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End-to-end tutorials on how to create TensorFlow Lite (TFLite) models!
YOLOv5 ? in PyTorch > ONNX > CoreML > TFLite
Visualizer for neural network, deep learning and machine learning models
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.
? Accelerate inference and training of ? Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization tools
Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX
???YOLOv5-Lite: Evolved from yolov5 and the size of model is only 900+kb (int8) and 1.7M (fp16). Reach 15 FPS on the Raspberry Pi 4B~
YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite
Use AnimeGANv3 to make your own animation works, including turning photos or videos into anime.
Faking your webcam background under GNU/Linux, now supports background blurring, animated background, colour map effect, hologram effect and on-demand processing.
The challenge projects for Inferencing machine learning models on iOS