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Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft

Blame someone else for your bad code.

Find notebook examples and report bugs for the isozero SDK.

A Keras port of Single Shot MultiBox Detector

The fastai book, published as Jupyter Notebooks

materials from generative AI workshop "Jak použít AI nástroje na generování textu a obrázků"

A unified framework for machine learning with time series

Python sample application that loads a sheet, updates selected cells, and saves the results

A Power BI template that provides easy to understand, actionable flow metrics and predictive analytics for your agile teams using Azure DevOps, Azure DevOps Server and/or TFS.

Examples and guides for using the OpenAI API

This is a repo with links to everything you'd ever want to learn about data engineering

Leveraging BERT and c-TF-IDF to create easily interpretable topics.

Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry thr…

Scalable and user friendly neural 🧠 forecasting algorithms.

💡 Adversarial attacks on explanations and how to defend them

OmniXAI: A Library for eXplainable AI

Human-explainable AI.

Interpretability and explainability of data and machine learning models

A collection of research materials on explainable AI/ML

Best Practices on Recommendation Systems

ChatRWKV is like ChatGPT but powered by RWKV (100% RNN) language model, and open source.

Simon is a Python library that helps made easy the browser automation for WhatsApp Web service

Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

Low-code framework for building custom LLMs, neural networks, and other AI models

Power CLI and Workflow manager for LLMs (core package)

Techniques for deep learning with satellite & aerial imagery

Recurrent Video Restoration Transformer with Guided Deformable Attention (NeurlPS2022, official repository)

Robust Speech Recognition via Large-Scale Weak Supervision