.bashrc

Open source common API for all "second gen" AutoML APIs: Auger.AI, Google Cloud AutoML and Azure AutoML

A Python package for Bayesian A/B Testing

Official code implementation for the paper "Active Finetuning: Exploiting Annotation Budget in the Pretraining-Finetuning Paradigm" (CVPR 2023)

PyTorch library for Active Fine-Tuning

Master Thesis implementation of association rules on GPU

An optimizer that trains as fast as Adam and as good as SGD.

Google Agent - Analsysis ADK Ops

Little More Advanced TensorFlow Implementations

advertools - online marketing productivity and analysis tools - in dash

Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]

Agent OS is a system for better planning and executing software development tasks with your AI agents.

Agent Laboratory is an end-to-end autonomous research workflow meant to assist you as the human researcher toward implementing your research ideas

A tutorial (+ build recipes) describing how to use conda for C, C++, and python package management

Colab Notebooks for Tutorials from Marktechpost

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.

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

AIStore: scalable storage for AI applications

Algorithms in python and C

Algorithms Notes with LeetCode Solutions

solutions to popular interview questions