Topic: tensorflow-lite Goto Github
Some thing interesting about tensorflow-lite
Some thing interesting about tensorflow-lite
tensorflow-lite,benchmark for embededded-ai deep learning inference engines, such as NCNN / TNN / MNN / TensorFlow Lite etc.
Organization: ai-performance
Home Page: https://www.ai-performance.com
tensorflow-lite,Pytorch to Keras/Tensorflow conversion made intuitive
User: alexanderlutsenko
tensorflow-lite,TensorFlow Lite Flutter Helper Library
User: am15h
Home Page: https://pub.dev/packages/tflite_flutter_helper
tensorflow-lite,Android TensorFlow Lite Machine Learning Example
User: amitshekhariitbhu
Home Page: https://amitshekhar.me
tensorflow-lite,Indian Currency detector using Deeplearning Image classification using transfer Learning Resenet50 model- 10 , 100 and 500.
User: androidarena
tensorflow-lite,Real-time portrait segmentation for mobile devices
User: anilsathyan7
tensorflow-lite, Android On_device 1:1 Face Recognition And Alive Detect;1:N & M:N Face Search SDK 。 🧒 离线版设备端Android1:1人脸识别动作活体检测,静默活体检测 以及1:N M:N 人脸搜索 SDK 封装
User: anylifezlb
tensorflow-lite,TensorFlow Lite Samples on Unity
User: asus4
tensorflow-lite,DELTA is a deep learning based natural language and speech processing platform.
Organization: delta-ml
Home Page: https://delta-didi.readthedocs.io/
tensorflow-lite,State-of-the-art (ranked #1 Aug 2022) German Speech Recognition in 284 lines of C++. This is a 100% private 100% offline 100% free CLI tool.
Organization: deutscheki
tensorflow-lite,🔥🔥🔥色情图片离线识别,基于TensorFlow实现。识别只需20ms,可断网测试,成功率99%,调用只要一行代码,从雅虎的开源项目open_nsfw移植,该模型文件可用于iOS、java、C++等平台
User: devzwy
tensorflow-lite,Emgu TF is a cross platform .Net wrapper for the Google Tensorflow library. Allows Tensorflow functions to be called from .NET compatible languages such as C#, VB, VC++, IronPython.
User: emgucv
Home Page: https://www.emgu.com/wiki/index.php/Emgu_TF
tensorflow-lite,Community gathering point for Google Coral dev board and dongle knowledge.
Organization: f0cal
tensorflow-lite,Faking your webcam background under GNU/Linux, now supports background blurring, animated background, colour map effect, hologram effect and on-demand processing.
User: fangfufu
tensorflow-lite,Convolutional Recurrent Neural Network(CRNN) for End-to-End Text Recognition - TensorFlow 2
User: flming
tensorflow-lite,No PR will be accepted for now, but feel free to submit issue, very appreciated.
Organization: hpmicro
Home Page: https://hpm-sdk.readthedocs.io/
tensorflow-lite,DistilBERT / GPT-2 for on-device inference thanks to TensorFlow Lite with Android demo apps
Organization: huggingface
tensorflow-lite,Sample projects for TensorFlow Lite in C++ with delegates such as GPU, EdgeTPU, XNNPACK, NNAPI
User: iwatake2222
tensorflow-lite,A workout trainer Dash/Flask app that helps track your HIIT workouts by analyzing real-time video streaming from your sweet Pi using machine learning and Edge TPU..
User: jingw222
tensorflow-lite,物体検出を用いてNARUTOの印(子~亥、壬、合掌)を検出するモデルとサンプルプログラムです。このリポジトリでは、YOLOXを使用しています(This is a model and sample program that detects NARUTO's hand sign using object detection. This repository use YOLOX.)
User: kazuhito00
tensorflow-lite,Visualizer for neural network, deep learning and machine learning models
User: lutzroeder
Home Page: https://netron.app
tensorflow-lite,Dual Edge TPU Adapter to use it on a system with single PCIe port on m.2 A/B/E/M slot
User: magic-blue-smoke
tensorflow-lite,An awesome list of TensorFlow Lite models, samples, tutorials, tools and learning resources.
User: margaretmz
tensorflow-lite,How to create a Cartoonizer Android app with TensorFlow Lite models.
User: margaretmz
tensorflow-lite,Go binding for TensorFlow Lite
User: mattn
tensorflow-lite,Project tracking of the "Mobile ML Working Group", for the End-to-End TensorFlow Lite tutorials.
