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Open-source module for running AI workloads on Kubernetes in an optimized way.
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Reference implementations of ML models written in numpy.
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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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React Native app for running LLMs, vision models, and Stable Diffusion on-device on iOS and Android without internet access. opensource.
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A general statistics and machine learning library.
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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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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 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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Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.
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A real-time multi-person keypoint detection library for body, face, hands, and foot estimation.
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Model Context Protocol - An open standard for connecting AI models to external tools and data sources. MCP Registry.
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Gitingest - Turn any Git repository into a simple text digest of its codebase so it can be fed into any LLM.
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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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An optimization library for Torch. SGD, Adagrad, Conjugate-Gradient, LBFGS, RProp and more.
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Python-based meta-heuristic optimization techniques.
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Docker for Your ML/DL Models Based on OCI Artifacts.