Version control for machine learning with support to Amazon S3 and Google Cloud Storage.
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A beginner-friendly guide on using Keras to implement a simple Neural Network in Python.
A python package that integrates an LLM copilot inside the keras model development workflow.
Run Keras models in the browser, with GPU support provided by WebGL 2.
Easy-to-use, scalable hyperparameter optimization framework.
Kernel density estimators for Julia.
Respan unifies LLM observability, evals, prompt optimization, and an AI gateway so teams can ship reliable AI applications.
Kubernetes custom resource definition for serving ML models on arbitrary frameworks.
AI assistant focused on chat, long-context reading, writing, summarization, and research tasks.
AI assistant focused on chat, long-context reading, writing, summarization, and research tasks.
A series of open-source MoE language models by Moonshot AI for agentic tasks. opensource.
Simple API for Neural Network. Better for image processing with CPU/GPU + Transfer Learning.
A library of statistical distribution sampling and transducing functions.
JavaScript implementation of the k nearest neighbors algorithm for supervised learning.
Koç University Deep Learning Framework.
Just a simple implementation of K-Nearest Neighbors algorithm using with a bunch of similarity measures.
A Natural Language Processor in JS.
Kokoro-82M supports machine learning models, deployment, inspection, datasets, or AI development workflows.
Capture your ideas, connect them, and grow them into something you can actually use. AI that works alongside your thinking, not instead of it.
A Python package for Korean natural language processing.
Deep learning framework written in Kotlin.
Machine Learning Toolkit for Kubernetes.
Machine Learning Pipelines for Kubeflow.
A weekly news and interview show with insight from the Kubernetes community.