Auto-Keras
I. Introduction II. Project Background III. Features & Functionality IV. Benefits V. Use Cases VI.
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AutoGluon
I. Introduction Product Name: AutoGluon Brief Description: AutoGluon is an open-source AutoML library for automating
Seldon Core
Seldon Core is a powerful open-source MLOps platform designed to help users easily deploy and scale Machine Learning models on a massive scale
ONNX Runtime
ONNX Runtime (ORT) is a comprehensive open-source ecosystem that accelerates the performance of Machine Learning (ML) models.
MLflow
MLflow is an open-source machine learning lifecycle platform that manages the end-to-end process of testing and deploying models.
Kubeflow
Kubeflow is a workflow engine that simplifies the deployment, management, and scaling of Machine Learning workloads by providing a platform that integrates with K8s.
JAX
JAX was developed to accelerate Machine Learning codes by making NumPy run faster and more efficiently.
Argo Workflows
Workflow systems allow developers to define, execute, and manage workflows using containerized applications and orchestration systems such as Kubernetes. Workflow systems use scheduling algorithms to define the order in which tasks are performed.
Apache Airflow
I. Introduction Product Name: Apache Airflow Brief Description: Apache Airflow is an open-source platform to
Apache Flink
I. Introduction Product Name: Apache Flink Brief Description: Apache Flink is a distributed, open-source stream
Activeloop
I. Introduction Product Name: Activeloop Brief Description: Activeloop is a high-performance database designed specifically for
XLM
I. Introduction XLM, standing for “Cross-lingual Language Model,” is a powerful pre-trained transformer-based model developed