A framework for prototyping and benchmarking imputation methods

Python toolkit for preprocessing data for the City Controller's Gun Violence Dashboard

All the scripts to prepare the Courtois-Neuromod dataset

Simple and automatic data cleaning in one line of code! It performs one-hot encoding, date & time casting to datetime dtype, detects binary columns, safely convert non-numeric columns to numeric dtypes, cleaning dirty/empty values, normalizing values and removing unwanted columns all in one line of code. Get your data ready for model training an…

A Python Library for the Generation of Artificial Missing Data

An AI-powered resume and job description matching application using natural language processing and machine learning techniques. This application provides intelligent analysis of resume-job compatibility with detailed scoring and recommendations.

NLPiper is a package that agglomerates different NLP tools and applies their transformations in the target document.

Functionality to preprocess and analyse multi-omics data

Linear_Regression_Practical_Salary

Preprocessing scripts for 1:50K tiles issued by the survey department, Sri Lanka

MNIST is a Dataset for images of handwritten digits Classification with KNN by extracting features using centroid

Explore your favorite anime with this interactive search app! 🚀 This project leverages Weaviate for vector search and Gradio for a seamless user interface. Using embeddings from a custom anime dataset, you can perform quick and accurate similarity searches for anime titles

rag workflow w/ pinecone-db -- enriches LLM context with a YT/BBC news dataset to provide more accurate insights as well as sources

Growing collection of scripts that manipulate text data.

Scripts to preprocess ocean data files from custom apps in order to export the data to Ocean Information Model.

BigKinds Data Analysis Toolkit for python

animal-behavior-preprocessing is a Python repository to preprocess animal behavior data. It works on the output spreadsheets from video-tracking of animal body parts with LEAP or DeepLabCut. It applies a Median Filter, an Ensemble Kalman Filter, transforms data to joint angles and computes their Morlet Wavelet Spectra.

Just add a few sample images and run transfer Learning. It classifies tons of images like magic.