Understand Anything
Egonex-AI
Graphs that teach > graphs that impress. Turn any code into an interactive knowledge graph you can explore, search, and ask questions about. Works with Claude Code, Code…
75.1KGitHub
OPENAGENTSKILL / DIRECTORY
AI Agent Skills
Find a skill for your next task. Explore tools for Codex, Claude Code, Cursor and more.
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Results · “knowledge-informed-prompt-learning”
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Annotated Deep Learning Paper Implementations
labmlai
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (ad…
Ml AutomationReview before use
66.9KGitHub
Machine Learning Zoomcamp
DataTalksClub
Learn ML engineering for free in 4 months! Register here 👇🏼
Ml AutomationReview before use
13.3KGitHub
Machinelearning
dotnet
ML.NET is an open source and cross-platform machine learning framework for .NET.
Ml AutomationReview before use
9.3KGitHub
Techniques
satellite-image-deep-learning
Techniques for deep learning with satellite & aerial imagery
Ml AutomationReview before use
10.2KGitHub
LightGBM
lightgbm-org
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and…
Ml AutomationReview before use
18.5KGitHub
Tensorflow
tensorflow
An Open Source Machine Learning Framework for Everyone
Ml AutomationReview before use
195.7KGitHub
Transformers
huggingface
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and traini…
Ml AutomationReview before use
161.6KGitHub
ML For Beginners
microsoft
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Ml AutomationReview before use
86.9KGitHub
64.1KGitHub
DeepSpeed
deepspeedai
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Ml AutomationReview before use
42.5KGitHub
Netron
lutzroeder
Visualizer for neural network, deep learning and machine learning models
Ml AutomationReview before use
33.1KGitHub
28KGitHub
Shap
shap
A game theoretic approach to explain the output of any machine learning model.
Ml AutomationReview before use
25.5KGitHub
24.9KGitHub
Paddle
PaddlePaddle
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
Ml AutomationReview before use
24KGitHub
External platform skills
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