Deep Reinforcement Learning for Keras.
$ npx skills add keras-rl/keras-rlAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Provide an input CSV and a target field to predict, generate a model + code to run it.
Deep Reinforcement Learning for Keras.
$ npx skills add keras-rl/keras-rlTensorFlow-based neural network library
$ npx skills add google-deepmind/sonneta machine learning image inpainting task that instinctively removes watermarks from image indistinguishable from the ground truth image
$ npx skills add zuruoke/watermark-removalLazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
$ npx skills add shankarpandala/lazypredictAutoML library for deep learning
$ npx skills add keras-team/autokerasPretrain, 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/kerasPython for《Deep Learning》,该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现
$ npx skills add MingchaoZhu/DeepLearningA Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
$ npx skills add tensorpack/tensorpackDatasets, Transforms and Models specific to Computer Vision
$ npx skills add pytorch/visionA list of popular github projects related to deep learning
$ npx skills add aymericdamien/TopDeepLearningChatterBot is a machine learning, conversational dialog engine for creating chat bots
$ npx skills add gunthercox/ChatterBotNLTK Source
$ npx skills add nltk/nltkA hyperparameter optimization framework
$ npx skills add optuna/optunaDeep learning library featuring a higher-level API for TensorFlow.
$ npx skills add tflearn/tflearnA python library for user-friendly forecasting and anomaly detection on time series.
$ npx skills add unit8co/dartsHow 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 Automl Gs 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.