Showing 5 of 5 projects
A simple, flexible, and performant workload orchestrator for deploying containers, VMs, and legacy applications across on-prem and cloud infrastructure.
A modular deep learning library providing a higher-level API for TensorFlow to speed up experimentation.
A tool to convert container images into unprivileged sandboxes, optimized for high-performance and virtualized environments.
A Clojure library for dynamic neural network graphs with pluggable tensor backends, inspired by PyTorch.
Catkin-friendly C++ bindings for TensorFlow, enabling easy integration of TensorFlow C++ API into ROS projects.
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