Alternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
A lightweight C++ machine learning library for embedded electronics and robotics.
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/xgboostTensor library for machine learning
$ npx skills add ggml-org/ggmlAn 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/PaddleA toolkit for making real world machine learning and data analysis applications in C++
$ npx skills add davisking/dlibAutoHotkey - macro-creation and automation-oriented scripting utility for Windows.
$ npx skills add AutoHotkey/AutoHotkeyPretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
$ npx skills add Lightning-AI/pytorch-lightningGoogle Research
$ npx skills add google-research/google-researchCourse to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
$ npx skills add mlabonne/llm-courseCLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
$ npx skills add openai/CLIP⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
$ npx skills add ageron/handson-mlTensors and Dynamic neural networks in Python with strong GPU acceleration
$ npx skills add pytorch/pytorchThe Modular Platform (includes MAX & Mojo)
$ npx skills add modular/modularDatasets, Transforms and Models specific to Computer Vision
$ npx skills add pytorch/visionA WebGL accelerated JavaScript library for training and deploying ML models.
$ npx skills add tensorflow/tfjs南瓜书：《机器学习》（西瓜书）公式详解
$ npx skills add datawhalechina/pumpkin-bookHow 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 Fido 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.