Popular GitHub Repositories for Tflite Convertion

YOLOv5 ? in PyTorch > ONNX > CoreML > TFLite

:stuck_out_tongue_closed_eyes: TensorFlowTTS: Real-Time State-of-the-art Speech Synthesis for Tensorflow 2 (supported including English, French, Korean, Chinese, German and Easy to adapt for other languages)

? 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.

An awesome list of TensorFlow Lite models, samples, tutorials, tools and learning resources.

? High-performance TensorFlow Lite library for React Native with GPU acceleration

:zap: TensorFlowASR: Almost State-of-the-art Automatic Speech Recognition in Tensorflow 2. Supported languages that can use characters or subwords

Self-Created Tools to convert ONNX files (NCHW) to TensorFlow/TFLite/Keras format (NHWC). The purpose of this tool is to solve the massive Transpose extrapolation problem in onnx-tensorflow (onnx-tf). I don't need a Star, but give me a pull request.

Android TensorFlow Lite Machine Learning Example

Virtual Video Device for Background Replacement with Deep Semantic Segmentation

Export Hugging Face models to Core ML and TensorFlow Lite

Creating a software for automatic monitoring in online proctoring

A Wide Range of Custom Functions for YOLOv4, YOLOv4-tiny, YOLOv3, and YOLOv3-tiny Implemented in TensorFlow, TFLite, and TensorRT.

Offline Speech Recognition with OpenAI Whisper and TensorFlow Lite for Android

Tool for onnx->keras or onnx->tflite. Hope this tool can help you.

Want a faster ML processor? Do it yourself! -- A framework for playing with custom opcodes to accelerate TensorFlow Lite for Microcontrollers (TFLM). . . . . . Online tutorial: https://google.github.io/CFU-Playground/ For reference docs, see the link below.

YOLO Magic? is an extension based on Ultralytics' YOLOv5, designed to provide more powerful functionality and simpler operations for visual tasks.