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Models and examples built with TensorFlow
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
The open source developer platform to build AI/LLM applications and models with confidence. Enhance your AI applications with end-to-end tracking, observability, and evaluations, all in one integra…
A Keras implementation of YOLOv3 (Tensorflow backend)
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.
Convert Sketch files into React Native components
TFX is an end-to-end platform for deploying production ML pipelines
Useful extra functionality for TensorFlow 2.x maintained by SIG-addons
General code to convert a trained keras model into an inference tensorflow model
A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.
This page is for the SlimYOLOv3: Narrower, Faster and Better for UAV Real-Time Applications
Implementation of YOLO v3 object detector in Tensorflow (TF-Slim)
The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and TensorFlow code in a local environment to distributed training in the cloud.
AIO Stratum mining server for various coins
The labels for object categories in COCO dataset