Visualizer for neural network, deep learning and machine learning models
$ npx skills add lutzroeder/netronAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Ultralytics YOLOv5 in PyTorch > ONNX > CoreML > TFLite
Visualizer for neural network, deep learning and machine learning models
$ npx skills add lutzroeder/netronONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
$ npx skills add microsoft/onnxruntimePretrain, 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/kerasUltralytics YOLO 🚀
$ npx skills add ultralytics/ultralyticsOpen standard for machine learning interoperability
$ npx skills add onnx/onnxA PyTorch Implementation of Single Shot MultiBox Detector
$ npx skills add amdegroot/ssd.pytorchUltralytics YOLOv3 in PyTorch > ONNX > CoreML > TFLite
$ npx skills add ultralytics/yolov3Deep universal probabilistic programming with Python and PyTorch
$ npx skills add pyro-ppl/pyroCore ML tools contain supporting tools for Core ML model conversion, editing, and validation.
$ npx skills add apple/coremltoolsHigh-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
$ npx skills add pytorch/igniteSupercharge Your Model Training
$ npx skills add mosaicml/composerMachine Learning and Agentic AI Resources, Practice and Research
$ npx skills add yanshengjia/ml-roadThe official Python client for the Hugging Face Hub.
$ npx skills add huggingface/huggingface_hubAn Open Source Machine Learning Framework for Everyone
$ npx skills add tensorflow/tensorflow⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
$ npx skills add ageron/handson-mlHow 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 Yolov5 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.