A gardening app illustrating Android development best practices with migrating a View-based app to Jetpack Compose.

Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.

A starter kit for beginner learns with Bloc pattern, RxDart, sqflite, Fluro and Dio to architect a flutter project. This starter kit build an App Store app as a example

Python implementation of "Interactive Segmentation on RGBD Images via Cue Selection"

Companion repository to the "Build reactive mobile apps in Flutter" talk

Plugins for Flutter maintained by the Flutter team

Firebase Quickstart Samples for Android

A collection of simple, bare-bones Flutter apps that each demonstrate a concept

ML related stuff

Daquexian's NNAPI Library. ONNX + Android NNAPI

An open source board for load cell reading and configuration based on the HX711 and ATmega328.

Multi-label image classification using pretrained Inception net.

An app for orientation week at Trinity College, University of Toronto. Made with Flutter

[Examples] Simple basic isolated apps, for budding flutter devs.

Flutter makes it easy and fast to build beautiful apps for mobile and beyond

An awesome list that curates the best Flutter libraries, tools, tutorials, articles and more.

An example for a rich ui on Flutter

A collection of Flutter examples and demos

Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!

Colaboratory (Jupyter) notebook to retrain model for semantic segmentation in Deeplab, Tensorflow. Initial model is MobileNet or Xception with ADE20K dataset. Derived from Tensorflow official demo.

Source code for the LabelMe annotation tool.

Convert between visual object detection datasets

Full version (training+testing) of implementation of Shizhan Zhu et al.'s ICCV-17 work Be Your Own Prada: Fashion Synthesis with Structural Coherence

Google Colab (Jupyter) notebook to train Instance Segmentation Tensorflow model with custom dataset, based on Matterport Mask R-CNN

General code to convert a trained keras model into an inference tensorflow model

Keras code and weights files for popular deep learning models.

Mobile Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

Tensorflow Implementation of the Semantic Segmentation DeepLab_V3 CNN

Real-Time Semantic Segmentation in Mobile device