⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
$ npx skills add ageron/handson-mlAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
An Open Source Machine Learning Framework for Everyone
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
$ npx skills add ageron/handson-mlPArallel 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/PaddleDeep Learning for humans
$ npx skills add keras-team/kerasTensors and Dynamic neural networks in Python with strong GPU acceleration
$ npx skills add pytorch/pytorchOpen standard for machine learning interoperability
$ npx skills add onnx/onnx🐍 Geometric Computer Vision Library for Spatial AI
$ npx skills add kornia/korniaMNN: 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/dlibRay 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-lightningUltralytics YOLOv5 in PyTorch > ONNX > CoreML > TFLite
$ npx skills add ultralytics/yolov5Deepfakes Software For All
$ npx skills add deepfakes/faceswapVisualizer for neural network, deep learning and machine learning models
$ npx skills add lutzroeder/netronThe fastai deep learning library
$ npx skills add fastai/fastaiA 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 Tensorflow 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
An Open Source Machine Learning Framework for Everyone
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
$ npx skills add ageron/handson-mlPArallel 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/PaddleDeep Learning for humans
$ npx skills add keras-team/kerasTensors and Dynamic neural networks in Python with strong GPU acceleration
$ npx skills add pytorch/pytorchOpen standard for machine learning interoperability
$ npx skills add onnx/onnx🐍 Geometric Computer Vision Library for Spatial AI
$ npx skills add kornia/korniaMNN: 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/dlibRay 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-lightningUltralytics YOLOv5 in PyTorch > ONNX > CoreML > TFLite
$ npx skills add ultralytics/yolov5Deepfakes Software For All
$ npx skills add deepfakes/faceswapVisualizer for neural network, deep learning and machine learning models
$ npx skills add lutzroeder/netronThe fastai deep learning library
$ npx skills add fastai/fastaiA 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 Tensorflow 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.