⛔️ 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
100-Days-Of-ML-Code中文版
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
$ npx skills add ageron/handson-mlThe fastai deep learning library
$ npx skills add fastai/fastai:earth_americas: machine learning tutorials (mainly in Python3)
$ npx skills add ethen8181/machine-learningAutoML library for deep learning
$ npx skills add keras-team/autokerasTime series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
$ npx skills add timeseriesAI/tsaiAI实战-practicalAI 中文版
$ npx skills add MLEveryday/practicalAI-cnPretrain, 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/kerasAn Open Source Machine Learning Framework for Everyone
$ npx skills add tensorflow/tensorflowVisualizer for neural network, deep learning and machine learning models
$ npx skills add lutzroeder/netronThe fastai book, published as Jupyter Notebooks
$ npx skills add fastai/fastbookPArallel 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/pytorchOpen standard for machine learning interoperability
$ npx skills add onnx/onnxPyTorch入门教程,在线阅读地址:https://datawhalechina.github.io/thorough-pytorch/
$ npx skills add datawhalechina/thorough-pytorchA toolkit for making real world machine learning and data analysis applications in C++
$ npx skills add davisking/dlibHow 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 100 Days Of ML Code 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.