#1
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
Benchm Ml alternatives for AI agents.
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Benchm Ml
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
73
Quality
82
Trust
1.9K
Stars
#2
Deep Learning for humans
64K starsJun 12, 2026 pushml-automationPythonMachine Learning
$ npx skills add keras-team/keras#3
A python library for user-friendly forecasting and anomaly detection on time series.
9.4K starsJun 6, 2026 pushml-automationPythonMachine Learning
$ npx skills add unit8co/darts#4
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
43K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add ray-project/ray#5
An Open Source Machine Learning Framework for Everyone
196K starsJun 16, 2026 pushml-automationC++Machine Learning
$ npx skills add tensorflow/tensorflow#6
PArallel 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）
24K starsJun 16, 2026 pushml-automationC++Machine Learning
$ npx skills add PaddlePaddle/Paddle#7
💫 Industrial-strength Natural Language Processing (NLP) in Python
34K starsMay 19, 2026 pushml-automationPythonMachine Learning
$ npx skills add explosion/spaCy#8
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
26K starsMay 19, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add ageron/handson-ml#9
The fastai deep learning library
28K starsMay 20, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add fastai/fastai#10
Tensors and Dynamic neural networks in Python with strong GPU acceleration
101K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add pytorch/pytorch#11
A toolkit for making real world machine learning and data analysis applications in C++
14K starsMay 7, 2026 pushml-automationC++Machine Learning
$ npx skills add davisking/dlib#12
Low-code framework for building custom LLMs, neural networks, and other AI models
12K starsJun 15, 2026 pushml-automationPythonMachine Learning
$ npx skills add ludwig-ai/ludwig#13
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
11K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add wandb/wandb#14
The Triton Inference Server provides an optimized cloud and edge inferencing solution.
11K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add triton-inference-server/server#15
Ultralytics YOLOv3 in PyTorch > ONNX > CoreML > TFLite
11K starsJun 15, 2026 pushml-automationPythonMachine Learning
$ npx skills add ultralytics/yolov3#16
Fast and Accurate ML in 3 Lines of Code
10K starsJun 15, 2026 pushml-automationPythonMachine Learning
$ npx skills add autogluon/autogluonHow to choose
When should you switch?
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 Benchm Ml if it already passes your workflow test and repository review.
Next step
Compare top candidates side by side
Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.