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An unsupervised machine learning extension library for NetworkX with a Scikit-Learn like API.
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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.
github.com
Run Keras models in the browser, with GPU support provided by WebGL 2.
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Easy-to-use, scalable hyperparameter optimization framework.
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A series of open-source MoE language models by Moonshot AI for agentic tasks. opensource.
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A library of statistical distribution sampling and transducing functions.
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Koç University Deep Learning Framework.
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Just a simple implementation of K-Nearest Neighbors algorithm using with a bunch of similarity measures.
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A Natural Language Processor in JS.
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Deep learning framework written in Kotlin.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Deploy and scale machine learning models on Kubernetes. Built for LLMs, embeddings, and speech-to-text.
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Machine Learning Toolkit for Kubernetes.
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Machine Learning Pipelines for Kubeflow.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Build, packaging, and run system for ephemeral multi-container environments.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
LabNotebook is a tool that allows you to flexibly monitor, record, save, and query all your machine learning experiments.
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A lightweight framework for building LLM-based agents.
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Simple, concise implementations of machine learning techniques and utilities in Clojure.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Modern columnar data format for ML implemented in Rust.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.