Topic: interactive-machine-learning Goto Github
Some thing interesting about interactive-machine-learning
Some thing interesting about interactive-machine-learning
interactive-machine-learning,RootPainter: Deep Learning Segmentation of Biological Images with Corrective Annotation
User: abe404
Home Page: https://nph.onlinelibrary.wiley.com/doi/full/10.1111/nph.18387
interactive-machine-learning,RootPainter3D: Interactive-machine-learning enables rapid and accurate contouring for radiotherapy
User: abe404
interactive-machine-learning,Sample Review & Feature Selection for Audio Datasets
User: accraze
interactive-machine-learning,Machine Learning for Computer Security
Organization: anssi-fr
Home Page: https://anssi-fr.github.io/SecuML
interactive-machine-learning,Rough set and machine learning data structures, algorithms and tools, including algorithms for discernibility matrix, reducts, decision rules, classification (RoughSet, KNN, RIONIDA, AQ15, C4.5, SVM, NeuralNetwork and many others), discretization (1R, Entropy Minimization, ChiMerge, MD), and tool for interactive and explainable machine learning.
User: awojna
Home Page: http://rseslib.mimuw.edu.pl
interactive-machine-learning,Implementation of "GrabCut": interactive foreground extraction using iterated graph cuts", in MATLAB
User: ekazakos
interactive-machine-learning,
User: fastandfourier
interactive-machine-learning,Interactive Machine Learning for ScratchX
User: frantic0
interactive-machine-learning,Interactive feature selection web application
User: helenzhao093
interactive-machine-learning,User Modelling for Avoiding Overfitting in Interactive Knowledge Elicitation for Prediction
Organization: hiit
interactive-machine-learning,An R Shiny Application that let's users get inference from the data by the auto-generated visualizations and control, train and evaluate different ML models on the selected data.
User: indrapaul824
Home Page: https://indrap24.shinyapps.io/interactive-data-analyser/
interactive-machine-learning,Tölvera is a library for exploring musical performance with artificial life (ALife) and self-organising systems.
Organization: intelligent-instruments-lab
Home Page: http://tolvera.is
interactive-machine-learning,Risk Factor Analysis for Medical Data, Open-source Machine Learning Platform
Organization: interactive-media-lab-data-science-team
Home Page: https://rfa-tool.herokuapp.com/
interactive-machine-learning,Paper list of Interactive Labeling Algorithm
User: kaiwenzha
interactive-machine-learning,Group project at Augsburg University
User: kvlsky
interactive-machine-learning,Interactive multimedia captioning with Keras
User: lvapeab
Home Page: http://casmacat.prhlt.upv.es/interactive-seq2seq/
interactive-machine-learning,An Interactive Machine Learning Toolkit
Organization: marcellejs
Home Page: https://marcelle.dev
interactive-machine-learning,Interactive Neural Machine Translation tool
Organization: microsoft
Home Page: https://microsoft.github.io/inmt/
interactive-machine-learning,A system for building labeling tools
Organization: microsoft
Home Page: https://microsoft.github.io/OneLabeler-doc/
interactive-machine-learning,RapidLib is a lightweight library for interactive machine learning.
User: mzed
Home Page: https://mzed.github.io/RapidLib/
interactive-machine-learning,Peax is a tool for interactive visual pattern search and exploration in epigenomic data based on unsupervised representation learning with autoencoders
Organization: novartis
Home Page: http://peax.lekschas.de
interactive-machine-learning,Interactive Assessment Tool for Gaze-based Machine Learning Models in Information Retrieval
User: pabvald
Home Page: https://iml.dfki.de/demos/rematool/
interactive-machine-learning,DrCaptcha is an interactive machine learning application. The purpose of the program is to the feedback provided by users, and to use it to optimize a machine learning model. The purpose of this model is to recognize handwritten letters and numbers.
User: rafaelglikis
interactive-machine-learning,Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human in Loop and Visual Analytics.
User: rehmanzafar
interactive-machine-learning,Tornado is an open source Human-in-the-loop machine learning tool. It helps you label your dataset on the fly while training your model through a simple web user interface. It supports all data types: structured, text and image.
User: slrbl
interactive-machine-learning,data-to-paper: AI-driven scientific research
Organization: technion-kishony-lab
interactive-machine-learning,Personalized Training for the Sequence Learning task with the NAO robot and the MUSE EEG sensor
User: tsiakask
interactive-machine-learning,Teach an ML model to read your gestures in your web browser
User: wangqianwen0418
Home Page: https://qianwen.info/tfjs-webcam-ML-PACMAN/
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Open source projects and samples from Microsoft.
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