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A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
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Malloy is an experimental language for describing data relationships and transformations.
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A large-scale information-rich web dataset, featuring millions of real clicked query-document labels
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Freeing data processing from scripting madness by providing a set of platform-agnostic customizable pipeline processing blocks.
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Seamlessly adds a Swagger to Rails-based API's
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A logger for just about everything.
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A collection of common interactive command line user interfaces.
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node.js command-line interfaces made easy
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🖍 Terminal string styling done right
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Bayesian Modeling and Probabilistic Programming in Python
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Emblem Giving is a sample application that demonstrates a serverless architecture with continuous delivery, and trouble recovery. 💠
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Document templates for open-source projects (README, CONTRIBUTING, GitHub templates)
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This is a Full Stack app starter with the foundational things setup and configured for you to hit the ground running on your next EPIC idea.
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This maintains proposals for changes and user-visible enhancements to the Swift Programming Language.
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Enhancements tracking repo for Kubernetes
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RIS Backend/API service
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Repository of Architecture Decision Records
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Architecture decision record (ADR) examples for software planning, IT leadership, and template documentation
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An implementation of GitHub's Primer Design System using React
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Backstage is an open framework for building developer portals
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Architecture and Design Docs
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SWE-agent takes a GitHub issue and tries to automatically fix it, using GPT-4, or your LM of choice. It solves 12.29% of bugs in the SWE-bench evaluation set and takes just 1.5 minutes to run.
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Charlie Mnemonic: The First Personal Assistant with Long-Term Memory
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LSP server leveraging LLMs for code completion (and more?)
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Enable everyone to develop, optimize and deploy AI models natively on everyone's devices.
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This repository collects papers for "A Survey on Knowledge Distillation of Large Language Models". We break down KD into Knowledge Elicitation and Distillation Algorithms, and explore the Skill & Vertical Distillation of LLMs.
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Deita: Data-Efficient Instruction Tuning for Alignment [ICLR2024]
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Quality Diversity through Human Feedback, NeurIPS 2023 ALOE Workshop (Spotlight).
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The CRDT Yjs WebSocket backend for conflict-free real-time collaboration in your app.