#1
12 Weeks, 24 Lessons, AI for All!
48K starsJun 11, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add microsoft/AI-For-BeginnersAlternatives
Getting Things Done With Pytorch alternatives for AI agents.
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Getting Things Done With Pytorch
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER
74
Quality
81
Trust
2.5K
Stars
#2
A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM 3, and Qwen3-VL.
9.5K starsMay 21, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add roboflow/notebooks#3
We write your reusable computer vision tools. 💜
44K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add roboflow/supervision#4
Cross-platform, customizable ML solutions for live and streaming media.
36K starsJun 15, 2026 pushml-automationC++Machine Learning
$ npx skills add google-ai-edge/mediapipe#5
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
22K starsJun 12, 2026 pushml-automationPythonMachine Learning
$ npx skills add huggingface/datasets#6
Ultralytics YOLO 🚀
58K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add ultralytics/ultralytics#7
A toolkit for making real world machine learning and data analysis applications in C++
14K starsMay 7, 2026 pushml-automationC++Machine Learning
$ npx skills add davisking/dlib#8
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
13K starsJun 14, 2026 pushml-automationPythonMachine Learning
$ npx skills add jacobgil/pytorch-grad-cam#9
Low-code framework for building custom LLMs, neural networks, and other AI models
12K starsJun 15, 2026 pushml-automationPythonMachine Learning
$ npx skills add ludwig-ai/ludwig#10
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#11
A Python library for anomaly detection across tabular, time series, graph, text, and image data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents.
9.9K starsJun 5, 2026 pushml-automationPythonMachine Learning
$ npx skills add yzhao062/pyod#12
Fast and Accurate ML in 3 Lines of Code
10K starsJun 15, 2026 pushml-automationPythonMachine Learning
$ npx skills add autogluon/autogluon#13
A python library for user-friendly forecasting and anomaly detection on time series.
9.4K starsJun 6, 2026 pushml-automationPythonMachine Learning
$ npx skills add unit8co/darts#14
🐍 Geometric Computer Vision Library for Spatial AI
11K starsJun 15, 2026 pushml-automationPythonMachine Learning
$ npx skills add kornia/kornia#15
⛔️ 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#16
The fastai deep learning library
28K starsMay 20, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add fastai/fastaiHow 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 Getting Things Done With Pytorch if it already passes your workflow test and repository review.
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Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.