Adrin Jalali

scikit-learn: machine learning in Python

No description.

A Python package that implements a variety of algorithms that mitigate unfairness in supervised machine learning.

No description.

A library to use `modal` as a backend for `joblib`.

A list of accounts / agents which you might want to block on your org to keep AI spam out.

An MCP server giving guidelines on statistical machine learning workflows.

Clue-WATTx hackathon

Fetch data from adwords and store it in a local database.

Scikit-learn wrapper for onnxruntime

My public website.

Testing Context 7 in the data science context ;)

research on network related classification

My PhD Thesis

A distributed task scheduler for Dask

Parallel computing with task scheduling

Computing with Python functions.

A scikit-learn compatible neural network library that wraps PyTorch

No description.

The Python programming language

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

No description.

The open source developer platform to build AI/LLM applications and models with confidence. Enhance your AI applications with end-to-end tracking, observability, and evaluations, all in one integrated platform.

A conda-smithy repository for skops.

Deep Learning for humans

The fundamental package for scientific computing with Python.

Keras documentation, hosted live at keras.io

Hosting the scikit-learn blog.

Python client library for Modal

No description.

Skore lets you "Own Your Data Science." It provides a user-friendly interface to track and visualize your modeling results, and perform evaluation of your machine learning models with scikit-learn.

Enhancement proposals for scikit-learn: structured discussions and rational for large additions and modifications

Scikit-Learn API wrapper for Keras.

A conda-smithy repository for fairlearn.

An extremely fast Python linter and code formatter, written in Rust.

No description.

Example implementations of quantum computing algorithms.

Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and algorithms.

Microarray - KernelMethods

NICK Posters

No description.

📝 Utility to create, edit, and publish model cards on the Hugging Face Hub.

Memray is a memory profiler for Python

No description.

The privML Privacy Evaluator is a tool that assesses ML model's levels of privacy by running different attacks on it.

a tool that leverages rich metadata and lineage information in MLMD to build a model card

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

Project management related documents for scikit-learn

Convert scikit-learn models and pipelines to ONNX

Productionize machine learning predictions, with ONNX or without - http://www.xavierdupre.fr/app/mlprodict/helpsphinx/index.html

Speaker slides from monthly meetups and conference

A template for scikit-learn extensions

example repository for github tutorials

Defines the specifications of the protocol and the platform

Building Fair AI models tutorial at PyData Berlin / REVISION 2018

A library for read and write ARFF files in Python

Static site generator that supports Markdown and reST syntax. Powered by Python.

Portage Package Manager - this is just a mirror, send patches to <[email protected]>

Non-Intrusive Load Monitoring Toolkit (nilmtk)

This is now the official location of the Merlin project.

A framework for training and evaluating AI models on a variety of openly available dialog datasets.