Probabilistic Programming and Nested sampling in JAX

ParallelChat 是一款开源的多 AI 并行对话桌面应用，让你在一个界面中同时使用 ChatGPT、Kimi、Qwen、DeepSeek、GLM、Doubao、Yuanbao、Grok 等主流大模型，无需 API Key，完全免费。

loo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)

Modular Assessment of Rainfall-Runoff Models Toolbox - Matlab code for 47 conceptual hydrologic models

Ultralytics model comparison docs and automated QA for websites, links, spelling, sitemaps, and image sizes.

First LLM Studio: local-first LLM studio for Apple Silicon with MLX runtimes, Compare Lab, benchmark ops, replay, and runtime telemetry.

PolyCouncil is an open-source multi-model deliberation engine for LM Studio. It runs multiple LLMs in parallel, gathers their answers, scores each response using a shared rubric, and produces a final, consensus-driven result. Designed for testing, comparing, and orchestrating local models with ease.

Supporing code for the paper "Bayesian Model Selection, the Marginal Likelihood, and Generalization".

⚔️ Compare AI models side by side — same prompt, streamed answers, live code previews, speed, tokens and cost. Keys never leave your browser.

Validate and retry LLM outputs for ruby_llm. Describe the JSON response you expect, fall back to a stronger model when the cheaper one fails the rules, and gate CI on regressions — all as one contract object per step.

This repository contains my online payment fraud detection project using Python

Complete guide for using alternative AI models with Claude Code — including DeepSeek, Qwen, MiniMax, Kimi, GLM, MiMo, StepFun, and more. Pricing, configs, and coding plans.

A python script that automatise the training of a CNN, compress it through tensorflow (or ristretto) plugin, and compares the performance of the two networks

Forecasting Bitcoin Prices via ARIMA, XGBoost, Prophet, and LSTM models in Python

A collection of handy ML and data visualization and validation tools. Go ahead and train, evaluate and validate your ML models and data with minimal effort.

This is the repo for a python package that does model comparison between different regression models.

A Bayesian SED synthesis and analysis tool for galaxies and AGNs, featuring an interface optimized for both humans and AI agents.

NeurIPS 2018. Linear-time model comparison tests.

Connect agents to agents. MCP server for querying any LLM through your existing subscriptions: compare, vote, and synthesize across GPT, Gemini, Claude, and local models from one terminal.

Matlab command-line functions for supporting Simulink model comparison