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
Run Keras models in the browser, with GPU support using WebGL
Deep 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/nndlVisualizer for neural network, deep learning and machine learning models
$ npx skills add lutzroeder/netronPretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
$ npx skills add Lightning-AI/pytorch-lightningCLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
$ npx skills add openai/CLIPAn Open Source Machine Learning Framework for Everyone
$ npx skills add tensorflow/tensorflow🧑🏫 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_implementationsONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
$ npx skills add microsoft/onnxruntimeOpen standard for machine learning interoperability
$ npx skills add onnx/onnxThe 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/tfjsOpen Machine Learning Compiler Framework
$ npx skills add apache/tvmA python library for user-friendly forecasting and anomaly detection on time series.
$ npx skills add unit8co/darts🤗 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/DeepSpeedHow 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 Keras Js 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
Run Keras models in the browser, with GPU support using WebGL
Deep 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/nndlVisualizer for neural network, deep learning and machine learning models
$ npx skills add lutzroeder/netronPretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
$ npx skills add Lightning-AI/pytorch-lightningCLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
$ npx skills add openai/CLIPAn Open Source Machine Learning Framework for Everyone
$ npx skills add tensorflow/tensorflow🧑🏫 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_implementationsONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
$ npx skills add microsoft/onnxruntimeOpen standard for machine learning interoperability
$ npx skills add onnx/onnxThe 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/tfjsOpen Machine Learning Compiler Framework
$ npx skills add apache/tvmA python library for user-friendly forecasting and anomaly detection on time series.
$ npx skills add unit8co/darts🤗 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/DeepSpeedHow 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 Keras Js 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.