The fastai deep learning library
$ npx skills add fastai/fastaiAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
maximal update parametrization (µP)
The fastai deep learning library
$ npx skills add fastai/fastaiPretrain, 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/kerasCLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
$ npx skills add openai/CLIPDeep universal probabilistic programming with Python and PyTorch
$ npx skills add pyro-ppl/pyroA game theoretic approach to explain the output of any machine learning model.
$ npx skills add shap/shap⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
$ npx skills add ageron/handson-mlUltralytics YOLOv5 in PyTorch > ONNX > CoreML > TFLite
$ npx skills add ultralytics/yolov5An 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/PaddleONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
$ npx skills add microsoft/onnxruntimeTensors and Dynamic neural networks in Python with strong GPU acceleration
$ npx skills add pytorch/pytorchPyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
$ npx skills add DLR-RM/stable-baselines3A toolkit for making real world machine learning and data analysis applications in C++
$ npx skills add davisking/dlibThe Triton Inference Server provides an optimized cloud and edge inferencing solution.
$ npx skills add triton-inference-server/serverUltralytics YOLOv3 in PyTorch > ONNX > CoreML > TFLite
$ npx skills add ultralytics/yolov3How 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 Mup 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.