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Deep Learning for humans
64K starsJun 12, 2026 pushml-automationPythonMachine Learning
$ npx skills add keras-team/kerasAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Deep Reinforcement Learning for Keras.
Deep Learning for humans
$ npx skills add keras-team/kerasPretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
$ npx skills add Lightning-AI/pytorch-lightningThe world's simplest facial recognition api for Python and the command line
$ npx skills add ageitgey/face_recognitionDatasets, Transforms and Models specific to Computer Vision
$ npx skills add pytorch/visionPyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
$ npx skills add DLR-RM/stable-baselines3NLTK Source
$ npx skills add nltk/nltkA hyperparameter optimization framework
$ npx skills add optuna/optunaA python library for user-friendly forecasting and anomaly detection on time series.
$ npx skills add unit8co/dartsCore ML tools contain supporting tools for Core ML model conversion, editing, and validation.
$ npx skills add apple/coremltoolsAn Open Source Machine Learning Framework for Everyone
$ npx skills add tensorflow/tensorflowThe 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-agents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/nndlTensors and Dynamic neural networks in Python with strong GPU acceleration
$ npx skills add pytorch/pytorchOpen standard for machine learning interoperability
$ npx skills add onnx/onnxThe Triton Inference Server provides an optimized cloud and edge inferencing solution.
$ npx skills add triton-inference-server/serverUltralytics YOLOv3 in PyTorch > ONNX > CoreML > TFLite
$ npx skills add ultralytics/yolov3How 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 Rl 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.