Deep learning framework written in Kotlin.
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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.
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.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Modern columnar data format for ML implemented in Rust.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Lightweight library to build and train neural networks in Theano.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Energy-based machine learning models built upon PyTorch.
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.
A generic approach that allows to mimic most factorization models by feature engineering.
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.
Lifelines is a complete survival analysis library, written in pure Python.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.