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Deep learning framework to train, deploy, and ship AI products Lightning fast.
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Alpi Maps is a code project with source, releases, documentation, or setup notes.
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Awesome Maps is a code repository or project page with source code, releases, documentation, or setup notes.
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Maps is a miscellaneous web resource for discovery, directories, archives, web culture, or useful tools.
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A curated list of AI market maps from 2026, 2025, and 2024, by Joy Larkin.
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Google Maps Scraper & Lead Generation Tool. Extract 50+ data points including business emails, phone numbers, and social profiles. Includes enrichment features, API access, and no recurring fees
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) - Pay bills with Bitcoin — a peer-to-peer protocol built on Nostr + Lightning Network
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) - Self-sovereign machine learning training tool for nostr global feed. Trained models can be monetized/distributed over nostr private messages. Your pre-paid model subscribers register via lightning payments.
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) - Core Lightning (CLN) plugin to connect wallets via Nostr Wallet Connect (NWC)
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) - Corny Chat is an open source audio space built on Jam that integrates Nostr and Lightning.
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) - NIP-90 image generation DVM (kind 5100) in Go, paid via Lightning
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) - NIP-90 text generation DVM (kind 5050) in Go, paid via Lightning
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) - Encrypted DMs over nostr with lightning payments integrated (WIP).
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PyTorch Lightning extension that accelerates and enhances foundation model experimentation with flexible fine-tuning schedules.
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Intuitive convenience tooling for lightning-fast, efficient development and ensuring quality in LLM-based applications.
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The lightweight PyTorch wrapper for high-performance AI research.
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Toolbox of models, callbacks, and datasets for AI/ML researchers.
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Project that automatically maps relationship networks by parsing public data using LLMs and visualizes it as an interactive graph.
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) - A social geojson editor with maps on Nostr
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Rendering beautiful SVG maps in Python.
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Fixes the bug which forces a player to create a new character when they already have a save. Useful for migrating maps from co-op to dedicated servers and from one dedicated server to another.
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Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters, has python API.
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Source 2 Viewer is an all-in-one tool to browse VPK archives, view, extract, and decompile Source 2 assets, including maps, models, materials, textures, sounds, and more.