Popular GitHub Repositories for Transparent

? Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

Interpretable ML package ? for concise, transparent, and accurate predictive modeling (sklearn-compatible).

Fully convolutional deep neural network to remove transparent overlays from images

LLMFlows - Simple, Explicit and Transparent LLM Apps

[High Performance / MAX 30 FPS] RaspberryPi3(RaspberryPi/Raspbian Stretch) or Ubuntu + Multi Neural Compute Stick(NCS/NCS2) + RealSense D435(or USB Camera or PiCamera) + MobileNet-SSD(MobileNetSSD) + Background Multi-transparent(Simple multi-class segmentation) + FaceDetection + MultiGraph + MultiProcessing + MultiClustering

A comprehensive suite of tools, built to liberate science by making the creation, evaluation, and dissemination of research more transparent, affordable, and efficient.

A wrapper of LLMs that biases its behaviour using prompts and contexts in a transparent manner to the end-users

Asent is a python library for performing efficient and transparent sentiment analysis using spaCy.

TOM-Net: Learning Transparent Object Matting from a Single Image (CVPR 2018 Spotlight)

Distribution transparent Machine Learning experiments on Apache Spark

Akeru is an open source AI platform built on top of the Akeru AI edge network. The network runs as a Bittensor Subnet, providing a transparent, safe and highly available AI capacities.

Simple Transparent End-To-End Automated Machine Learning Pipeline for Supervised Learning in Tabular Binary Classification Data

OpenCL for Nets - A Deep Learning Framework based on OpenCL, written by C++. Supports popular MLP, RNN(LSTM), CNN(ResNet). Friendly debugger. Transparent data. No library dependencies. 基于OpenCL的深度学习计算框架，C++开发，支持多层感知器，长短时记忆模型，卷积神经网络，残差网络。调试方便，数据透明。无外部依赖。

Real-time, open-source simulation of transparent objects for deep learning applications

Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.

Transparent and privacy-friendly synthetic data generation

Orchestrator Kit for Agentic Reasoning - OrKa is a modular AI orchestration system that transforms Large Language Models (LLMs) into composable agents capable of reasoning, fact-checking, and constructing answers with transparent traceability.

A meta-framework for self-improving LLMs with transparent reasoning

Declarative agentic framework for AI-driven software development. Define, validate, and orchestrate AI agents as code—transparent, auditable, and CI/CD-ready. Run your SDLC as Code today

An Introduction to Transparent Machine Learning