Learn how to develop, deploy and iterate on production-grade ML applications.
$ npx skills add GokuMohandas/Made-With-MLAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
The collaboration workspace for Machine Learning
Learn how to develop, deploy and iterate on production-grade ML applications.
$ npx skills add GokuMohandas/Made-With-MLPretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
$ npx skills add Lightning-AI/pytorch-lightning๐ซ Industrial-strength Natural Language Processing (NLP) in Python
$ npx skills add explosion/spaCyLow-code framework for building custom LLMs, neural networks, and other AI models
$ npx skills add ludwig-ai/ludwigAlways know what to expect from your data.
$ npx skills add fivetran/great_expectationsRay is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
$ npx skills add ray-project/ray12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
$ npx skills add microsoft/ML-For-BeginnersDeep Learning for humans
$ npx skills add keras-team/kerasDeepfakes Software For All
$ npx skills add deepfakes/faceswap12 Weeks, 24 Lessons, AI for All!
$ npx skills add microsoft/AI-For-BeginnersVisualizer for neural network, deep learning and machine learning models
$ npx skills add lutzroeder/netron๐ค 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/datasetsImplement a ChatGPT-like LLM in PyTorch from scratch, step by step
$ npx skills add rasbt/LLMs-from-scratchOpen standard for machine learning interoperability
$ npx skills add onnx/onnxMachine 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/wandbHow 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 Mlreef 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.