Alternatives

ScaledYOLOv4 alternatives for AI agents.

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

Current skill

ScaledYOLOv4

Scaled-YOLOv4: Scaling Cross Stage Partial Network

73
Quality
81
Trust
2.0K
Stars
#1

Yolov5

Similarity 157Trust 92Excellent 100

Ultralytics YOLOv5 in PyTorch > ONNX > CoreML > TFLite

58K starsJun 12, 2026 pushml-automationPythonMachine Learning
$ npx skills add ultralytics/yolov5
#2

Yolov3

Similarity 155Trust 92Excellent 100

Ultralytics YOLOv3 in PyTorch > ONNX > CoreML > TFLite

11K starsJun 15, 2026 pushml-automationPythonMachine Learning
$ npx skills add ultralytics/yolov3
#3

Pytorch Lightning

Similarity 141Trust 93Excellent 100

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
#4

Keras

Similarity 141Trust 92Excellent 100

Deep Learning for humans

64K starsJun 12, 2026 pushml-automationPythonMachine Learning
$ npx skills add keras-team/keras
#5

Ultralytics

Similarity 141Trust 88Excellent 100

Ultralytics YOLO 🚀

58K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add ultralytics/ultralytics
#6

Onnx

Similarity 141Trust 92Excellent 100

Open standard for machine learning interoperability

21K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add onnx/onnx
#7

Pyro

Similarity 139Trust 91Excellent 100

Deep universal probabilistic programming with Python and PyTorch

9.0K starsJun 5, 2026 pushml-automationPythonMachine Learning
$ npx skills add pyro-ppl/pyro
#8

Tensorflow

Similarity 135Trust 91Excellent 100

An Open Source Machine Learning Framework for Everyone

196K starsJun 16, 2026 pushml-automationC++Machine Learning
$ npx skills add tensorflow/tensorflow
#9

Netron

Similarity 135Trust 91Excellent 100

Visualizer for neural network, deep learning and machine learning models

33K starsJun 14, 2026 pushml-automationJavaScriptMachine Learning
$ npx skills add lutzroeder/netron
#10

Handson Ml

Similarity 135Trust 91Excellent 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
#11

Fastai

Similarity 135Trust 90Excellent 100

The fastai deep learning library

28K starsMay 20, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add fastai/fastai
#12

Onnxruntime

Similarity 135Trust 93Excellent 100

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

21K starsJun 16, 2026 pushml-automationC++Machine Learning
$ npx skills add microsoft/onnxruntime
#13

MNN

Similarity 134Trust 93Excellent 100

MNN: A blazing-fast, lightweight inference engine battle-tested by Alibaba, powering high-performance on-device LLMs and Edge AI.

15K starsJun 16, 2026 pushml-automationC++Machine Learning
$ npx skills add alibaba/MNN
#14

Transformers

Similarity 134Trust 94Excellent 100

🤗 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
#15

Ray

Similarity 134Trust 94Excellent 100

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
#16

DeepSpeed

Similarity 134Trust 93Excellent 100

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

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 ScaledYOLOv4 if it already passes your workflow test and repository review.

Next step

Compare top candidates side by side

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