A JavaScript Native PyTorch-aligned Machine Learning Framework, built from scratch on WebGPU.
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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.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Run Keras models in the browser, with GPU support provided by WebGL 2.
Easy-to-use, scalable hyperparameter optimization framework.
A series of open-source MoE language models by Moonshot AI for agentic tasks. opensource.
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.
A Natural Language Processor in JS.
Deep learning framework written in Kotlin.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Build, packaging, and run system for ephemeral multi-container environments.
Kuwala is the no-code data platform for BI analysts and engineers enabling you to build powerful analytics workflows. We are set out to bring state-of-the-art data engineering tools you love, such as Airbyte, dbt, or Great Expectations together in one intuitive interface built with React Flow. In addition we provide third-party data into data science models and products with a focus on geospatial data. Currently, the following data connectors are available worldwide: a) High-resolution demograph
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
LabNotebook is a tool that allows you to flexibly monitor, record, save, and query all your machine learning experiments.
A lightweight framework for building LLM-based agents.
Simple, concise implementations of machine learning techniques and utilities in Clojure.