OPENAGENTSKILL / DIRECTORY
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Results: 111
shap
A game theoretic approach to explain the output of any machine learning model.
davisking
A toolkit for making real world machine learning and data analysis applications in C++
h2oai
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeli…
timeseriesAI
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
rasbt
A library of extension and helper modules for Python's data analysis and machine learning libraries.
dusty-nv
Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
PAIR-code
The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.
MAIF
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
GoogleCloudPlatform
Notebooks, code samples and reference for machine learning and generative ai on Google Cloud for the Advanced Solutions Lab (ASL) bootcamps.
techiescamp
A roadmap to learn Kubernetes from scratch (Beginner to Advanced level)
gradio-app
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
lukasmasuch
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Owner-curated external sources. Not filtered by the scores or compatibility controls above; excluded from GitHub rankings and automatic installation.
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