Deep Learning for humans
$ npx skills add keras-team/kerasAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Supercharge Your Model Training
Deep Learning for humans
$ npx skills add keras-team/kerasONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
$ npx skills add microsoft/onnxruntimePretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
$ npx skills add Lightning-AI/pytorch-lightningUltralytics 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_implementationsTensors and Dynamic neural networks in Python with strong GPU acceleration
$ npx skills add pytorch/pytorch🐍 Geometric Computer Vision Library for Spatial AI
$ npx skills add kornia/korniaDeep universal probabilistic programming with Python and PyTorch
$ npx skills add pyro-ppl/pyroAn Open Source Machine Learning Framework for Everyone
$ npx skills add tensorflow/tensorflow⛔️ 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/fastaiPArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)
$ npx skills add PaddlePaddle/PaddleThe 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 WebGL accelerated JavaScript library for training and deploying ML models.
$ npx skills add tensorflow/tfjs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/nndl🤗 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/transformersHow 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 Composer 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
Supercharge Your Model Training
Deep Learning for humans
$ npx skills add keras-team/kerasONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
$ npx skills add microsoft/onnxruntimePretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
$ npx skills add Lightning-AI/pytorch-lightningUltralytics 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_implementationsTensors and Dynamic neural networks in Python with strong GPU acceleration
$ npx skills add pytorch/pytorch🐍 Geometric Computer Vision Library for Spatial AI
$ npx skills add kornia/korniaDeep universal probabilistic programming with Python and PyTorch
$ npx skills add pyro-ppl/pyroAn Open Source Machine Learning Framework for Everyone
$ npx skills add tensorflow/tensorflow⛔️ 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/fastaiPArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)
$ npx skills add PaddlePaddle/PaddleThe 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 WebGL accelerated JavaScript library for training and deploying ML models.
$ npx skills add tensorflow/tfjs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/nndl🤗 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/transformersHow 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 Composer 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.