Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
$ npx skills add Lightning-AI/pytorch-lightningAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
HandyRL is a handy and simple framework based on Python and PyTorch for distributed reinforcement learning that is applicable to your own environments.
Pretrain, 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/kerasPyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
$ npx skills add DLR-RM/stable-baselines3Deep universal probabilistic programming with Python and PyTorch
$ npx skills add pyro-ppl/pyroThe fastai deep learning library
$ npx skills add fastai/fastaiPArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)
$ npx skills add PaddlePaddle/PaddleUltralytics YOLOv5 in PyTorch > ONNX > CoreML > TFLite
$ npx skills add ultralytics/yolov5Tensors and Dynamic neural networks in Python with strong GPU acceleration
$ npx skills add pytorch/pytorchThe Triton Inference Server provides an optimized cloud and edge inferencing solution.
$ npx skills add triton-inference-server/serverRun, manage, and scale AI workloads on any AI infrastructure. Use one system to access & manage all AI compute (Kubernetes, Slurm, 20+ clouds, on-prem).
$ npx skills add skypilot-org/skypilotUltralytics YOLOv3 in PyTorch > ONNX > CoreML > TFLite
$ npx skills add ultralytics/yolov3🐍 Geometric Computer Vision Library for Spatial AI
$ npx skills add kornia/korniaA 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/coremltoolsModelScope: bring the notion of Model-as-a-Service to life.
$ npx skills add modelscope/modelscopeAn Open Source Machine Learning Framework for Everyone
$ npx skills add tensorflow/tensorflowHow 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 HandyRL 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.