Alternatives

T81 558 Deep Learning alternatives for AI agents.

Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.

Current skill

T81 558 Deep Learning

T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis

98
Quality
90
Trust
5.7K
Stars
#1

Docs

Similarity 139Trust 94Excellent 100

TensorFlow documentation

6.3K starsMay 12, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add tensorflow/docs
#2

DeepLearning

Similarity 136Trust 85Strong 84

深度学习入门教程, 优秀文章, Deep Learning Tutorial

18K starsApr 21, 2022 pushml-automationJupyter NotebookMachine Learning
$ npx skills add Mikoto10032/DeepLearning
#3

Tensorflow

Similarity 136Trust 95Excellent 100

An Open Source Machine Learning Framework for Everyone

196K starsJun 16, 2026 pushml-automationC++Machine Learning
$ npx skills add tensorflow/tensorflow
#4

Netron

Similarity 136Trust 95Excellent 100

Visualizer for neural network, deep learning and machine learning models

33K starsJun 14, 2026 pushml-automationJavaScriptMachine Learning
$ npx skills add lutzroeder/netron
#5

Pytorch Handbook

Similarity 136Trust 85Strong 80

pytorch 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

22K starsJul 25, 2024 pushml-automationJupyter NotebookMachine Learning
$ npx skills add zergtant/pytorch-handbook
#6

AI For Beginners

Similarity 134Trust 96Excellent 100

12 Weeks, 24 Lessons, AI for All!

48K starsJun 11, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add microsoft/AI-For-Beginners
#7

Google Research

Similarity 134Trust 96Excellent 100

Google Research

38K starsJun 16, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add google-research/google-research
#8

CLIP

Similarity 134Trust 96Excellent 100

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

34K starsMar 25, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add openai/CLIP
#9

Handson Ml

Similarity 134Trust 97Excellent 100

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.

26K starsMay 19, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add ageron/handson-ml
#10

TensorFlow Tutorials

Similarity 134Trust 83Strong 80

TensorFlow Tutorials with YouTube Videos

9.3K starsJan 15, 2021 pushml-automationJupyter NotebookMachine Learning
$ npx skills add Hvass-Labs/TensorFlow-Tutorials
#11

Python Machine Learning Book 2nd Edition

Similarity 134Trust 86Strong 79

The "Python Machine Learning (2nd edition)" book code repository and info resource

7.2K starsOct 1, 2020 pushml-automationJupyter NotebookMachine Learning
$ npx skills add rasbt/python-machine-learning-book-2nd-edition
#12

Shap

Similarity 133Trust 95Excellent 100

A game theoretic approach to explain the output of any machine learning model.

26K starsJun 15, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add shap/shap
#13

Pytorch Deep Learning

Similarity 132Trust 92Excellent 100

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

18K starsFeb 11, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add mrdbourke/pytorch-deep-learning
#14

Python Machine Learning Book 3rd Edition

Similarity 132Trust 84Strong 77

The "Python Machine Learning (3rd edition)" book code repository

5.0K starsApr 19, 2023 pushml-automationJupyter NotebookMachine Learning
$ npx skills add rasbt/python-machine-learning-book-3rd-edition
#15

ML NLP

Similarity 132Trust 91Excellent 100

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。

18K starsJan 9, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add NLP-LOVE/ML-NLP
#16

Mlops Zoomcamp

Similarity 132Trust 92Excellent 100

Free MLOps course from DataTalks.Club

15K starsJun 10, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add DataTalksClub/mlops-zoomcamp

How to choose

When should you switch?

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.

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