Alternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Tensor library for machine learning
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
$ npx skills add dmlc/xgboostCourse to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
$ npx skills add mlabonne/llm-courseRay 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-lightningCLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
$ npx skills add openai/CLIPGoogle Research
$ npx skills add google-research/google-researchThe world's simplest facial recognition api for Python and the command line
$ npx skills add ageitgey/face_recognitionThe Modular Platform (includes MAX & Mojo)
$ npx skills add modular/modularDatasets, Transforms and Models specific to Computer Vision
$ npx skills add pytorch/visionMachine Learning Engineering Open Book
$ npx skills add stas00/ml-engineeringNLTK Source
$ npx skills add nltk/nltkA hyperparameter optimization framework
$ npx skills add optuna/optuna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/nndlData science interview questions and answers
$ npx skills add alexeygrigorev/data-science-interviews南瓜书：《机器学习》（西瓜书）公式详解
$ npx skills add datawhalechina/pumpkin-bookCross-platform, customizable ML solutions for live and streaming media.
$ npx skills add google-ai-edge/mediapipeHow 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 Ggml 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
Tensor library for machine learning
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
$ npx skills add dmlc/xgboostCourse to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
$ npx skills add mlabonne/llm-courseRay 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-lightningCLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
$ npx skills add openai/CLIPGoogle Research
$ npx skills add google-research/google-researchThe world's simplest facial recognition api for Python and the command line
$ npx skills add ageitgey/face_recognitionThe Modular Platform (includes MAX & Mojo)
$ npx skills add modular/modularDatasets, Transforms and Models specific to Computer Vision
$ npx skills add pytorch/visionMachine Learning Engineering Open Book
$ npx skills add stas00/ml-engineeringNLTK Source
$ npx skills add nltk/nltkA hyperparameter optimization framework
$ npx skills add optuna/optuna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/nndlData science interview questions and answers
$ npx skills add alexeygrigorev/data-science-interviews南瓜书：《机器学习》（西瓜书）公式详解
$ npx skills add datawhalechina/pumpkin-bookCross-platform, customizable ML solutions for live and streaming media.
$ npx skills add google-ai-edge/mediapipeHow 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 Ggml 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.