Learn how to develop, deploy and iterate on production-grade ML applications.
$ npx skills add GokuMohandas/Made-With-MLAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
SageMakerで機械学習モデルを構築、学習、デプロイする方法が学べるNotebookと教材集
Learn how to develop, deploy and iterate on production-grade ML applications.
$ npx skills add GokuMohandas/Made-With-MLCLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
$ npx skills add openai/CLIPFree MLOps course from DataTalks.Club
$ npx skills add DataTalksClub/mlops-zoomcampPretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
$ npx skills add Lightning-AI/pytorch-lightningGoogle Research
$ npx skills add google-research/google-researchA python library for user-friendly forecasting and anomaly detection on time series.
$ npx skills add unit8co/darts⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
$ npx skills add ageron/handson-mlA game theoretic approach to explain the output of any machine learning model.
$ npx skills add shap/shapAlways know what to expect from your data.
$ npx skills add fivetran/great_expectationsRay 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/rayDeep Learning for humans
$ npx skills add keras-team/keras💫 Industrial-strength Natural Language Processing (NLP) in Python
$ npx skills add explosion/spaCyThe AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
$ npx skills add wandb/wandbLow-code framework for building custom LLMs, neural networks, and other AI models
$ npx skills add ludwig-ai/ludwig邱锡鹏《神经网络与深度学习》(蒲公英书)理论书 v2 与通识版
$ npx skills add nndl/nndlLabel Studio is a multi-type data labeling and annotation tool with standardized output format
$ npx skills add HumanSignal/label-studioHow 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 Aws Ml Jp 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.