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Node.js module to help you understand how your tool is being used by anonymously reporting usage metrics to Google Analytics

Documentation for LearnPrompting, covering setup, features, and practical usage.

Linux command reference with examples, explanations, flags, and practical command-line usage.

Linux command reference with examples, explanations, flags, and practical command-line usage.

Documentation for LLM Evaluation Clarifai Guide, covering setup, features, and practical usage.

Documentation for Miku, covering setup, features, and practical usage.

Documentation for MiniMax, covering setup, features, and practical usage.

An asynchronous engine for continuous & autonomous machine learning, built for real-time usage.

Desktop oriented webapp for Mastodon and Pleroma, focused on multi-accounts usages.

Documentation for SillyTavern, covering setup, features, and practical usage.

Start.me statistics page showing public pages, link collections, and directory usage data.

Documentation for Tune, covering setup, features, and practical usage.

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

Documentation for Weights & Biases (Prompts), covering setup, features, and practical usage.

Nuvio Wiki provides community-maintained installation, configuration, and usage guides for Nuvio software.

Documentation for Z.AI Developer Platform, covering setup, features, and practical usage.

)![stars] - +chorus is a simple space for communities to gather, share, and support each other.

Creates, rewrites or summarizes written content with language models.

A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision.

) - Simple and cross-platform Nostr signer that keeps your keys secure across desktop and mobile devices.

A simple lightning mobile wallet interface that works great with Alby Hub.

AlsoAt creates a simple profile page for sharing social links, websites, and important resources.

Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.

A simple, but essential Bayesian optimization package, written in Python.