InterpretML

github.com
Visit site

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.

Description

Specs

Type Repository
SectionGitHub projects
Pricing open source
Platform Self-hosted
Systems исходный код
Site languageen
GitHubinterpretml/interpret

Source code

interpretml/interpret

Found in sources

github-lists

Similar in «GitHub projects»

anthropics/claude-code
Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflows - all through natural language commands.
comfyanonymous/ComfyUI
The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface. - Comfy-Org/ComfyUI
ossu/computer-science
🎓 Path to a free self-taught education in Computer Science!
openai/whisper
Robust Speech Recognition via Large-Scale Weak Supervision
Transformers
A deep learning library containing thousands of pre-trained models on different tasks. The goto place for anything related to Large Language Models.
hiyouga/LLaMA-Factory
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024) - hiyouga/LlamaFactory

Submit a site to the catalog

Just send the link — we will work out the rest.

We will review what you send and add it to the catalog if it fits.

Not sure how to implement it? We can help

Tell us about your task — we will pick the tools and suggest where to start.

0 / 5000
Verification code

Fields marked with an asterisk are required. Your data is used only to reply.