Tensors and Dynamic neural networks in Python with strong GPU acceleration
$ npx skills add pytorch/pytorchAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
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机器学习相关教程
Tensors and Dynamic neural networks in Python with strong GPU acceleration
$ npx skills add pytorch/pytorchTFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
$ npx skills add tensorflow/datasetsAn Open Source Machine Learning Framework for Everyone
$ npx skills add tensorflow/tensorflowDeep Learning for humans
$ npx skills add keras-team/keras🐍 Geometric Computer Vision Library for Spatial AI
$ npx skills add kornia/korniaDeep Reinforcement Learning for Keras.
$ npx skills add keras-rl/keras-rlDeep learning library featuring a higher-level API for TensorFlow.
$ npx skills add tflearn/tflearnTensorFlow-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/coremltoolstensorboard for pytorch (and chainer, mxnet, numpy, ...)
$ npx skills add lanpa/tensorboardXHigh-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
$ npx skills add pytorch/ignitea machine learning image inpainting task that instinctively removes watermarks from image indistinguishable from the ground truth image
$ npx skills add zuruoke/watermark-removalOn-device AI across mobile, embedded and edge for PyTorch
$ npx skills add pytorch/executorch⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
$ npx skills add ageron/handson-mlPArallel 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/PaddlePretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
$ npx skills add Lightning-AI/pytorch-lightningHow 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 Tutorials if it already passes your workflow test and repository review.
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