Infrastructure to enable deployment of ML models to low-power resource-constrained embedded targets (including microcontrollers and digital signal processors).
:zap: TensorFlowASR: Almost State-of-the-art Automatic Speech Recognition in Tensorflow 2. Supported languages that can use characters or subwords
A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.
π Accelerate inference and training of π€ Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization tools
Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX
An Android app to scan your documents β simple and respectful
TensorFlow Lite Micro for Espressif Chipsets
Official Ultralytics YOLO Flutter plugin for real-time inference on Android and iOS across major vision tasks.
A tiny neural-network framework in pure Go with AVX2 SIMD kernels (GOEXPERIMENT=simd)
Give Vercel AI SDK agents a real persistent filesystem with Amazon S3 Files.
Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.