Examples of Tensorflow Lite on Android
- tensorflow
- tensorflow-lite
- kotlin-android
- android
Repository Index
47,133 repositories indexed
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Toolbox for the analysis of smFISH images.
- pattern-classification
- rna-localization
- segmentation
- smfish
Ruby port of the NLTK Punkt sentence segmentation algorithm
- rubynlp
- sentence-tokenizer
- ruby
- sentence-boundaries
A Go library for performing Unicode Text Segmentation as described in Unicode Standard Annex #29
RootPainter: Deep Learning Segmentation of Biological Images with Corrective Annotation
- biological-images
- root
- painter
- segmentation
SplineDist: Automated Cell Segmentation with Spline Curves
A curated list of resources for 3D segmentation of neurites in EM images
A background stylizer Android app chaining 2 ML models: segmentation & style transfer.
A versatile, fully open-source pipeline to extract phenotypic measurements from plant images
- deep-learning
- plant-phenotyping
- nextflow
- scikit-image
A fast and accurate rule-based sentence segmentation tool for Ruby.
Pixano Elements - Re-usable web components dedicated to data annotation tasks.
- computer-vision
- annotation-tool
- deep-learning
- web-components
Tool for segmentation in bioimaging
- napari
- bioimage-analysis
Flutter TF Segmentation is an example app that uses Flutter for the ios/android app and uses TensorFlow Lite for Image segmentation.
Unicode text segmentation for OCaml
Accurate segmentation of bacterial microscope images using deep learning synthetically generated image data.
- microscopy
- image-processing
- segmentation
- biology
A tokenizer based on the dictionary and Bigram language models for Go. (Now only support chinese segmentation)
- tokenizer
- segmentation
- golang
Static analysis from configs → Kubernetes NetworkPolicies in seconds
#ZVQ - Zebrafish Vascular Quantification - https://doi.org/10.1242/dev.199720
- segmentation
- image-processing
- zebrafish
- vasculature
Realtime Image Segmentation using TFLite and Flutter
QuimP is software for tracking cellular shape changes and dynamic distributions of fluorescent reporters at the cell membrane.
- cell
- motility
- segmentation
- imagej
DetecDiv provides a comprehensive set of tools to analyze time microscopy images using deep learning methods. The software structure is such that data can be processed either at the command line or using a graphical user-interface. Detecdiv classification models include : image classification and regression, semantic segmentation, LSTM networks to analyze data and image timeseries.
Panoptic segmentation algorithms for 2D and 3D electron microscopy images
- deep-learning
- semantic-segmentation
- segmentation
- pytorch
The repository host gives no description.
gateway for segmentation data to Rstats & visualization with ggplot2 - in development
- visualization
- fluorescence-data
- ggplot