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A series of open-source MoE language models by Moonshot AI for agentic tasks. opensource.
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Simple API for Neural Network. Better for image processing with CPU/GPU + Transfer Learning.
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Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
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Kite Public is an interface or open-source utility for browsing and organizing news feeds or discussions.
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Open source MLOps project that eases model handoffs between data scientist and DevOps.
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A library of statistical distribution sampling and transducing functions.
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JavaScript implementation of the k nearest neighbors algorithm for supervised learning.
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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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Knowledge sharing platform for data scientists and other technical professions.
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Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
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A Natural Language Processor in JS.
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Pandas API on Apache Spark. Makes data scientists more productive when interacting with big data.
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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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Standardized Serverless ML Inference Platform on Kubernetes.
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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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😎 Awesome list of tools and project with the awesome LangChain framework.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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LabNotebook is a tool that allows you to flexibly monitor, record, save, and query all your machine learning experiments.