#1
Ultralytics YOLOv5 in PyTorch > ONNX > CoreML > TFLite
58K starsJun 12, 2026 pushml-automationPythonMachine Learning
$ npx skills add ultralytics/yolov5Alternatives
CoreML Models alternatives for AI agents.
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
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CoreML Models
Converted CoreML Model Zoo.
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#2
12 Weeks, 24 Lessons, AI for All!
48K starsJun 11, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add microsoft/AI-For-Beginners#3
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
67K starsJan 22, 2026 pushml-automationPythonMachine Learning
$ npx skills add labmlai/annotated_deep_learning_paper_implementations#4
Visualizer for neural network, deep learning and machine learning models
33K starsJun 14, 2026 pushml-automationJavaScriptMachine Learning
$ npx skills add lutzroeder/netron#5
Ultralytics YOLO 🚀
58K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add ultralytics/ultralytics#6
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#7
Techniques for deep learning with satellite & aerial imagery
10K starsJun 7, 2026 pushml-automationMachine LearningClaude Code
$ npx skills add satellite-image-deep-learning/techniques#8
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#9
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
162K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add huggingface/transformers#10
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
43K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add ray-project/ray#11
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
43K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add deepspeedai/DeepSpeed#12
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
31K starsJun 10, 2026 pushml-automationPythonMachine Learning
$ npx skills add Lightning-AI/pytorch-lightning#13
Deep Learning for humans
64K starsJun 12, 2026 pushml-automationPythonMachine Learning
$ npx skills add keras-team/keras#14
We write your reusable computer vision tools. 💜
44K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add roboflow/supervision#15
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#16
An Open Source Machine Learning Framework for Everyone
196K starsJun 16, 2026 pushml-automationC++Machine Learning
$ npx skills add tensorflow/tensorflowHow 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 CoreML Models if it already passes your workflow test and repository review.
Next step
Compare top candidates side by side
Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.