TensorFlow documentation
$ npx skills add tensorflow/docsAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
TensorFlow documentation
$ npx skills add tensorflow/docs深度学习入门教程, 优秀文章, Deep Learning Tutorial
$ npx skills add Mikoto10032/DeepLearningAn 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/netronpytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行
$ npx skills add zergtant/pytorch-handbook12 Weeks, 24 Lessons, AI for All!
$ npx skills add microsoft/AI-For-BeginnersGoogle Research
$ npx skills add google-research/google-researchCLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
$ npx skills add openai/CLIP⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
$ npx skills add ageron/handson-mlTensorFlow Tutorials with YouTube Videos
$ npx skills add Hvass-Labs/TensorFlow-TutorialsThe "Python Machine Learning (2nd edition)" book code repository and info resource
$ npx skills add rasbt/python-machine-learning-book-2nd-editionA game theoretic approach to explain the output of any machine learning model.
$ npx skills add shap/shapMaterials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
$ npx skills add mrdbourke/pytorch-deep-learningThe "Python Machine Learning (3rd edition)" book code repository
$ npx skills add rasbt/python-machine-learning-book-3rd-edition此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。
$ npx skills add NLP-LOVE/ML-NLPFree MLOps course from DataTalks.Club
$ npx skills add DataTalksClub/mlops-zoomcampHow 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 T81 558 Deep Learning 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.