Visualizer for neural network, deep learning and machine learning models
$ npx skills add lutzroeder/netronAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Neural network 3D visualization framework, build interactive and intuitive model in browsers, support pre-trained deep learning models from TensorFlow, Keras, TensorFlow.js
Visualizer for neural network, deep learning and machine learning models
$ npx skills add lutzroeder/netronRun Keras models in the browser, with GPU support using WebGL
$ npx skills add transcranial/keras-jsPublication-ready NN-architecture schematics.
$ npx skills add alexlenail/NN-SVGDeep Learning for humans
$ npx skills add keras-team/kerasAn Open Source Machine Learning Framework for Everyone
$ npx skills add tensorflow/tensorflowOpen standard for machine learning interoperability
$ npx skills add onnx/onnx.NET Standard bindings for Google's TensorFlow for developing, training and deploying Machine Learning models in C# and F#.
$ npx skills add SciSharp/TensorFlow.NETTensorFlow-based neural network library
$ npx skills add google-deepmind/sonnetTensorFlow documentation
$ npx skills add tensorflow/docsA collaboration friendly studio for NeRFs
$ npx skills add nerfstudio-project/nerfstudioMachine Learning and Agentic AI Resources, Practice and Research
$ npx skills add yanshengjia/ml-road推荐系统入门教程,在线阅读地址:https://datawhalechina.github.io/fun-rec/
$ npx skills add datawhalechina/fun-recProbabilistic reasoning and statistical analysis in TensorFlow
$ npx skills add tensorflow/probabilityDistributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
$ npx skills add horovod/horovoda machine learning image inpainting task that instinctively removes watermarks from image indistinguishable from the ground truth image
$ npx skills add zuruoke/watermark-removalT81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
$ npx skills add jeffheaton/t81_558_deep_learningHow to choose
Use an alternative when it has a clearer install path, higher trust score, fresher maintenance, or better platform fit for your current agent stack. Keep Tensorspace if it already passes your workflow test and repository review.
Next step
Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.