A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
$ npx skills add tensorpack/tensorpackAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Deep Reinforcement Learning for Keras.
A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
$ npx skills add tensorpack/tensorpackTensorFlow-based neural network library
$ npx skills add google-deepmind/sonnetDeep Learning for humans
$ npx skills add keras-team/kerasGoogle DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
$ npx skills add google-deepmind/dm_controla machine learning image inpainting task that instinctively removes watermarks from image indistinguishable from the ground truth image
$ npx skills add zuruoke/watermark-removalProvide an input CSV and a target field to predict, generate a model + code to run it.
$ npx skills add minimaxir/automl-gsJAX-based neural network library
$ npx skills add google-deepmind/dm-haiku机器学习相关教程
$ npx skills add MorvanZhou/tutorialsHummingbird compiles trained ML models into tensor computation for faster inference.
$ npx skills add microsoft/hummingbirdClassic papers and resources on recommendation
$ npx skills add wzhe06/Reco-papersPretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
$ npx skills add Lightning-AI/pytorch-lightningRun Keras models in the browser, with GPU support using WebGL
$ npx skills add transcranial/keras-jsStarCraft II Learning Environment
$ npx skills add google-deepmind/pysc2Datasets, 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-baselines3A list of popular github projects related to deep learning
$ npx skills add aymericdamien/TopDeepLearningHow 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.