tensorflow-lite

There are 23 repositories under tensorflow-lite topic.

• netron

  lutzroeder / netron

  Visualizer for neural network, deep learning and machine learning models

  aicaffecoremldarknetdeep-learningdeeplearningkerasmachine-learningmachinelearningmlneural-networkonnxpaddlepytorchtensorflowtensorflow-litevisualizer
  Language:JavaScript 26322
• PINTO_model_zoo

  PINTO0309 / PINTO_model_zoo

  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.

  tensorflowtensorflow-liteopenvinoedgetpumediapipecoremltensorflowjstf-trtonnxpytorchtflitetfjsmodel-zoomodelskerascomputer-visioncaffepretrained-modelsmodeltflite-models
  Language:Python 3321

• devzwy / open_nsfw_android

  🔥🔥🔥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

  nsfwnsfw-androidtensorflowlitetensorflow-litetensorflow-lite-nsfwtensorflowphotographs-to-discern-yellowyellow-chartpornographypicture-recognitionpicture-recognition-sdkphoto-recognition-sdkphoto-recognitionphoto-identificationtensorflow-androidtensorflow-examplestensorflow-modelstensorflow-gpunsfw-filter
  Language:Java 1864

• Delta-ML / delta

  DELTA is a deep learning based natural language and speech processing platform.

  nlpdeep-learningtensorflowspeechsequence-to-sequenceseq2seqspeech-recognitiontext-classificationspeaker-verificationnlutext-generationemotion-recognitiontensorflow-servingtensorflow-liteinferenceasrservingfront-endcustom-opsops
  Language:Python 1585

• fangfufu / Linux-Fake-Background-Webcam

  Faking your webcam background under GNU/Linux, now supports background blurring, animated background, colour map effect, hologram effect and on-demand processing.

  mediapipetensorflow-liteopencv-pythonwebcam-backgroundv4l2loopbackwebcamakvcam
  Language:Python 1569

• tucan9389 / awesome-ml-demos-with-ios

  The challenge projects for Inferencing machine learning models on iOS

  iosmachine-learningcoremlmlkittensorflowtensorflow-litedemoawesomeinference
  Language:Python 1170

• margaretmz / awesome-tensorflow-lite

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

  awesome-listtflitetensorflow-litetflite-modelstensorflowtensorflow-modelstfhubtensorflow-keraskeras-tutorialssample-appmodel-zoomediapipemlkitmobileandroidiosflutterdeep-learningcomputer-visionawesome
  1127

• asus4 / tf-lite-unity-sample

  TensorFlow Lite Samples on Unity

  unitytensorflow-litemachine-learningmediapipe
  Language:C# 818

• amitshekhariitbhu / Android-TensorFlow-Lite-Example

  Android TensorFlow Lite Machine Learning Example

  tensorflowtensorflow-tutorialsmachine-learningtensorflow-litetensorflow-examplesdeep-learningdeep-neural-networksandroid-examplemachine-learning-algorithmstflite
  Language:Java 741

• anilsathyan7 / Portrait-Segmentation

  Real-time portrait segmentation for mobile devices

  portrait-segmentationkerastensorflowandroiddeeplearningtensorflow-liteportrait-mattingmobilenetv2unet-image-segmentationtensorflowjscolor-harmonizationopencv-dnncoral-tpudeeplabjetson-tx2int8-inferencegpu-delegateedge-aideepstreammediapipe
  Language:Jupyter Notebook 630
• onnx2tf

  PINTO0309 / onnx2tf

  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.

  deep-learningmachine-learningmodel-convertermodelsonnxtensorflowtensorflow-litetflitedockeronnx-tensorflowyolov7tfjsandroidquantizationkerastransformercoremllstm
  Language:Python 570

• mrousavy / react-native-fast-tflite

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

  aiarraybuffercameradetectionfacial-recognitionfastmlnativeobject-detectionreactreact-nativetensorflowtensorflow-litetflitehacktoberfest
  Language:C 550

• terryky / tflite_gles_app

  GPU accelerated deep learning inference applications for RaspberryPi / JetsonNano / Linux PC using TensorflowLite GPUDelegate / TensorRT

  tensorflowtensorflow-liteopenglesopengl-estflitefacemeshhandposetensorrtraspberry-pijetson-nano
  Language:C 488

• DeutscheKI / tevr-asr-tool

  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.

  c-plus-pluscommand-line-toolspeechspeech-recognitionkenlmno-cloudofflineprivatespeech-to-texttensorflow-litewavedeep-learninglanguage-modelmachine-learningpretrained-modelstensorflowdebiandebian-packageasrgerman-speech-recognition
  Language:C 405

• huggingface / tflite-android-transformers

  DistilBERT / GPT-2 for on-device inference thanks to TensorFlow Lite with Android demo apps

  tensorflowtensorflow-liteandroidnlptransformers
  Language:Java 377

• iwatake2222 / play_with_tflite

  Sample projects for TensorFlow Lite in C++ with delegates such as GPU, EdgeTPU, XNNPACK, NNAPI

  tensorflowtensorflow-litecppopencvedgetpudeep-learning
  Language:C++ 343
• openvino2tensorflow

  PINTO0309 / openvino2tensorflow

  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.

