Alternatives

Cuml alternatives for AI agents.

Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.

Current skill

Cuml

cuML - RAPIDS Machine Learning Library

100
Quality
87
Trust
5.2K
Stars
#1

Pytorch Lightning

Similarity 141Trust 89Excellent 100

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-lightning
#2

Face Recognition

Similarity 140Trust 84Excellent 100

The world's simplest facial recognition api for Python and the command line

57K starsJun 25, 2026 pushml-automationPythonMachine Learning
$ npx skills add ageitgey/face_recognition
#3

Pytorch

Similarity 140Trust 83Excellent 100

Tensors and Dynamic neural networks in Python with strong GPU acceleration

101K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add pytorch/pytorch
#4

Vision

Similarity 139Trust 87Excellent 100

Datasets, Transforms and Models specific to Computer Vision

18K starsJun 15, 2026 pushml-automationPythonMachine Learning
$ npx skills add pytorch/vision
#5

Nltk

Similarity 139Trust 87Excellent 100

NLTK Source

15K starsJun 11, 2026 pushml-automationPythonMachine Learning
$ npx skills add nltk/nltk
#6

Optuna

Similarity 139Trust 87Excellent 100

A hyperparameter optimization framework

14K starsJun 12, 2026 pushml-automationPythonMachine Learning
$ npx skills add optuna/optuna
#7

Server

Similarity 139Trust 89Excellent 100

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
#8

Darts

Similarity 138Trust 88Excellent 99

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
#9

Scikit Llm

Similarity 137Trust 87Excellent 100

Seamlessly integrate LLMs into scikit-learn.

3.5K starsOct 1, 2026 pushml-automationPythonMachine Learning
$ npx skills add BeastByteAI/scikit-llm
#10

Fastai

Similarity 134Trust 87Excellent 100

The fastai deep learning library

28K starsMay 20, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add fastai/fastai
#11

DeepSpeed

Similarity 133Trust 89Excellent 100

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

43K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add deepspeedai/DeepSpeed
#12

Keras

Similarity 133Trust 87Excellent 100

Deep Learning for humans

64K starsJun 12, 2026 pushml-automationPythonMachine Learning
$ npx skills add keras-team/keras
#13

Open3D

Similarity 132Trust 83Excellent 97

Open3D: A Modern Library for 3D Data Processing

14K starsJun 16, 2026 pushml-automationC++Machine Learning
$ npx skills add isl-org/Open3D
#14

Stable Baselines3

Similarity 131Trust 89Excellent 100

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

13K starsJun 15, 2026 pushml-automationPythonMachine Learning
$ npx skills add DLR-RM/stable-baselines3
#15

Tvm

Similarity 131Trust 88Excellent 100

Open Machine Learning Compiler Framework

14K starsSep 10, 2026 pushml-automationPythonMachine Learning
$ npx skills add apache/tvm
#16

Skypilot

Similarity 131Trust 89Excellent 100

Run, manage, and scale AI workloads on any AI infrastructure. Use one system to access & manage all AI compute (Kubernetes, Slurm, 20+ clouds, on-prem).

10K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add skypilot-org/skypilot

How 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 Cuml 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.