Organization: ml-gde
tensorflow-lite,🔥 High-performance TensorFlow Lite library for React Native with GPU acceleration
User: mrousavy
Home Page: https://mrousavy.com
tensorflow-lite,The easiest way to count pedestrians, cyclists, and vehicles on edge computing devices or live video feeds.
User: nathanrooy
tensorflow-lite,High performance, cross-platform machine learning for Unity Engine. Register at https://hub.natml.ai
Organization: natmlx
Home Page: https://docs.natml.ai/unity
tensorflow-lite,MNIST with TensorFlow Lite on Android
User: nex3z
tensorflow-lite,NNtrainer is Software Framework for Training Neural Network Models on Devices.
Organization: nnstreamer
tensorflow-lite,TensorFlow Lite, Coral Edge TPU samples (Python/C++, Raspberry Pi/Windows/Linux).
User: nobuotsukamoto
tensorflow-lite, OpenVisionAPI server
Organization: openvisionapi
Home Page: https://openvisionapi.com
tensorflow-lite,Face and iris detection for Python based on MediaPipe
User: patlevin
tensorflow-lite,YOLOv3: convert .weights to .tflite format for tensorflow lite. Convert .weights to .pb format for tensorflow serving
User: peace195
tensorflow-lite,Tensorflow based Fast Pose estimation. OpenVINO, Tensorflow Lite, NCS, NCS2 + Python.
User: pinto0309
Home Page: https://qiita.com/PINTO
tensorflow-lite,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.
User: pinto0309
tensorflow-lite,This script converts the ONNX/OpenVINO IR model to Tensorflow's saved_model, tflite, h5, tfjs, tftrt(TensorRT), CoreML, EdgeTPU, ONNX and pb. PyTorch (NCHW) -> ONNX (NCHW) -> OpenVINO (NCHW) -> openvino2tensorflow -> Tensorflow/Keras (NHWC/NCHW) -> TFLite (NHWC/NCHW). And the conversion from .pb to saved_model and from saved_model to .pb and from .pb to .tflite and saved_model to .tflite and saved_model to onnx. Support for building environments with Docker. It is possible to directly access the host PC GUI and the camera to verify the operation. NVIDIA GPU (dGPU) support. Intel iHD GPU (iGPU) support.
User: pinto0309
tensorflow-lite,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.
User: pinto0309
Home Page: https://qiita.com/PINTO
tensorflow-lite,Generate saved_model, tfjs, tf-trt, EdgeTPU, CoreML, quantized tflite, ONNX, OpenVINO, Myriad Inference Engine blob and .pb from .tflite. Support for building environments with Docker. It is possible to directly access the host PC GUI and the camera to verify the operation. NVIDIA GPU (dGPU) support. Intel iHD GPU (iGPU) support. Supports inverse quantization of INT8 quantization model.
User: pinto0309
Home Page: https://qiita.com/PINTO
tensorflow-lite,Raspberry Pi 4 Buster 64-bit OS with deep learning examples
User: qengineering
Home Page: https://qengineering.eu/deep-learning-examples-on-raspberry-32-64-os.html
tensorflow-lite,The Qualcomm® AI Hub Models are a collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.) and ready to deploy on Qualcomm® devices.
Organization: quic
Home Page: https://aihub.qualcomm.com
tensorflow-lite,Realtime face recognition with Flutter
User: rajatkalsotra
tensorflow-lite,This repository contains notebooks that show the usage of TensorFlow Lite for quantizing deep neural networks.
User: sayakpaul
tensorflow-lite,Real-time semantic image segmentation on mobile devices
User: sercant
tensorflow-lite,GPU Accelerated TensorFlow Lite applications on Android NDK. Higher accuracy face detection, Age and gender estimation, Human pose estimation, Artistic style transfer
User: terryky
tensorflow-lite,GPU accelerated deep learning inference applications for RaspberryPi / JetsonNano / Linux PC using TensorflowLite GPUDelegate / TensorRT
User: terryky
tensorflow-lite,The challenge projects for Inferencing machine learning models on iOS
User: tucan9389
tensorflow-lite,The baseline project for inferencing various Pose Estimation tflite models with TFLiteSwift on iOS
User: tucan9389
Home Page: https://github.com/motlabs/awesome-ml-demos-with-ios
tensorflow-lite, :dancer: Pose estimation for iOS and android using TensorFlow 2.0
User: tucan9389
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