Awesome MLOps
Section: Model Fairness and Privacy · A comprehensive set of fairness metrics for datasets and machine learning models.
FreshScore 80
Entry
AI Fairness 360
Appears in 4 awesome lists
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
Open github.comtrusted-ai/aif360
Found in these lists
Awesome Open Source AI
Section: 10. AI Safety, Alignment & Interpretability · Comprehensive toolkit for detecting, understanding, and mitigating unwanted algorithmic bias in datasets and ML models.
FreshScore 89
Awesome Production Machine Learning
Section: Explainability and Fairness · A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
FreshScore 92
awesome-python
Section: Machine Learning Frameworks · A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
FreshScore 81
Often listed next to it
InterpretML
InterpretML implements the Explainable Boosting Machine (EBM), a modern, fully interpretable machine learning model based on Generalized Additive Models (GAMs). This open-source package also provides visualization tools for EBMs, other glass-box models, and black-box explanations.
In 8 listsDetails
lightly
MoCo, SimCLR, SimSiam, Barlow Twins, BYOL, NNCLR. vissl - Self-Supervised Learning with PyTorch: RotNet, Jigsaw, NPID, ClusterFit, PIRL, SimCLR, MoCo, DeepCluster, SwAV.
In 6 listsDetails
Guardrails AI
Input/output validation framework for building reliable AI applications. Detects and mitigates risks through composable validators for PII, toxicity, prompt injection, and structured output validation. Features Guardrails Hub with 50+ pre-built validators. Apache 2.0 licensed.
In 6 listsDetails
NeMo Guardrails
NVIDIA's programmable guardrails toolkit: define input, dialog, retrieval, execution, and output rails that intercept the agent loop at five distinct layers using the Colang DSL. The execution rail layer specifically governs what tools the LLM can invoke and what their inputs/outputs may contain —…
In 6 listsDetails
Agent Governance Toolkit
🟢 — Multi-language toolkit for policy-enforced agent tool calls and audit records, with optional identity, MCP-gateway, sandboxing, reliability, and compliance components. (Microsoft) — note: official public preview; APIs and deployment patterns may change before general availability. · updated…;…
In 5 listsDetails
AgentOps
Open-source agent engineering platform (YC W24) with session replay, cost tracking, and failure detection across 10+ frameworks including CrewAI, LangGraph, and OpenAI Agents SDK. The step-by-step execution graph and cross-session metrics make it the most practical debugging layer for multi-agent…
In 5 listsDetails
AI-Infra-Guard
🟢 — Full-stack AI red-teaming platform covering OpenClaw security scan, agent scan, skills scan, MCP scan, AI-infra vulnerability scan, and LLM jailbreak evaluation. (Tencent Zhuque Lab) · updated 2026-09-10); Related: agent-audit · aguara · Cisco AI Defense – skill-scanner · Cisco AI Defense –…
In 4 listsDetails
mukul975/Anthropic-Cybersecurity-Skills
817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 29 security domains…
In 4 listsDetails