Alternatives

Awesome Machine Learning On Source Code alternatives for AI agents.

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

Current skill

Awesome Machine Learning On Source Code

Cool links & research papers related to Machine Learning applied to source code (MLonCode)

79
Quality
83
Trust
6.6K
Stars
#1

Anomaly Detection Resources

Similarity 133Trust 93Excellent 100

Anomaly detection related books, papers, videos, and toolboxes. Last update late 2025 for LLM and VLM works!

9.3K starsMar 2, 2026 pushml-automationPythonMachine Learning
$ npx skills add yzhao062/anomaly-detection-resources
#2

Useful Java Links

Similarity 131Trust 88Excellent 98

A list of useful Java frameworks, libraries, software and hello worlds examples

6.2K starsMay 8, 2026 pushml-automationJavaMachine Learning
$ npx skills add Vedenin/useful-java-links
#3

Awesome Deep Learning Resources

Similarity 131Trust 82Strong 73

Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier

1.8K starsJan 18, 2024 pushml-automationMachine LearningClaude Code
$ npx skills add guillaume-chevalier/Awesome-Deep-Learning-Resources
#4

Pytorch Lightning

Similarity 128Trust 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
#5

Xgboost

Similarity 128Trust 98Excellent 100

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

28K starsJun 16, 2026 pushml-automationC++Machine Learning
$ npx skills add dmlc/xgboost
#6

CLIP

Similarity 128Trust 96Excellent 100

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

34K starsMar 25, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add openai/CLIP
#7

Google Research

Similarity 128Trust 95Excellent 100

Google Research

38K starsJun 16, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add google-research/google-research
#8

Awesome Project Ideas

Similarity 128Trust 83Strong 80

Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas

9.1K starsMar 13, 2023 pushml-automationMachine LearningClaude Code
$ npx skills add NirantK/awesome-project-ideas
#9

Llm Course

Similarity 128Trust 94Excellent 100

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

80K starsFeb 5, 2026 pushml-automationMachine LearningClaude Code
$ npx skills add mlabonne/llm-course
#10

Modular

Similarity 127Trust 91Excellent 100

The Modular Platform (includes MAX & Mojo)

26K starsJun 16, 2026 pushml-automationMojoMachine Learning
$ npx skills add modular/modular
#11

Vision

Similarity 127Trust 95Excellent 100

Datasets, Transforms and Models specific to Computer Vision

18K starsJun 15, 2026 pushml-automationPythonMachine Learning
$ npx skills add pytorch/vision
#12

ChatterBot

Similarity 127Trust 96Excellent 100

ChatterBot is a machine learning, conversational dialog engine for creating chat bots

14K starsMar 24, 2026 pushml-automationPythonMachine Learning
$ npx skills add gunthercox/ChatterBot
#13

Ggml

Similarity 127Trust 95Excellent 100

Tensor library for machine learning

15K starsJun 15, 2026 pushml-automationC++Machine Learning
$ npx skills add ggml-org/ggml
#14

Nltk

Similarity 126Trust 95Excellent 100

NLTK Source

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

Pumpkin Book

Similarity 126Trust 89Excellent 100

南瓜书:《机器学习》(西瓜书)公式详解

26K starsApr 22, 2026 pushml-automationMachine LearningClaude Code
$ npx skills add datawhalechina/pumpkin-book
#16

Optuna

Similarity 126Trust 95Excellent 100

A hyperparameter optimization framework

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

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 Awesome Machine Learning On Source Code 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.