Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
$ npx skills add mlabonne/llm-courseAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Machine Learning Engineering Open Book
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
$ npx skills add mlabonne/llm-courseWelcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama model family and using them on various provider services
$ npx skills add meta-llama/llama-cookbookYC (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/screenpipe๐ค 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.
$ npx skills add huggingface/transformersRay 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/rayDeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
$ npx skills add deepspeedai/DeepSpeedPretrain, 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/spaCy๐ค 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/datasetsOpen standard for machine learning interoperability
$ npx skills add onnx/onnxThe AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
$ npx skills add wandb/wandbKedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
$ npx skills add kedro-org/kedroThe Triton Inference Server provides an optimized cloud and edge inferencing solution.
$ npx skills add triton-inference-server/serverA unified framework for machine learning with time series
$ npx skills add sktime/sktimeAccessible large language models via k-bit quantization for PyTorch.
$ npx skills add bitsandbytes-foundation/bitsandbytes12 Weeks, 24 Lessons, AI for All!
$ npx skills add microsoft/AI-For-BeginnersHow 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 Ml Engineering 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.
Alternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Machine Learning Engineering Open Book
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
$ npx skills add mlabonne/llm-courseWelcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama model family and using them on various provider services
$ npx skills add meta-llama/llama-cookbookYC (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/screenpipe๐ค 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.
$ npx skills add huggingface/transformersRay 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/rayDeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
$ npx skills add deepspeedai/DeepSpeedPretrain, 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/spaCy๐ค 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/datasetsOpen standard for machine learning interoperability
$ npx skills add onnx/onnxThe AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
$ npx skills add wandb/wandbKedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
$ npx skills add kedro-org/kedroThe Triton Inference Server provides an optimized cloud and edge inferencing solution.
$ npx skills add triton-inference-server/serverA unified framework for machine learning with time series
$ npx skills add sktime/sktimeAccessible large language models via k-bit quantization for PyTorch.
$ npx skills add bitsandbytes-foundation/bitsandbytes12 Weeks, 24 Lessons, AI for All!
$ npx skills add microsoft/AI-For-BeginnersHow 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 Ml Engineering 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.