Alternatives

ADCME.Jl alternatives for AI agents.

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

Current skill

ADCME.Jl

Automatic Differentiation Library for Computational and Mathematical Engineering

51
Quality
73
Trust
320
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

Julia

Similarity 133Trust 87Excellent 100

The Julia Programming Language

49K starsJun 16, 2026 pushml-automationJuliaMachine Learning
$ npx skills add JuliaLang/julia
#3

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
#4

Onnxruntime

Similarity 126Trust 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
#5

Photoprism

Similarity 126Trust 83Excellent 100

AI-Powered Photos App for the Decentralized Web 🌈💎✨

40K starsJun 16, 2026 pushml-automationGoMachine Learning
$ npx skills add photoprism/photoprism
#6

Ggml

Similarity 125Trust 87Excellent 100

Tensor library for machine learning

15K starsJun 15, 2026 pushml-automationC++Machine Learning
$ npx skills add ggml-org/ggml
#7

Ml Agents

Similarity 125Trust 85Excellent 99

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.

19K starsJun 12, 2026 pushml-automationC#Machine Learning
$ npx skills add Unity-Technologies/ml-agents
#8

Video2x

Similarity 125Trust 87Excellent 96

A machine learning-based video super resolution and frame interpolation framework. Est. Hack the Valley II, 2018.

20K starsMar 7, 2026 pushml-automationC++Machine Learning
$ npx skills add k4yt3x/video2x
#9

Nndl

Similarity 125Trust 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
#10

Coremltools

Similarity 124Trust 89Excellent 100

Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.

5.4K starsSep 12, 2026 pushml-automationPythonMachine Learning
$ npx skills add apple/coremltools
#11

Cog

Similarity 124Trust 84Excellent 99

Containers for machine learning

9.4K starsJun 12, 2026 pushml-automationGoMachine Learning
$ npx skills add replicate/cog
#12

Machine Learning Zoomcamp

Similarity 124Trust 82Excellent 97

Learn ML engineering for free in 4 months! Register here 👇🏼

13K starsJun 10, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add DataTalksClub/machine-learning-zoomcamp
#13

Transformers

Similarity 119Trust 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
#14

Ray

Similarity 119Trust 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
#15

DeepSpeed

Similarity 119Trust 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
#16

Pytorch Lightning

Similarity 119Trust 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

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 ADCME.Jl if it already passes your workflow test and repository review.

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