Alternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
A Graph-based Program Representation for Data Flow Analysis and Compiler Optimizations
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/xgboostCross-platform, customizable ML solutions for live and streaming media.
$ npx skills add google-ai-edge/mediapipeAn Open Source Machine Learning Framework for Everyone
$ npx skills add tensorflow/tensorflowPArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
$ npx skills add PaddlePaddle/PaddleONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
$ npx skills add microsoft/onnxruntimeA 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/LightGBMMNN: A blazing-fast, lightweight inference engine battle-tested by Alibaba, powering high-performance on-device LLMs and Edge AI.
$ npx skills add alibaba/MNNTensor library for machine learning
$ npx skills add ggml-org/ggmlA toolkit for making real world machine learning and data analysis applications in C++
$ npx skills add davisking/dlibOpen3D: A Modern Library for 3D Data Processing
$ npx skills add isl-org/Open3DA fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
$ npx skills add catboost/catboostFit interpretable models. Explain blackbox machine learning.
$ npx skills add interpretml/interpret🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
$ npx skills add huggingface/transformersRay 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/rayDeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
$ npx skills add deepspeedai/DeepSpeedPretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
$ npx skills add Lightning-AI/pytorch-lightningHow 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 ProGraML 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.