โ๏ธ DEPRECATED โ 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
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.
โ๏ธ DEPRECATED โ See https://github.com/ageron/handson-ml3 or handson-mlp instead.
$ npx skills add ageron/handson-mlRay 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-lightningDeep Learning for humans
$ npx skills add keras-team/kerasUltralytics YOLOv5 in PyTorch > ONNX > CoreML > TFLite
$ npx skills add ultralytics/yolov5๐ซ Industrial-strength Natural Language Processing (NLP) in Python
$ npx skills add explosion/spaCyOpen standard for machine learning interoperability
$ npx skills add onnx/onnxThe 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/ludwigA Python library for anomaly detection across tabular, time series, graph, text, and image data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents.
$ npx skills add yzhao062/pyodFast and Accurate ML in 3 Lines of Code
$ npx skills add autogluon/autogluonA python library for user-friendly forecasting and anomaly detection on time series.
$ npx skills add unit8co/dartsThe Open Source Feature Store for AI/ML
$ npx skills add feast-dev/feastOpen-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.
$ npx skills add pycaret/pycaret12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
$ npx skills add microsoft/ML-For-BeginnersAn Open Source Machine Learning Framework for Everyone
$ npx skills add tensorflow/tensorflowHow 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 Deepchecks 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
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.
โ๏ธ DEPRECATED โ See https://github.com/ageron/handson-ml3 or handson-mlp instead.
$ npx skills add ageron/handson-mlRay 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-lightningDeep Learning for humans
$ npx skills add keras-team/kerasUltralytics YOLOv5 in PyTorch > ONNX > CoreML > TFLite
$ npx skills add ultralytics/yolov5๐ซ Industrial-strength Natural Language Processing (NLP) in Python
$ npx skills add explosion/spaCyOpen standard for machine learning interoperability
$ npx skills add onnx/onnxThe 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/ludwigA Python library for anomaly detection across tabular, time series, graph, text, and image data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents.
$ npx skills add yzhao062/pyodFast and Accurate ML in 3 Lines of Code
$ npx skills add autogluon/autogluonA python library for user-friendly forecasting and anomaly detection on time series.
$ npx skills add unit8co/dartsThe Open Source Feature Store for AI/ML
$ npx skills add feast-dev/feastOpen-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.
$ npx skills add pycaret/pycaret12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
$ npx skills add microsoft/ML-For-BeginnersAn Open Source Machine Learning Framework for Everyone
$ npx skills add tensorflow/tensorflowHow 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 Deepchecks 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.