#1
Learn how to design, develop, deploy and iterate on production-grade ML applications.
3.4K starsAug 16, 2024 pushml-automationJupyter NotebookMachine Learning
$ npx skills add GokuMohandas/mlops-courseAlternatives
Made With ML alternatives for AI agents.
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
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Made With ML
Learn how to develop, deploy and iterate on production-grade ML applications.
100
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93
Trust
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#2
Always know what to expect from your data.
12K starsJun 13, 2026 pushml-automationPythonMLOps
$ npx skills add fivetran/great_expectations#3
Efficient Deep Learning Systems course materials (HSE, YSDA)
1.0K starsMay 28, 2026 pushml-automationJupyter NotebookMLOps
$ npx skills add mryab/efficient-dl-systems#4
Feathr – A scalable, unified data and AI engineering platform for enterprise
1.9K starsApr 4, 2024 pushml-automationScalaMLOps
$ npx skills add feathr-ai/feathr#5
The Open Source Feature Store for AI/ML
7.1K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add feast-dev/feast#6
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
30K starsJul 18, 2024 pushml-automationMachine LearningClaude Code
$ npx skills add eugeneyan/applied-ml#7
⚡️SwanLab - an open-source, modern-design AI training tracking and visualization tool. Supports Cloud / Self-hosted use. Integrated with PyTorch / Transformers / verl / LLaMA Factory / ms-swift / Ultralytics / MMEngine / Keras etc.
4.0K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add SwanHubX/SwanLab#8
H2O 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.
7.5K starsJun 16, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add h2oai/h2o-3#9
Engine for AI/ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.
533 starsJun 10, 2026 pushml-automationPythonMLOps
$ npx skills add polyaxon/traceml#10
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
4.4K starsJun 15, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add microsoft/FLAML#11
Probabilistic reasoning and statistical analysis in TensorFlow
4.4K starsMay 12, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add tensorflow/probability#12
Debugging, monitoring and visualization for Python Machine Learning and Data Science
3.5K starsMar 30, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add microsoft/tensorwatch#13
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
43K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add ray-project/ray#14
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
31K starsJun 10, 2026 pushml-automationPythonMachine Learning
$ npx skills add Lightning-AI/pytorch-lightning#15
Deep Learning for humans
64K starsJun 12, 2026 pushml-automationPythonMachine Learning
$ npx skills add keras-team/keras#16
💫 Industrial-strength Natural Language Processing (NLP) in Python
34K starsMay 19, 2026 pushml-automationPythonMachine Learning
$ npx skills add explosion/spaCyHow to choose
When should you switch?
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 Made With ML if it already passes your workflow test and repository review.
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Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.