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animefeedbackinsights

Explores users' feedback on anime by analyzing various features, aiming to identify factors affecting anime quality and users' reactions. Using inference, prediction, and classification approaches, the project examines the impact of premiered year, genre preferences... on anime scores, as well as builds prediction models.

dsga1016_final_project

economicrawler

Automates weekly web scraping using Scrapy, shell scripting, and cron job scheduling to extract relevant articles from The Economist, and update to MongoDB Cloud, with email notifications function.

human-and-rl-agent-adaptation-in-flappy-bird-variations

Explore the role of prior knowledge in the learning curve and adaptability of both humans and RL agents

mot16-visualtracker

This tool visualizes and evaluates Multiple Object Tracking models using the MOT16 dataset, providing real-time comparison with ground truth through intuitive interfaces. Streamline model development with detailed analytics and visual feedback.

semantic_segmentation_in_video_sequences_competition

NYU Deep Learning 2023 project for semantic segmentation in video sequences using dual-phase learning with U-Net and ConvLSTM, focusing on predicting segmentation masks from synthetic 3D shape videos.

soupandseleniumscrapers

A testing ground for BeautifulSoup and Selenium

sparse-gaussian-process-for-missing-heart-rate-data-imputation

Explores the application of Gaussian Process (GP) and sparse GP algorithms to handle missing heart rate time series dataset. Our findings emphasize the importance of kernel selection, specifically the RBF kernel, and the careful tuning of hyperparameters to achieve optimal performance in imputation tasks