This Python script fetches and stores mutual fund data from the MFAPI as CSV files. The script retrieves a list of mutual funds and then downloads their individual data, saving each to a CSV file in a specified folder.

S7-S8 Main Project: Concatenation of Attention Enhanced Spatial and Temporal Features for Violence Detection from Videos

Clean up duplicate files using their content hash 📄🕵️📃

Comfortable parallel TQDM using concurrent.futures

Python project scraping recipes from Bianca Zapatka blog

NAVER Cafe Crawler using pandas, tqdm, Selenium, BeautifulSoup4

A Python script for quickly and efficiently converting CBZ and CBR comic files into PDF format.

Filter and display invalid websites URL from the firefox bookmark json file.

Code for parsing 2k+ HTML pages of UofT work study job postings (Aug-Sept 2024); see releases for resulting database files (.db, .sql, .json, .csv, .xlsx)

Assemble mp4 video from list of images

Utilities for scikit-learn. Append prediction to x, append prediction to x single, append x prediction to x, compose var estimator, data frame wrapper, drop by noise prediction, drop missing rows y, dummy regressor var, estimator wrapper base, excluded column transformer pandas, feature union pandas, id transformer, included column transformer pand

A collection of LightGBM callbacks. (DART early stopping, tqdm progress bar)

Python utility for fetching any historical data using caching. Suitable for news, posts, weather, etc.

This project uses the Pegasus model to generate concise, coherent text summaries. Fine-tuned on large datasets, it excels in abstractive summarization, ideal for automating tasks like summarizing articles and research papers.

Parallel processing with progress bars

Simple and Fast ProgressBar Library for Common Lisp. (Reimplementation of cl-cram)

A Python tool to back up files from an Internet Archive account. Fetches, estimates download time, and downloads files with progress tracking and user confirmation. (For Older Devices)

Fast, Extensible Progress Meter (tqdm) For Django

Simply enter an Identifier, and we'll fetch all the goodies for you. Sit back and relax as we handle the technical stuff while you enjoy the show.

Recommending the different outfits to users based on their interests.