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Open standard for machine learning interoperability
21K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add onnx/onnxAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo
Open standard for machine learning interoperability
$ npx skills add onnx/onnx12 Weeks, 24 Lessons, AI for All!
$ npx skills add microsoft/AI-For-BeginnersImplement a ChatGPT-like LLM in PyTorch from scratch, step by step
$ npx skills add rasbt/LLMs-from-scratchPretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
$ npx skills add Lightning-AI/pytorch-lightning💫 Industrial-strength Natural Language Processing (NLP) in Python
$ npx skills add explosion/spaCyVisualizer for neural network, deep learning and machine learning models
$ npx skills add lutzroeder/netron🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
$ npx skills add huggingface/datasetsGoogle Research
$ npx skills add google-research/google-researchThe fastai deep learning library
$ npx skills add fastai/fastaiAI-Powered Photos App for the Decentralized Web 🌈💎✨
$ npx skills add photoprism/photoprismOpen Machine Learning Compiler Framework
$ npx skills add apache/tvmThe Modular Platform (includes MAX & Mojo)
$ npx skills add modular/modularA WebGL accelerated JavaScript library for training and deploying ML models.
$ npx skills add tensorflow/tfjsMachine Learning Systems
$ npx skills add harvard-edge/cs249r_bookThe AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
$ npx skills add wandb/wandbYC (S26) | AI that knows what you've seen, said, or heard. Records everything you do, say, hear 24/7, local, private, secure
$ npx skills add screenpipe/screenpipeHow to choose
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 Machine Learning Experiments if it already passes your workflow test and repository review.
Next step
Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.