Alternatives

Llm Applications alternatives for AI agents.

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

Current skill

Llm Applications

A comprehensive guide to building RAG-based LLM applications for production.

73
Quality
85
Trust
1.9K
Stars
#1

Llama Cookbook

Similarity 133Trust 98Excellent 100

Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama model family and using them on various provider services

18K starsMay 19, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add meta-llama/llama-cookbook
#2

Stable Baselines3

Similarity 127Trust 98Excellent 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
#3

Ludwig

Similarity 127Trust 98Excellent 100

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
#4

ML For Beginners

Similarity 126Trust 96Excellent 100

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

87K starsJun 9, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add microsoft/ML-For-Beginners
#5

AI For Beginners

Similarity 126Trust 96Excellent 100

12 Weeks, 24 Lessons, AI for All!

48K starsJun 11, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add microsoft/AI-For-Beginners
#6

Google Research

Similarity 126Trust 96Excellent 100

Google Research

38K starsJun 16, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add google-research/google-research
#7

CLIP

Similarity 126Trust 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
#8

Handson Ml

Similarity 126Trust 97Excellent 100

⛔️ 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

Fastai

Similarity 126Trust 96Excellent 100

The fastai deep learning library

28K starsMay 20, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add fastai/fastai
#10

Shap

Similarity 125Trust 95Excellent 100

A game theoretic approach to explain the output of any machine learning model.

26K starsJun 15, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add shap/shap
#11

LLMs From Scratch

Similarity 125Trust 92Excellent 100

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

97K starsJun 2, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add rasbt/LLMs-from-scratch
#12

Learning

Similarity 125Trust 94Excellent 100

A log of things I'm learning

6.9K starsMay 31, 2026 pushml-automationMachine LearningClaude Code
$ npx skills add amitness/learning
#13

Serving

Similarity 125Trust 94Excellent 100

A flexible, high-performance serving system for machine learning models

6.4K starsJun 15, 2026 pushml-automationC++Machine Learning
$ npx skills add tensorflow/serving
#14

Awesome Prompt Engineering

Similarity 125Trust 94Excellent 100

This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc

6.0K starsJun 14, 2026 pushml-automationTypeScriptMachine Learning
$ npx skills add promptslab/Awesome-Prompt-Engineering
#15

Pytorch Deep Learning

Similarity 124Trust 92Excellent 100

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

18K starsFeb 11, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add mrdbourke/pytorch-deep-learning
#16

ML NLP

Similarity 124Trust 91Excellent 100

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。

18K starsJan 9, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add NLP-LOVE/ML-NLP

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 Llm Applications 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.