TensorFlow-based neural network library
$ npx skills add google-deepmind/sonnetAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
TensorFlow-based neural network library
$ npx skills add google-deepmind/sonnetPretrain, 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/kerasA Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
$ npx skills add tensorpack/tensorpack🐍 Geometric Computer Vision Library for Spatial AI
$ npx skills add kornia/korniaStanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
$ npx skills add stanfordnlp/stanzaLearning to Learn in TensorFlow
$ npx skills add google-deepmind/learning-to-learnA Python package for segmenting geospatial data with the Segment Anything Model (SAM)
$ npx skills add opengeos/segment-geospatialProbabilistic time series modeling in Python
$ npx skills add awslabs/gluontsJAX-based neural network library
$ npx skills add google-deepmind/dm-haikuThe 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-agentsClassic papers and resources on recommendation
$ npx skills add wzhe06/Reco-papers💫 Industrial-strength Natural Language Processing (NLP) in Python
$ npx skills add explosion/spaCy🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
$ npx skills add huggingface/datasets🧑🏫 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/pytorchHow 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 Dm Control 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.