pandas

Human-Activity-Recognitionma-shamshiri/Human-Activity-Recognition

A machine learning project comparing topological and statistical feature extraction for classifying human activities from smartphone and smartwatch sensor data.

themis-mlcosmicBboy/themis-ml

A Python library implementing fairness-aware machine learning algorithms for measuring and mitigating discrimination in predictive models.

Introduction to Deep Learning Using Python (GitHub)rouseguy/intro2deeplearning

A hands-on workshop introducing deep learning concepts with practical examples using neural networks, CNNs, RNNs, and autoencoders.

L2XJianbo-Lab/L2X

A method for selecting interpretable feature subsets from complex models using mutual information optimization.

Covid-19 Googlegoogle-research/open-covid-19-data

An open-source data pipeline that aggregates and standardizes heterogeneous public COVID-19 data from multiple global sources.

weightedcalcsjsvine/weightedcalcs

A pandas-based Python library for calculating weighted statistics like means, medians, standard deviations, and distributions.

Packwareucsb-seclab/packware

A research project investigating how packers affect the accuracy of static machine-learning malware classifiers.

Hierarchical Attention Networkstqtg/hierarchical-attention-networks

TensorFlow implementation of hierarchical attention networks for document classification using GRU cells and attention mechanisms.

Big-fishfish-quant/big-fish

A Python toolbox for analyzing smFISH microscopy images, including spot detection and cell segmentation.

MAPSmahmoodlab/MAPS

A machine learning approach for rapid, pathologist-level cell type annotation from spatial proteomics data like MIBI and CODEX.