A game theoretic approach to explain the output of any machine learning model.
$ npx skills add shap/shapAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
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These are my notes which I prepared during deep learning specialization taught by AI guru Andrew NG. I have used diagrams and code snippets from the code whenever needed but following The Honor Code.
A game theoretic approach to explain the output of any machine learning model.
$ npx skills add shap/shapCLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
$ npx skills add openai/CLIPDeep Learning for humans
$ npx skills add keras-team/kerasONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
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$ npx skills add Unity-Technologies/ml-agentsRun, manage, and scale AI workloads on any AI infrastructure. Use one system to access & manage all AI compute (Kubernetes, Slurm, 20+ clouds, on-prem).
$ npx skills add skypilot-org/skypilot邱锡鹏《神经网络与深度学习》(蒲公英书)理论书 v2 与通识版
$ npx skills add nndl/nndl12 Weeks, 24 Lessons, AI for All!
$ npx skills add microsoft/AI-For-BeginnersGoogle Research
$ npx skills add google-research/google-research⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
$ npx skills add ageron/handson-mlThe fastai deep learning library
$ npx skills add fastai/fastaiImplement a ChatGPT-like LLM in PyTorch from scratch, step by step
$ npx skills add rasbt/LLMs-from-scratchFree MLOps course from DataTalks.Club
$ npx skills add DataTalksClub/mlops-zoomcampA collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM 3, and Qwen3-VL.
$ npx skills add roboflow/notebooks🤗 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/rayHow 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 Deeplearning.AI Notes 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.