Repository Index

A Framework for Encrypted Machine Learning in TensorFlow

DataSet File Format (DSFF)

• dataset
• file-format
• machine-learning
• python

A Single Library Parser to extract meta information,static analysis and detect macros within the files.

• malware-analysis
• pdf-parsing
• pe-executable
• office-files

library for nlp with ruby

• rubyml
• nlp

Demo of high performance AI model (pmml export) evaluator api base on Vert.x, Supports dynamic routing configuration for multiple pmml models via JSON

• pmml
• ai
• java-pmml
• verticle

Interpretable drug response prediction with graph neural networks over drugs, cell lines, and genes.

🗺 General purpose U-Network implemented in Keras for image segmentation

• tensorflow
• cv
• cnn
• dnn

A text classification iOS app using tensorflow lite

• ios
• swift
• tensorflow-lite
• tensorflow

A neural networks library for Clojure

• clojure
• machine-learning
• deep-learning
• neural-network

A social science tool to programmatically analyze entities in non-fictional texts

• dependency-parser
• go
• golang
• nlp

The official Node-RED collection by seven.

• sms
• node-red
• node-red-contrib
• text2speech

AI-powered Bitcoin network intelligence in your terminal. Ask questions, get structured analysis.

• ai
• bitcoin
• blockchain
• cli

Every AI coding-agent CLI (Claude Code, Codex, Gemini, Qwen, Vibe) reviews your diff in parallel, read-only, for one ship/no-ship verdict. One tiny script: no server, no MCP.

• ai
• ai-agents
• claude-code
• cli

Model your data with machine learning

• rubyml
• ml
• machine-learning
• machinelearning

A column-oriented approach to feature engineering. Feature engineering and machine learning: together at last!

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.

GNN-based gene-selection deep learning model for drug response prediction

Estimating the number of clusters in a data set via the gap statistic. Implemented in H2O-3

• kmeans
• kmeans-clustering
• clustering
• gap-statistic

Implementation of Partitioning Around Medoids (PAM) in H2O-3

• clustering
• machine-learning
• h2o-3
• java

The repository host gives no description.

• rubyml
• ml
• unsupervised-learning
• kmeans-clustering

Catch silent failures in agent workflows by verifying real system state

• agents
• ai
• automation
• cli

Gluon to Keras deep neural network model converter