ml-tools

Real-time reward debugging and hacking detection for reinforcement learning

ExplaineR is an R package built for enhanced interpretation of classification and regression models based on SHAP method and interactive visualizations with unique functionalities so please feel free to check it out, See ExplaineR paper at doi:10.1093/bioadv/vbae049

🚀 The Ultimate Curated List of LLMOps Tools, Frameworks, and Resources - A comprehensive collection of the best tools for Large Language Model Operations

Ultramodern ML cookicutter

🧠 NeuroForge is an intuitive drag-and-drop tool for building and training neural networks, featuring data preprocessing, interactive visualizations, and automated model architecture design. Built with PyTorch and Streamlit, it simplifies the deep learning workflow from data preparation to model deployment with GPU acceleration support.

Can be used to spin-up mojaloop and make test transfers (P2P, etc) using TTK. This repo can also be used for functional tests in the core services.

Medical artificial intelligence toolbox (MAIT): an explainable machine learning framework for binary classification, survival modelling, and regression analyses

GPU batch-size probing and thermal-aware CPU thread control — binary search with OOM recovery, configurable safety headroom, no framework required

🥧 Development toolkit & templates. Advanced AI context engineering, production project frameworks.

🪞 Catch false positives/negatives in AI eval claims — pre-registration, fair-baseline, small-sample CI. Zero training, zero deps.

Understanding AI and ML, using them

CircleCI Orb for workflows, pipelines

Github and general tools for the Mojaloop Community

MLGuard – Lightweight ML experiment manager and leakage detection toolkit

Shared config for Mojaloop CI/CD Pipelines

ScrollScribe is a Python CLI toolkit that grab docs or index website pages and converts them into clean local Markdown using browser automation and LLM filtering, perfect for building RAG datasets.

A project template for new mojaloop services and libraries that uses Typescript.

NeuralViz — Single-file, offline visualizer for PyTorch .pth checkpoints. Drag & drop a state_dict in your browser to explore layers, weights & biases and watch activations propagate. No install, no server, 100% private.