Top 31 tflite open source projects

😝 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)

YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

🔥🔥AidLearning is a powerful mobile development platform, AidLearning builds a linux env supporting GUI, deep learning and visual IDE on Android...Now Aid supports OpenCL (GPU+NPU) for high performance acceleration...Linux on Android or HarmonyOS

Custom object detection with the TFLite Model Maker

📌This repo contains the kotlin implementation of TensorflowLite Example Android Apps🚀

离线端阅读理解应用 QA for mobile, Android & iPhone

This is th code to FAT method with links to quantized tflite models. (CC BY-NC-ND)

Python TFLite scripts for detecting objects of any class in an image without knowing their label.

Light-SERNet: A lightweight fully convolutional neural network for speech emotion recognition

How to create Selfie2Anime from tflite model to Android.

End to end training MNIST image classifier with tf.Keras, convert to TFLite and deploy to Android

🍅🍅🍅YOLOv5-Lite: lighter, faster and easier to deploy. Evolved from yolov5 and the size of model is only 930+kb (int8) and 1.7M (fp16). It can reach 10+ FPS on the Raspberry Pi 4B when the input size is 320×320~

quick and dirty benchmark for TFLite gles delegate on iOS

Sensifai image and video enhancement module on mobiles

Multiple types of NN model optimization environments. It is possible to directly access the host PC GUI and the camera to verify the operation. Intel iHD GPU (iGPU) support. NVIDIA GPU (dGPU) support.

quick and dirty inference time benchmark for TFLite gles delegate

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

Drishti is an open-source cross-platform mobile application project at Incubate Nepal that incorporates Machine Learning and Artificial Intelligence to help visually impaired people recognize different currency bills and perform daily cash transactions more effectively. We plan to expand Drishti to other applications like Short Text and Document…

Virtual Video Device for Background Replacement with Deep Semantic Segmentation

YOLOv4 Implemented in Tensorflow 2.

Conversion of PyTorch Models into TFLite

Repo of paper title 'Avoid touching your face: A hand-to-face 3d motion dataset (covid-away) and trained models for smartwatches'

Tensorflow Lite external delegate based on TIM-VX

A food ordering android application with feedback analyzer to improve food suggestions to customer.

A Dart interface to TensorFlow Lite (tflite) through dart:ffi

This repository shows how to train a custom detection model with the TFOD API, optimize it with TFLite, and perform inference with the optimized model.

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.

Real time image classification with React Native and Tensorflow lite.

TF2 Deep FloorPlan Recognition using a Multi-task Network with Room-boundary-Guided Attention. Enable tensorboard, quantization, flask, tflite, docker, github actions and google colab.