  openvinotensorflowpytorchonnxtensorflow-litekerascoremltf-trttensorrtedgetpucaffemxnettflitetfjstensorflowjsconvertermodels-converterdocker
  Language:Python 331

• mattn / go-tflite

  Go binding for TensorFlow Lite

  gogolangtensorflow-litedeep-learningtflite
  Language:Jupyter Notebook 288

• AnyLifeZLB / FaceVerificationSDK

  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

  alive-checkalive-detectionface-detectionface-recognitiontensorflow-liteface-verifyface-searchface-verificationandroidsdk
  Language:Kotlin 280
• tflite2tensorflow

  PINTO0309 / tflite2tensorflow

  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.

  tflitetensorflowtensorflow-liteconvertermodels-convertercoremltf-trttfjstensorflowjsedgetpumodels-convertensorflow-modelsmediapipeonnxopenvinodepthaitensorrtdocker
  Language:Python 255

• magic-blue-smoke / Dual-Edge-TPU-Adapter

  Dual Edge TPU Adapter to use it on a system with single PCIe port on m.2 A/B/E/M slot

  coral-tpuedge-aitpu-accelerationtpu-benchmarkstpupcie-cardpcie-interfacem2-modulem2coraledge-tputensorflow-liteedgetpuhome-assistant
  249

• quic / ai-hub-models

  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.

  deeplearningdemosinferenceinference-apiinference-enginemachine-learningmachinelearningonnxpytorchqnntensorflow-lite
  Language:Python 232

• Kazuhito00 / NARUTO-HandSignDetection

  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.)

  tensorflow2object-detectionopencvhandsignnarutoefficientdetmobilenetv2-ssddeep-learningdeep-neural-networkstensorflow-litenaruto-handsigndetection
  Language:Python 228

• nex3z / tflite-mnist-android

  MNIST with TensorFlow Lite on Android

  tensorflowtensorflow-litemnistandroid
  Language:Kotlin 225

• natmlx / natml-unity

  High performance, cross-platform machine learning for Unity Engine. Register at https://hub.natml.ai

  machine-learningdeeo-learningunitycomputer-visionnatural-language-processingaugmented-realityvirtual-realitytensorflowpytorchnatmlandroidiosmacosmediapipetensorflow-litewebglwindowswebassemblycoremlwebassemby
  Language:C# 220

• emgucv / emgutf

  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.

  dotnetemgumachine-learningnative-bindingstensorflowtensorflow-lite
  Language:C# 211

• AI-performance / embedded-ai.bench

  benchmark for embededded-ai deep learning inference engines, such as NCNN / TNN / MNN / TensorFlow Lite etc.

  inferencedeep-learning-frameworkncnnmnntnnarmarm-neondeep-learning-inferenceembedded-aiandroidiostensorflow-liteartificial-intelligencebenchmark
  Language:Python 201
• nobuco

  AlexanderLutsenko / nobuco

  Pytorch to Keras/Tensorflow conversion made intuitive

  converterkeraspytorchtensorflowconversiondeep-learningmachine-learningmodel-conversionmodel-convertertensorflow-jstensorflow-litetfjstflite
  Language:Python 196
• hiitpi

  jingw222 / hiitpi

  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..

  machine-learningtensorflow-liteedge-tpuraspberry-pidashplotlyflaskopencv
  Language:Python 168

• sayakpaul / Adventures-in-TensorFlow-Lite

  This repository contains notebooks that show the usage of TensorFlow Lite for quantizing deep neural networks.

  tensorflow-2tensorflow-liteon-device-mlmodel-quantizationpost-training-quantizationquantization-aware-trainingpruningmodel-optimizationtf-lite-modelinferencetf-hub
  Language:Jupyter Notebook 168

• tucan9389 / tf2-mobile-2d-single-pose-estimation

  :dancer: Pose estimation for iOS and android using TensorFlow 2.0

  tensorflow2pose-estimationmobileiostensorflow-lite
  Language:Python 167

• am15h / tflite_flutter_helper

  TensorFlow Lite Flutter Helper Library

  fluttertensorflowtensorflow-lite
  Language:Dart 155

• Rajatkalsotra / Face-Recognition-Flutter

  Realtime face recognition with Flutter

  flutterface-recognition-flutterrealtime-face-recognitiontensorflow-liteandroid
  Language:Dart 155

• FLming / CRNN.tf2

  Convolutional Recurrent Neural Network(CRNN) for End-to-End Text Recognition - TensorFlow 2

  crnnocrscene-text-recognitiontensorflow2kerasctctf2tensorflow-lite
  Language:Python 149

• tucan9389 / PoseEstimation-TFLiteSwift

  The baseline project for inferencing various Pose Estimation tflite models with TFLiteSwift on iOS

  tensorflowiostensorflow-liteopenposeposenetsimpleposecpmhourglassmobilenetv23d-pose-estimationon-devicepose-matchingtflite
  Language:Swift 146

• terryky / android_tflite

  GPU Accelerated TensorFlow Lite applications on Android NDK. Higher accuracy face detection, Age and gender estimation, Human pose estimation, Artistic style transfer

  android-ndktflitetensorflow-liteopenglesobject-detectionpose-estimationsegmentationstyle-transfer
  Language:C++ 137