scikit-learn scikit-learn.org ↗

A Python machine learning library including probability calibration tools.

LibraryAI & MLmachine-learningpythoncalibration

Recommended in 1 thread

Using LLM for confidence scoring is a bad idea
rumple.github.io · 5 days ago
Its calibration module was cited as the established science for turning classifier outputs into probabilities.

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Models from Liquid AI trained specifically to produce decisions with calibrated confidence.
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SHAP ↗AI & ML
A library for explaining machine learning model outputs using Shapley values.
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Python agent framework with abstractions over LLM providers.
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An open-source Python library for estimating the carbon emissions of compute workloads.
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MCP tooling that lets LLM agents edit Clojure code and interact with a REPL.
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OpenRouter ↗
A marketplace that routes API requests to many LLM inference providers.
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GLM ↗
An open-weights large language model family from Zhipu AI.
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llama.cpp
A C/C++ engine for running LLMs locally.
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GoModel ↗
LLM gateway written in Go, offered as a LiteLLM alternative.
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DeepSeek
A family of large language models offered via a low-cost API.
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OpenCode Go ↗
A subscription plan for accessing models through the OpenCode coding tool.
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Cerebras ↗
A hosted fast inference service offering Qwen models.
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Claude
Anthropic's AI model and command-line assistant.
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Claude Code gateways ↗
Documented setup for routing Claude Code through an LLM gateway for centralized control and alternate model providers.
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Cloudflare Workers AI ↗
Cloudflare's serverless platform for running hosted AI models.
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CodeCarbon ↗
An open-source Python library for estimating the carbon emissions of compute workloads.
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Codex
OpenAI's coding agent.
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Link from a commenter, not checked or endorsed by us: ↗ https://scikit-learn.org/stable/modules/calibration.html