YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
🔥🔥🔥AidLearning is a powerful AIOT development platform, AidLearning builds a linux env supporting GUI, deep learning and visual IDE on Android...Now Aid supports CPU+GPU+NPU for inference with high performance acceleration...Linux on Android or HarmonyOS
😝 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)
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.
An awesome list of TensorFlow Lite models, samples, tutorials, tools and learning resources.
⚡ TensorFlowASR: Almost State-of-the-art Automatic Speech Recognition in Tensorflow 2. Supported languages that can use characters or subwords
虚拟爱抖露(アイドル)共享计划, 是基于单目RGB摄像头的人眼与人脸特征点检测算法, 在实时3D面部捕捉以及模型驱动领域的应用.
🔥 High-performance TensorFlow Lite library for React Native with GPU acceleration
Android TensorFlow Lite Machine Learning Example
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.
Export Hugging Face models to Core ML and TensorFlow Lite
A Wide Range of Custom Functions for YOLOv4, YOLOv4-tiny, YOLOv3, and YOLOv3-tiny Implemented in TensorFlow, TFLite, and TensorRT.
Creating a software for automatic monitoring in online proctoring
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