ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
$ npx skills add microsoft/onnxruntimeAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Code Repository for Machine Learning with PyTorch and Scikit-Learn
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
$ npx skills add microsoft/onnxruntimeCLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
$ npx skills add openai/CLIPPretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
$ npx skills add Lightning-AI/pytorch-lightningDeep Learning for humans
$ npx skills add keras-team/keras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/nndlGoogle Research
$ npx skills add google-research/google-researchThe fastai deep learning library
$ npx skills add fastai/fastaiA game theoretic approach to explain the output of any machine learning model.
$ npx skills add shap/shapFree MLOps course from DataTalks.Club
$ npx skills add DataTalksClub/mlops-zoomcampUltralytics YOLOv5 in PyTorch > ONNX > CoreML > TFLite
$ npx skills add ultralytics/yolov5🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
$ npx skills add labmlai/annotated_deep_learning_paper_implementationsThe Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.
$ npx skills add Unity-Technologies/ml-agentsA python library for user-friendly forecasting and anomaly detection on time series.
$ npx skills add unit8co/darts12 Weeks, 24 Lessons, AI for All!
$ npx skills add microsoft/AI-For-Beginners⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
$ npx skills add ageron/handson-mlDeep universal probabilistic programming with Python and PyTorch
$ npx skills add pyro-ppl/pyroHow 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 Book 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
Code Repository for Machine Learning with PyTorch and Scikit-Learn
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
$ npx skills add microsoft/onnxruntimeCLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
$ npx skills add openai/CLIPPretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
$ npx skills add Lightning-AI/pytorch-lightningDeep Learning for humans
$ npx skills add keras-team/keras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/nndlGoogle Research
$ npx skills add google-research/google-researchThe fastai deep learning library
$ npx skills add fastai/fastaiA game theoretic approach to explain the output of any machine learning model.
$ npx skills add shap/shapFree MLOps course from DataTalks.Club
$ npx skills add DataTalksClub/mlops-zoomcampUltralytics YOLOv5 in PyTorch > ONNX > CoreML > TFLite
$ npx skills add ultralytics/yolov5🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
$ npx skills add labmlai/annotated_deep_learning_paper_implementationsThe Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.
$ npx skills add Unity-Technologies/ml-agentsA python library for user-friendly forecasting and anomaly detection on time series.
$ npx skills add unit8co/darts12 Weeks, 24 Lessons, AI for All!
$ npx skills add microsoft/AI-For-Beginners⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
$ npx skills add ageron/handson-mlDeep universal probabilistic programming with Python and PyTorch
$ npx skills add pyro-ppl/pyroHow 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 Book 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.