TensorFlow Lite Insights

What is TensorFlow Lite?

TensorFlow Lite is an open-source deep learning framework for on-device inference. It enables machine learning models to run on mobile, embedded, and IoT devices, offering low latency and privacy benefits by performing computations locally rather than on a remote server. It is commonly used for applications like image recognition, object detection, natural language processing, and pose estimation directly on devices such as smartphones, microcontrollers, and edge computing devices.

Find organizations using TensorFlow Lite on Sumble →

What other technologies are related to TensorFlow Lite?

TensorFlow Lite Competitor Technologies

PyTorch Mobile

PyTorch Mobile is a direct competitor as it provides an alternative framework for deploying machine learning models on mobile and edge devices.

mentioned alongside TensorFlow Lite in 82% (82) of relevant job posts

Core ML

Core ML is Apple's machine learning framework for deploying models on Apple devices, making it a competitor for mobile and edge deployment scenarios.

mentioned alongside TensorFlow Lite in 14% (62) of relevant job posts

TVM

Apache TVM is a compiler framework for machine learning systems. It is a competitor as it optimizes and deploys models onto various hardware targets, including mobile and edge devices.

mentioned alongside TensorFlow Lite in 3% (54) of relevant job posts

TensorFlow Lite Complementary Technologies

ONNX

ONNX (Open Neural Network Exchange) is a standard format for representing machine learning models. TensorFlow Lite supports converting ONNX models, making it a complementary technology for interoperability.

mentioned alongside TensorFlow Lite in 4% (196) of relevant job posts

TensorFlow

TensorFlow is the parent framework of TensorFlow Lite. Models are often trained in TensorFlow and then converted to TensorFlow Lite for deployment, hence complementary.

mentioned alongside TensorFlow Lite in 0% (437) of relevant job posts

OpenCV

OpenCV is a library for computer vision tasks. It can be used for pre-processing and post-processing of data in conjunction with TensorFlow Lite models, making it complementary.

mentioned alongside TensorFlow Lite in 1% (125) of relevant job posts