An Open Source Machine Learning Framework for Everyone
$ npx skills add tensorflow/tensorflowAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
.NET Standard bindings for Google's TensorFlow for developing, training and deploying Machine Learning models in C# and F#.
An Open Source Machine Learning Framework for Everyone
$ npx skills add tensorflow/tensorflowDeep Learning for humans
$ npx skills add keras-team/kerasVisualizer for neural network, deep learning and machine learning models
$ npx skills add lutzroeder/netronOpen standard for machine learning interoperability
$ npx skills add onnx/onnxNeural network 3D visualization framework, build interactive and intuitive model in browsers, support pre-trained deep learning models from TensorFlow, Keras, TensorFlow.js
$ npx skills add tensorspace-team/tensorspaceTensorFlow-based neural network library
$ npx skills add google-deepmind/sonnetRun Keras models in the browser, with GPU support using WebGL
$ npx skills add transcranial/keras-jsTensorFlow documentation
$ npx skills add tensorflow/docsThe Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.
$ npx skills add Unity-Technologies/ml-agentsMachine 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-reca machine learning image inpainting task that instinctively removes watermarks from image indistinguishable from the ground truth image
$ npx skills add zuruoke/watermark-removalProbabilistic reasoning and statistical analysis in TensorFlow
$ npx skills add tensorflow/probabilityT81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
$ npx skills add jeffheaton/t81_558_deep_learningDistributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
$ npx skills add horovod/horovodAutoML library for deep learning
$ npx skills add keras-team/autokerasHow 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 TensorFlow.NET 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.