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Dump all your files and chat with it using your generative AI second brain using LLMs & embeddings.
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Dump all your files and chat with it using your generative AI second brain using LLMs & embeddings.
github.com
A Python script for parsing your chat history and visualizing your location history on Snapchat
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Command line tool to optimize your webfont loading. Aggressive subsetting based on your font use, self-hosting of Google fonts and preloading
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Unity2Snap is an open source tool that converts your Unity scenes directly into Snapchat Lens Studio with a single click, making it effortless to bring your existing Unity projects into Spectacles AR.
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Curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning.
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A Virtual Feature Store. Turn your existing data infrastructure into a feature store.
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Drag & drop UI to build your customized LLM flow using LangchainJS.
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Create customizable UI components around your models.
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Platform for deploying your Machine Learning to production.
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Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
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Version and deploy your ML models following GitOps principles.
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Open source MLOps platform that helps you collaborate, reproduce and share your ML work.
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Self-hosted downloader and player for YouTube, Bilibili, Twitch, MissAV, and yt-dlp sites. Features channel subscriptions, auto-downloads, and local storage for media. Organize your library into collections with a sleek UI. Includes built-in Cloudflare Tunnel support for secure remote access without port forwarding. Docker-ready deployment.
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Jan - Run LLMs like Mistral or Llama2 locally and offline on your computer, or connect to remote AI APIs.
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Turns your ML code into microservices with web API, interactive GUI, and more.
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The open source solution for monitoring your AI models in production.
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Lets you create apps for your ML projects with deceptively simple Python scripts.
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Build and control your personal LLMs with fast and efficient fine-tuning.
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Eurybia monitors data and model drift over time and securizes model deployment with data validation.
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A hands-on course to train and deploy a serverless API that predicts crypto prices.
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A service for deployment Apache Spark MLLib machine learning models as realtime, batch or reactive web services.
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An Easy-to-Use and High-Performance AI deployment framework.
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Tutorial on Python time-series model deployment.