Repository Index

The modern link attribution platform. Loved by world-class engineering teams at Twilio, Zillow, Jobber, Vercel, Raycast, and more.

• vercel
• nextjs
• upstash
• tinybird

A unified framework for machine learning with time series

• time-series
• machine-learning
• scikit-learn
• time-series-classification

The machine learning toolkit for time series analysis in Python

• time-series
• timeseries
• time-series-analysis
• time-series-clustering

A library for debugging/inspecting machine learning classifiers and explaining their predictions

• scikit-learn
• machine-learning
• xgboost
• lightgbm

Mixed-effects models in R using S4 classes and methods with RcppEigen

ANDLineChartView is easy to use view-based class for displaying animated line chart.

• chart
• objective-c
• ios

Crop/Weed Field Image Dataset

• dataset
• crop
• paper
• agriculture

This project aims to classify human activities using data obtained from accelerometer and gyroscope sensors from phone and watch.

Cyber Defence Monitoring Course Suite :: Suricata, Arkime (and others in the past)

• moloch
• suricata
• monitoring
• nsm

Classes and methods for spatio-temporal data

Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.

• svm
• regression
• classification
• machine-learning

📊 🌐 🧑‍🏫 Website for graduate-level course on program evaluation and causal inference using R, built with Quarto

• causal-inference
• program-evaluation
• quarto
• r

Classification and Gradient-based Localization of Chest Radiographs using PyTorch.

• fine-tuning
• vgg16
• resnet18
• densenet121

This project presents a Python-based spam detector program that utilizes the Naive Bayes approach to classify emails as either spam or ham. The system is designed to accurately and efficiently identify spam messages, providing a useful tool for individuals and organizations seeking to manage their email inboxes more effectively.

• anaconda
• jupyter-notebook
• python

Human Protein Atlas image classification competition

An Icon classifier made with TFLite Model Maker and deployed to Android with ML Model Binding.

• tensorflow-lite
• tflite
• computer-vision
• deep-learning

Python implementation of the goldeneye algorithm to investigate how classifiers utilise the structure of a dataset.

• data-science
• model-explanation

Comparing the performance of Stacked Ensemble Learning & machine learning algorithms like Random Forest, Decision Tree, Adaboost, Gradient Boost and XGBoost Classifier in Python for Stock Market Trend Prediction.