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🐘 Mastodon client for Android, iOS and Desktop (JVM)
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SQL database that you can fork, clone, branch, merge, push and pull just like a git repository.
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Dopamine is a code project with source, releases, documentation, or setup notes.
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Doqment is an open source project with code, documentation, and setup resources for browser settings.
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Tiny alternative Discord client with a smaller footprint, snappier startup, themes, plugins and more!
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Google dork generator that builds advanced search queries for OSINT and reconnaissance.
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A lightweight Python library for building execution pipelines with retry, parallel execution, cron scheduling, and async support.
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Double H3lix is a code project with source, releases, documentation, or setup notes.
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DroidVNC-NG is a code project with source, releases, documentation, or setup notes.
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Example of RAG architecture using semantic search and summarization for retrieving Bible passages.
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An open-core tool to automate data and training workflows.
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High performance library for time series distances (DTW) and time series clustering.
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Python library for decision tree visualization and model interpretation.
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DualWallpaper is a code project with source, releases, documentation, or setup notes.
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Design and Deploy Large Language Model Apps.
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Easy Notes is a code project with source, releases, documentation, or setup notes.
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Open-source project that creates or edits images with generative AI and text-based controls.
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Echo is a code project with source, releases, documentation, or setup notes.
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Eclipse is a code project with source, releases, documentation, or setup notes.
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EeveeSpotifyRevivedPublic is a code project with source, releases, documentation, or setup notes.
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Deep learning operations reinvented (for pytorch, tensorflow, jax and others).
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) - A bare-bones desktop nostr client using electron-react-boilerplate. The goal is to be an easy template for people to experiment with different ideas on decentralized ratings, reputation, and web of trust
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Python package which helps to debug machine learning classifiers and explain their predictions.
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Functions and data dependencies for loading various word embeddings.