#1
12 Weeks, 24 Lessons, AI for All!
48K starsJun 11, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add microsoft/AI-For-BeginnersAlternatives
Leedl Tutorial alternatives for AI agents.
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
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Leedl Tutorial
《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases
92
Quality
86
Trust
17K
Stars
#2
🧑🏫 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#3
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#4
⛔️ 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#5
The fastai deep learning library
28K starsMay 20, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add fastai/fastai#6
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#7
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#8
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#9
A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM 3, and Qwen3-VL.
9.5K starsMay 21, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add roboflow/notebooks#10
22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.
7.6K starsJun 11, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add NirDiamant/Prompt_Engineering#11
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
162K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add huggingface/transformers#12
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
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#14
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#15
Deep Learning for humans
64K starsJun 12, 2026 pushml-automationPythonMachine Learning
$ npx skills add keras-team/keras#16
Ultralytics YOLOv5 in PyTorch > ONNX > CoreML > TFLite
58K starsJun 12, 2026 pushml-automationPythonMachine Learning
$ npx skills add ultralytics/yolov5How 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 Leedl Tutorial if it already passes your workflow test and repository review.
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Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.