An open source cybersecurity protocol for syncing decentralized graph data.
$ npx skills add amark/gunAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
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High-performance data engine for AI and multimodal workloads. Process images, audio, video, and structured data at any scale
An open source cybersecurity protocol for syncing decentralized graph data.
$ npx skills add amark/gunH2O 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.
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$ npx skills add mage-ai/mage-aiThe Open Source Feature Store for AI/ML
$ npx skills add feast-dev/feastRay 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-lightning12 Weeks, 24 Lessons, AI for All!
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$ npx skills add tensorflow/tensorflow💫 Industrial-strength Natural Language Processing (NLP) in Python
$ npx skills add explosion/spaCy⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
$ npx skills add ageron/handson-ml🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
$ npx skills add huggingface/datasetsA fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
$ npx skills add lightgbm-org/LightGBMImplement a ChatGPT-like LLM in PyTorch from scratch, step by step
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$ npx skills add onnx/onnxMachine Learning Systems
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$ npx skills add optuna/optunaHow 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 Daft 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.