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FastAPI framework to build production-grade LLM applications.
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Serverless LLM apps on Production with Jina AI Cloud (Archived).
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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LLM Ops platform with Analytics, Monitoring, Evaluations and an LLM Optimization Studio powered by DSPy.
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Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
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Neural network inference from the command line, implemented in CHICKEN Scheme.
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A lightweight, portable pure C99 onnx inference engine for embedded devices with hardware acceleration support.
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LLM App is a Python library that helps you build real-time AI-powered data pipelines with few lines of code.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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A platform for deploying and serving machine learning models.
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MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.
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Intuitive convenience tooling for lightning-fast, efficient development and ensuring quality in LLM-based applications.
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Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
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ModelFox is a platform for managing and deploying machine learning models.
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OpenAI compatible API for LLMs and embeddings (LLaMA, Vicuna, ChatGLM and many others).
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Machine learning model serving framework with dynamic batching and pipelined stages, provides an easy-to-use Python interface.
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Deploy LangChain Agents and connect them to Telegram.
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Proof-of-concept OpenAI Gym environment for Neural Architecture Search (NAS).
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Ncnn is a high-performance neural network inference framework optimized for the mobile platform.
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Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
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Easy-to-use library to boost AI inference.
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Neural networks framework in pure C: training and inference, no dependencies.