).
Predict crop yields using machine learning. Flask web app with high accuracy for assisting farmers and policymakers.
ML pipeline for predicting medical claim costs from non-linear, sequential visit data. Accuracy is built to improve with new visit inputted. Uses LSTM autoencoder embeddings + XGBoost complexity router (87% accuracy) to classify claims as LOW/MED/HIGH complexity, then routes to specialized regression models.
Implementation of SQL commands using various strategies, including B* Tree, to manipulate a real database provided by Secretariat of Public Security of São Paulo, containing information about cellphone thefts.
This project is based on the nobel prize laureates. DataCamp datasets were used for this project.
Exploratory Data Analysis on real-world Zomato dataset with actionable insights and visualizations
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