#1
12 Weeks, 24 Lessons, AI for All!
48K starsJun 11, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add microsoft/AI-For-BeginnersAlternatives
Fsrs4anki alternatives for AI agents.
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Fsrs4anki
A modern Anki custom scheduling based on Free Spaced Repetition Scheduler algorithm
100
Quality
93
Trust
4.0K
Stars
#2
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#3
⛔️ 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#4
The fastai deep learning library
28K starsMay 20, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add fastai/fastai#5
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#6
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#7
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#8
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#9
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#10
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#11
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
6.1K starsJun 12, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add timeseriesAI/tsai#12
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
7.5K starsDec 28, 2025 pushml-automationJupyter NotebookMachine Learning
$ npx skills add greyhatguy007/Machine-Learning-Specialization-Coursera#13
TensorFlow documentation
6.3K starsMay 12, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add tensorflow/docs#14
AI实战-practicalAI 中文版
6.9K starsApr 2, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add MLEveryday/practicalAI-cn#15
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#16
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/FLAMLHow 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 Fsrs4anki 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.