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Source code for Toxic Comment Classification Challenge.
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Source code and experiments results for Airbus Ship Detection Challenge.
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Source code and experiments results for TGS Salt Identification Challenge.
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Grok - An LLM by xAI with and open weights. opensource.
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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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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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Fujitsu Research's post-training quantization pipeline for LLMs (QEP, AutoBit, JointQ, rotation) with vLLM plugin (arXiv:2603.28845).
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Free open-source SPSS alternative — menu-driven desktop statistics (t-tests, ANOVA, regression, survival analysis, ROC) with SPSS.sav import/export.
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A completely unstable and experimental package that extends Torch's builtin nn library.
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A Julia package for non-negative matrix factorization.
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An NLP library built in node over Natural, with entity extraction, sentiment analysis, automatic language identify, and so more.
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Semantic search and workflows powered by language models.
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Llama3 implementation one matrix multiplication at a time.
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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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Global, black box optimization engine for real world metric optimization by Yelp.
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ModelFox is a platform for managing and deploying machine learning models.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Visual testing tool for MCP servers.
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A library consisting of useful tools for data science and machine learning tasks.
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MLX is an array framework for machine learning on Apple silicon, developed by Apple machine learning research.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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A Julia package for fitting (statistical) mixed-effects models.
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C, C++, and Python tools for named entity recognition and relation extraction.