Deep Learning for humans
$ npx skills add keras-team/kerasAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Neural network visualization toolkit for keras
Deep Learning for humans
$ npx skills add keras-team/kerasAn Open Source Machine Learning Framework for Everyone
$ npx skills add tensorflow/tensorflowPretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
$ npx skills add Lightning-AI/pytorch-lightningTensors and Dynamic neural networks in Python with strong GPU acceleration
$ npx skills add pytorch/pytorchOpen standard for machine learning interoperability
$ npx skills add onnx/onnxThe Triton Inference Server provides an optimized cloud and edge inferencing solution.
$ npx skills add triton-inference-server/serverUltralytics YOLOv3 in PyTorch > ONNX > CoreML > TFLite
$ npx skills add ultralytics/yolov3๐ Geometric Computer Vision Library for Spatial AI
$ npx skills add kornia/korniaA python library for user-friendly forecasting and anomaly detection on time series.
$ npx skills add unit8co/dartsDeep universal probabilistic programming with Python and PyTorch
$ npx skills add pyro-ppl/pyroModelScope: bring the notion of Model-as-a-Service to life.
$ npx skills add modelscope/modelscopeCore ML tools contain supporting tools for Core ML model conversion, editing, and validation.
$ npx skills add apple/coremltoolsSeamlessly integrate LLMs into scikit-learn.
$ npx skills add BeastByteAI/scikit-llmVisualizer for neural network, deep learning and machine learning models
$ npx skills add lutzroeder/netronโ๏ธ DEPRECATED โ See https://github.com/ageron/handson-ml3 or handson-mlp instead.
$ npx skills add ageron/handson-mlThe fastai deep learning library
$ npx skills add fastai/fastaiHow 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 Keras Vis 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.