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Search: machine-learning-visualized
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Showing 10 results from 226
Sfedfcv/redesigned-pancake
GitHubSkip to content github / docs Code Issues 80 Pull requests 35 Discussions Actions Projects 2 Security Insights Merge branch 'main' into 1862-Add-Travis-CI-migration-table 1862-Add-Travis-CI-migration-table (#1869, Iixixi/ZachryTylerWood#102, THEBOLCK79/docs#1, sbnbhk/docs#1) @martin389 martin389... Read more
External source
GitHub
uber-research/atari-model-zoo
GitHub Jupyter Notebook OtherA binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release that enables easy visualization and analysis of models, and comparison across training algorithms.
External source
GitHub
jmcarpenter2/parfit
GitHub Python MIT LicenseA package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization routines.
External source
GitHub
mzweilin/EvadeML-Zoo
GitHub Python MIT LicenseBenchmarking and Visualization Tool for Adversarial Machine Learning
External source
GitHub
freeman-lab/spark-ml-streaming
GitHub Python Apache License 2.0Visualize streaming machine learning in Spark
External source
GitHub
alibaba/Trescope
GitHub JavaScript MIT LicenseTrescope is a comprehensive 3D machine learning development tool devoted to improve developing experience and speed in 3D field, which helps researchers and developers to label, debug, visualize various 3D data
External source
GitHub
aws/sagemaker-distribution
GitHub Shell Apache License 2.0A set of Docker images that include popular frameworks for machine learning, data science and visualization.
External source
GitHub
rtemis-org/rtemis
GitHub R GNU General Public License v3.0Advanced Machine Learning and Visualization
External source
GitHub
YaleDHLab/lab-workshops
GitHub Jupyter Notebook MIT LicenseMaterials for workshops on text mining, machine learning, and data visualization
External source
GitHub
Zhenyu-LIAO/RMT4ML
GitHub Jupyter NotebookMatlab Notebook for visualizing random matrix theory results and their applications to machine learning
External source
GitHub
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