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
TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.
Deep Learning for humans
$ npx skills add keras-team/kerasTensorFlow-based neural network library
$ npx skills add google-deepmind/sonnetCore ML tools contain supporting tools for Core ML model conversion, editing, and validation.
$ npx skills add apple/coremltoolsTFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
$ npx skills add tensorflow/datasetsa machine learning image inpainting task that instinctively removes watermarks from image indistinguishable from the ground truth image
$ npx skills add zuruoke/watermark-removalAn Open Source Machine Learning Framework for Everyone
$ npx skills add tensorflow/tensorflow机器学习相关教程
$ npx skills add MorvanZhou/tutorialsPretrain, 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/pytorchPyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
$ npx skills add DLR-RM/stable-baselines3Datasets, Transforms and Models specific to Computer Vision
$ npx skills add pytorch/visionChatterBot is a machine learning, conversational dialog engine for creating chat bots
$ npx skills add gunthercox/ChatterBotA Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
$ npx skills add tensorpack/tensorpackNLTK Source
$ npx skills add nltk/nltkA hyperparameter optimization framework
$ npx skills add optuna/optunaThe Triton Inference Server provides an optimized cloud and edge inferencing solution.
$ npx skills add triton-inference-server/serverHow 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 TensorFlowOnSpark 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.