Alternatives

ConvolutionalNeuralOperator alternatives for AI agents.

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

Current skill

ConvolutionalNeuralOperator

This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs

63
Quality
77
Trust
225
Stars
#1

Cesium

Similarity 104Trust 93Excellent 100

An open-source JavaScript library for world-class 3D globes and maps :earth_americas:

15K starsJun 21, 2026 pushgeo-scienceJavaScriptGeospatial
$ npx skills add CesiumGS/cesium
#2

Turf

Similarity 103Trust 92Excellent 100

A modular geospatial engine written in JavaScript and TypeScript

10K starsJun 20, 2026 pushgeo-scienceTypeScriptGeospatial
$ npx skills add Turfjs/turf
#3

Erpnext

Similarity 103Trust 92Excellent 100

Free and Open Source Enterprise Resource Planning (ERP)

36K starsJun 16, 2026 pushgeo-sciencePythonHealth Data
$ npx skills add frappe/erpnext
#4

Tile38

Similarity 103Trust 89Excellent 100

Real-time Geospatial and Geofencing

9.7K starsJun 9, 2026 pushgeo-scienceGoGeospatial
$ npx skills add tidwall/tile38
#5

Machine Learning For Trading

Similarity 76Trust 88Excellent 100

Code for Machine Learning for Algorithmic Trading, 2nd edition.

19K starsJun 23, 2026 pushfinanceJupyter NotebookFinance
$ npx skills add stefan-jansen/machine-learning-for-trading
#6

Transformers

Similarity 76Trust 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
#7

Gradio

Similarity 76Trust 94Excellent 100

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

43K starsJun 17, 2026 pushdata-analysisPythonData Analysis
$ npx skills add gradio-app/gradio
#8

Ray

Similarity 76Trust 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
#9

Diffusers

Similarity 76Trust 94Excellent 100

🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.

34K starsJun 16, 2026 pushmedia-automationPythonImage Generation
$ npx skills add huggingface/diffusers
#10

DeepSpeed

Similarity 76Trust 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
#11

Pytorch Lightning

Similarity 75Trust 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
#12

TradingAgents

Similarity 75Trust 92Excellent 100

TradingAgents: Multi-Agents LLM Financial Trading Framework

88K starsJun 22, 2026 pushfinancePythonFinance
$ npx skills add TauricResearch/TradingAgents
#13

Keras

Similarity 75Trust 92Excellent 100

Deep Learning for humans

64K starsJun 12, 2026 pushml-automationPythonMachine Learning
$ npx skills add keras-team/keras
#14

Yolov5

Similarity 75Trust 92Excellent 100

Ultralytics YOLOv5 in PyTorch > ONNX > CoreML > TFLite

58K starsJun 12, 2026 pushml-automationPythonMachine Learning
$ npx skills add ultralytics/yolov5
#15

Streamlit

Similarity 75Trust 92Excellent 100

Streamlit — A faster way to build and share data apps.

45K starsJun 14, 2026 pushdata-analysisPythonData Analysis
$ npx skills add streamlit/streamlit
#16

Qlib

Similarity 75Trust 92Excellent 100

Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.

44K starsApr 22, 2026 pushfinancePythonFinance
$ npx skills add microsoft/qlib

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

Next step

Compare top candidates side by side

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