Low-code framework for building custom LLMs, neural networks, and other AI models
$ npx skills add ludwig-ai/ludwigAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
How to use TensorLayer
Low-code framework for building custom LLMs, neural networks, and other AI models
$ npx skills add ludwig-ai/ludwigFast and Accurate ML in 3 Lines of Code
$ npx skills add autogluon/autogluon🐍 Geometric Computer Vision Library for Spatial AI
$ npx skills add kornia/korniaRay 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/keras12 Weeks, 24 Lessons, AI for All!
$ npx skills add microsoft/AI-For-BeginnersWe write your reusable computer vision tools. 💜
$ npx skills add roboflow/supervisionCross-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/tensorflowVisualizer for neural network, deep learning and machine learning models
$ npx skills add lutzroeder/netronPArallel 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/Paddle💫 Industrial-strength Natural Language Processing (NLP) in Python
$ npx skills add explosion/spaCy🤗 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/datasets⛔️ 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/pytorchHow 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 Tensorlayer Tricks 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.