Alternatives

Probability alternatives for AI agents.

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

Current skill

Probability

Probabilistic reasoning and statistical analysis in TensorFlow

100
Quality
91
Trust
4.4K
Stars
#1

Edward

Similarity 170Trust 77Strong 72

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

4.8K starsMar 18, 2024 pushml-automationJupyter NotebookMachine Learning
$ npx skills add blei-lab/edward
#2

Keras

Similarity 152Trust 95Excellent 100

Deep Learning for humans

64K starsJun 12, 2026 pushml-automationPythonMachine Learning
$ npx skills add keras-team/keras
#3

Sonnet

Similarity 141Trust 92Excellent 100

TensorFlow-based neural network library

9.9K starsMay 6, 2026 pushml-automationPythonMachine Learning
$ npx skills add google-deepmind/sonnet
#4

Python Machine Learning Book 2nd Edition

Similarity 141Trust 83Strong 79

The "Python Machine Learning (2nd edition)" book code repository and info resource

7.2K starsOct 1, 2020 pushml-automationJupyter NotebookMachine Learning
$ npx skills add rasbt/python-machine-learning-book-2nd-edition
#5

Gluonts

Similarity 140Trust 92Excellent 100

Probabilistic time series modeling in Python

5.2K starsMay 8, 2026 pushml-automationPythonMachine Learning
$ npx skills add awslabs/gluonts
#6

H2o 3

Similarity 140Trust 97Excellent 100

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

7.5K starsJun 16, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add h2oai/h2o-3
#7

Flux.Jl

Similarity 140Trust 89Excellent 100

Relax! Flux is the ML library that doesn't make you tensor

4.7K starsJun 15, 2026 pushml-automationJuliaMachine Learning
$ npx skills add FluxML/Flux.jl
#8

Docs

Similarity 139Trust 94Excellent 100

TensorFlow documentation

6.3K starsMay 12, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add tensorflow/docs
#9

FLAML

Similarity 139Trust 96Excellent 100

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

4.4K starsJun 15, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add microsoft/FLAML
#10

Machine Learning Book

Similarity 139Trust 94Excellent 100

Code Repository for Machine Learning with PyTorch and Scikit-Learn

5.2K starsJun 15, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add rasbt/machine-learning-book
#11

Tensorwatch

Similarity 138Trust 94Excellent 100

Debugging, monitoring and visualization for Python Machine Learning and Data Science

3.5K starsMar 30, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add microsoft/tensorwatch
#12

Ray

Similarity 136Trust 98Excellent 100

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
#13

Pytorch Lightning

Similarity 136Trust 98Excellent 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
#14

Tensorflow

Similarity 136Trust 95Excellent 100

An Open Source Machine Learning Framework for Everyone

196K starsJun 16, 2026 pushml-automationC++Machine Learning
$ npx skills add tensorflow/tensorflow
#15

SpaCy

Similarity 136Trust 95Excellent 100

💫 Industrial-strength Natural Language Processing (NLP) in Python

34K starsMay 19, 2026 pushml-automationPythonMachine Learning
$ npx skills add explosion/spaCy
#16

Annotated Deep Learning Paper Implementations

Similarity 136Trust 94Excellent 100

🧑‍🏫 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, ... 🧠

67K starsJan 22, 2026 pushml-automationPythonMachine Learning
$ npx skills add labmlai/annotated_deep_learning_paper_implementations

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 Probability 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.