Search Packages

interpret-core

Fit interpretable models. Explain blackbox machine learning.

interpret

Fit interpretable models. Explain blackbox machine learning.

aplr

APLR builds predictive, interpretable regression and classification models using Automatic Piecewise Linear Regression. It often rivals tree-based methods in predictive accuracy while offering smoother and interpretable predictions.

accelerator

The Accelerator is a tool for fast and reproducible processing of eBay-scale datasets on a single computer.

cot-reports

cot_reports is a Python library for fetching the Commitments of Trader reports of the Commodity Futures Trading Commission (CFTC). The following COT reports are supported: Legacy Futures-only, Legacy Futures-and-Options Combined, Supplemental Futures-and-Options Combined, Disaggregated Futures-only, Disaggregated Futures-and-Options Combined, Traders in Financial Futures (TFF) Futures-only and Traders in Financial Futures (TFF) Futures-and-Options Combined.

shapash

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

copilot-usage

Local-first Copilot usage analytics — token tracking, premium estimates, and dashboard

agent-alignment-protocol

Agent Alignment Protocol — the missing trust layer for the agent stack

openpolicedata

The OpenPoliceData (OPD) Python library is the most comprehensive centralized public access point for incident-level police data

model-card-toolkit

Model Card Toolkit

explainx

Explain and debug any black-box Machine Learning model.

secop-mcp-server

MCP Server para consultar contratación pública de Colombia (SECOP I y II)

agentguard-eu

EU AI Act compliance middleware for AI agents. Make any LLM-powered agent legally deployable in Europe with 3 lines of code.

ai-provenance-protocol

The AI Provenance Protocol (APP) is an open standard for verifying AI-generated content. It provides a machine-readable format to track model identity, inputs, and human review. Designed for EU AI Act compliance (Article 50) and global governance, APP ensures transparency and accountability for any AI output.

theohe-epias

Energy Exchange Istanbul (EXIST) or Enerji Piyasaları İşletme A.Ş. (EPİAŞ) by its Turkish name is an energy exchange company.

powerlift

Fit interpretable models. Explain blackbox machine learning.

django-public-project

Custom Python/Django CMS - Transparency for Public Projects (used for BERwatch/BLBwatch)

imf-fx

High-performance Python client for IMF SDMX 3.0 exchange-rate data, with a monthly USD dataset helper.

shantay

investigating the EU's DSA transparency database

themis-ml

A library that implements fairness-aware machine learning algorithms

hyperassist

A modular tool for analyzing machine learning training logs and hyperparameters. It helps developers and researchers gain insight into training dynamics, surface anomalies, and improve model performance through informed tuning.

npdi-oas

OpenAPI spec for NPDI data models

nedextract

extract specific information from annual report files

libreselery

Continuous distribution of funding to your project contributors and dependencies. Integrated into GitHub Actions