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
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
An Open Source Machine Learning Framework for Everyone
$ npx skills add tensorflow/tensorflowPArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)
$ npx skills add PaddlePaddle/PaddleTensors and Dynamic neural networks in Python with strong GPU acceleration
$ npx skills add pytorch/pytorch🐍 Geometric Computer Vision Library for Spatial AI
$ npx skills add kornia/korniaThe fastai deep learning library
$ npx skills add fastai/fastaiH2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
$ npx skills add h2oai/h2o-3Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
$ npx skills add ray-project/rayPretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
$ npx skills add Lightning-AI/pytorch-lightningDeep Learning for humans
$ npx skills add keras-team/kerasUltralytics YOLOv5 in PyTorch > ONNX > CoreML > TFLite
$ npx skills add ultralytics/yolov5Visualizer for neural network, deep learning and machine learning models
$ npx skills add lutzroeder/netronOpen standard for machine learning interoperability
$ npx skills add onnx/onnxMNN: A blazing-fast, lightweight inference engine battle-tested by Alibaba, powering high-performance on-device LLMs and Edge AI.
$ npx skills add alibaba/MNNA toolkit for making real world machine learning and data analysis applications in C++
$ npx skills add davisking/dlibA WebGL accelerated JavaScript library for training and deploying ML models.
$ npx skills add tensorflow/tfjsA hyperparameter optimization framework
$ npx skills add optuna/optunaHow 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 Handson Ml 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.
Alternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
An Open Source Machine Learning Framework for Everyone
$ npx skills add tensorflow/tensorflowPArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)
$ npx skills add PaddlePaddle/PaddleTensors and Dynamic neural networks in Python with strong GPU acceleration
$ npx skills add pytorch/pytorch🐍 Geometric Computer Vision Library for Spatial AI
$ npx skills add kornia/korniaThe fastai deep learning library
$ npx skills add fastai/fastaiH2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
$ npx skills add h2oai/h2o-3Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
$ npx skills add ray-project/rayPretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
$ npx skills add Lightning-AI/pytorch-lightningDeep Learning for humans
$ npx skills add keras-team/kerasUltralytics YOLOv5 in PyTorch > ONNX > CoreML > TFLite
$ npx skills add ultralytics/yolov5Visualizer for neural network, deep learning and machine learning models
$ npx skills add lutzroeder/netronOpen standard for machine learning interoperability
$ npx skills add onnx/onnxMNN: A blazing-fast, lightweight inference engine battle-tested by Alibaba, powering high-performance on-device LLMs and Edge AI.
$ npx skills add alibaba/MNNA toolkit for making real world machine learning and data analysis applications in C++
$ npx skills add davisking/dlibA WebGL accelerated JavaScript library for training and deploying ML models.
$ npx skills add tensorflow/tfjsA hyperparameter optimization framework
$ npx skills add optuna/optunaHow 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 Handson Ml 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.