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SF3D: Stable Fast 3D Mesh Reconstruction with UV-unwrapping and Illumination Disentanglement
catch22: CAnonical Time-series CHaracteristics
Generative Agents: Interactive Simulacra of Human Behavior
System prompts from Apple's new Apple Intelligence on MacOS Sequoia
Loss function which directly targets ROC-AUC
Probabilistic time series modeling in Python
Interpretability and explainability of data and machine learning models
Lime: Explaining the predictions of any machine learning classifier
ZenML π: The bridge between ML and Ops. https://zenml.io.
π A ranked list of awesome machine learning Python libraries. Updated weekly.
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable,β¦
A secure authentication module to manage user access in a Streamlit application.
Dependency injection framework for Python
The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!
Missing data visualization module for Python.
π« Industrial-strength Natural Language Processing (NLP) in Python
A Keras library for multi-step time-series forecasting.
π€ The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
Build and share delightful machine learning apps, all in Python. π Star to support our work!
Includes functions to perform spatial hierarchical agglomerative clustering, especially designed to cluster neuroimaging data.
Python packaging and dependency management made easy
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
βοΈ DEPRECATED β See https://github.com/ageron/handson-ml3 instead.