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Jupyter notebook is a web-based notebook environment for interactive computing.
Notebook with examples of using Jupyter Widgets in Colab, allowing interactive inputs.
A collection of pre-trained StyleGAN 2 models to download.
Code for the Kaggle acquire valued shoppers challenge.
Winning solution for the Galaxy Challenge on Kaggle.
A JavaScript Native PyTorch-aligned Machine Learning Framework, built from scratch on WebGPU.
An unsupervised machine learning extension library for NetworkX with a Scikit-Learn like API.
Version control for machine learning with support to Amazon S3 and Google Cloud Storage.
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.
Kubernetes custom resource definition for serving ML models on arbitrary frameworks.
A library of statistical distribution sampling and transducing functions.
Koç University Deep Learning Framework.
Just a simple implementation of K-Nearest Neighbors algorithm using with a bunch of similarity measures.
Capture your ideas, connect them, and grow them into something you can actually use. AI that works alongside your thinking, not instead of it.
Deep learning framework written in Kotlin.
ChatGPT, Claude, Gemini and 350+ AI models in one all-in-one AI workspace. Images, video, audio, code — one subscription, no juggling.
Deploy and scale machine learning models on Kubernetes. Built for LLMs, embeddings, and speech-to-text.
Machine Learning Toolkit for Kubernetes.
Machine Learning Pipelines for Kubeflow.
A weekly news and interview show with insight from the Kubernetes community.
Build, packaging, and run system for ephemeral multi-container environments.