Best open-source contributions tools in 2025
Efficient tensor library for machine learning on everyday devices.
Manage and deploy AI models seamlessly across environments.
Evaluate and optimize AI applications for high performance.
Efficient inference engine for C and C++ language models.
Efficient engine for serving large language models with speed.
Automates and accelerates AI workflows for effective resource management.
Image augmentation library for enhancing datasets in deep learning.
Deploy AI applications effortlessly on a global network.
A managed environment for developing generative AI applications.
Customizable 3D research environment for AI experiments.
A research community focused on AI safety and governance.
Unified access point for comparing AI language models.
Lightweight framework for efficient AI model deployment on edge devices.