[CVPR 2024 Highlight] GenAD: Generalized Predictive Model for Autonomous Driving

Tools and code samples for solving large network analysis problems in ArcGIS Pro

TensorFlow Input Pipeline Examples based on multi-thread and FIFOQueue

An open source tool for large-scale EEG datasets processing

Large scale visualizations of unstructured mesh data

Project for CMU 15-780 Graduate Artificial Intelligence

Processed Amazon Review Dataset for Language Generation (Character Level)

simple pytorch pipeline for pretraining/finetuning vision models on imagenet-1k

A realtime web based watching solution, akin to UNIX's tail -f command, employs Django Channels for real-time monitoring. It obviates page refreshes, efficiently streams updates, supports multiple connections, and shows the last 10 lines of the log.

Scalable, chunk-wise K-anonymization tool based on the Optimal Lattice Anonymization (OLA) algorithm. It is designed to handle large datasets by processing them in manageable chunks, ensuring data privacy while maintaining utility.

🧬 large scale genes data analysis software

Make image classification of the concrete, whether it is crack or not. Image Classification

Tools to extract and analyze domains and URLs from Common Crawl data files.

This application detects duplicate product listings in a large datadump of product listings from Flipkart

Optimizing Large Datasets

ETH Zurich Fall 2017

ETH Zurich Fall 2017

[2021 Summer Research in Applied Machine Learning] Built two desktop apps using PyQt5 to perform pixel-classification with k-means clustering to explore the chemical composition of objects scanned with high-resolution x-rays.

ETH Zurich Fall 2017