Alternatives

Ml Agents alternatives for AI agents.

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

Current skill

Ml Agents

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.

100
Quality
87
Trust
19K
Stars
#1

Keras

Similarity 135Trust 87Excellent 100

Deep Learning for humans

64K starsJun 12, 2026 pushml-automationPythonMachine Learning
$ npx skills add keras-team/keras
#2

Onnxruntime

Similarity 134Trust 89Excellent 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
#3

Nndl

Similarity 133Trust 83Excellent 99

邱锡鹏《神经网络与深度学习》(蒲公英书)理论书 v2 与通识版

19K starsJun 1, 2026 pushml-automationMachine Learning
$ npx skills add nndl/nndl
#4

Machinelearning

Similarity 130Trust 88Excellent 99

ML.NET is an open source and cross-platform machine learning framework for .NET.

9.3K starsJun 12, 2026 pushml-automationC#Machine Learning
$ npx skills add dotnet/machinelearning
#5

Transformers

Similarity 127Trust 89Excellent 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
#6

Ray

Similarity 127Trust 89Excellent 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
#7

DeepSpeed

Similarity 127Trust 89Excellent 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
#8

Pytorch Lightning

Similarity 127Trust 89Excellent 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
#9

Yolov5

Similarity 127Trust 87Excellent 100

Ultralytics YOLOv5 in PyTorch > ONNX > CoreML > TFLite

58K starsJun 12, 2026 pushml-automationPythonMachine Learning
$ npx skills add ultralytics/yolov5
#10

Faceswap

Similarity 127Trust 87Excellent 100

Deepfakes Software For All

55K starsMay 29, 2026 pushml-automationPythonMachine Learning
$ npx skills add deepfakes/faceswap
#11

AI For Beginners

Similarity 127Trust 87Excellent 100

12 Weeks, 24 Lessons, AI for All!

48K starsJun 11, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add microsoft/AI-For-Beginners
#12

Supervision

Similarity 127Trust 87Excellent 100

We write your reusable computer vision tools. 💜

44K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add roboflow/supervision
#13

Mediapipe

Similarity 127Trust 87Excellent 100

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
#14

SpaCy

Similarity 127Trust 87Excellent 100

💫 Industrial-strength Natural Language Processing (NLP) in Python

34K starsMay 19, 2026 pushml-automationPythonMachine Learning
$ npx skills add explosion/spaCy
#15

Tensorflow

Similarity 126Trust 86Excellent 100

An Open Source Machine Learning Framework for Everyone

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

Netron

Similarity 126Trust 86Excellent 100

Visualizer for neural network, deep learning and machine learning models

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

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 Ml Agents 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.