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Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
31K starsJun 10, 2026 pushml-automationPythonMachine Learning
$ npx skills add Lightning-AI/pytorch-lightningAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
$ npx skills add Lightning-AI/pytorch-lightningPyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
$ npx skills add DLR-RM/stable-baselines3Deep Learning for humans
$ npx skills add keras-team/kerasThe 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/visionNLTK 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/dartsDeep universal probabilistic programming with Python and PyTorch
$ npx skills add pyro-ppl/pyroCore ML tools contain supporting tools for Core ML model conversion, editing, and validation.
$ npx skills add apple/coremltoolsThe fastai deep learning library
$ npx skills add fastai/fastaiUltralytics 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/server:book: [译] scikit-learn（sklearn） 中文文档
$ npx skills add apachecn/sklearn-doc-zhUltralytics 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 Trlx 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.