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An open-source cross-platform performance library for deep learning applications.
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OneFlow is a performance-centered and open-source deep learning framework.
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Compiler technology to transform a valid Open Neural Network Exchange (ONNX) graph into code that implements the graph with minimum runtime support.
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An ONNX (Open Neural Network eXchange) API and backend for typeful, functional deep learning in Scala (3).
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A library that enables training PyTorch models with differential privacy.
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A list of open LLMs available for commercial use.
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Grok - An LLM by xAI with and open weights. opensource.
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Source code and experiments results for TGS Salt Identification Challenge.
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Source code and experiments results for Airbus Ship Detection Challenge.
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Source code for Toxic Comment Classification Challenge.
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Source code and experiments results for Santander Value Prediction Challenge.
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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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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.
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OpenAI's point cloud diffusion for 3D model synthesis.
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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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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Open platform for operating large language models (LLMs) in production. Fine-tune, serve, deploy, and monitor any LLMs with ease.
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A PyTorch-based framework to train and validate the models producing high-quality embeddings.
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A real-time multi-person keypoint detection library for body, face, hands, and foot estimation.
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Continue - Open-source AI code assistant. Connect any model and any context to create custom autocomplete and chat experiences inside the IDE.
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Model Context Protocol - An open standard for connecting AI models to external tools and data sources. MCP Registry.