Showing 1-20 of 32 projects
Collection of strings that can cause issues in user-input data for QA testing
A comprehensive collection of deep learning, reinforcement learning, and machine learning resources for vibe coders.
Open-source vulnerable web application for security testing and learning purposes.
A powerful web presentation tool that enables developers to create beautiful slides using HTML, CSS, and JavaScript.
This is a collection of password wordlists sorted by probability, useful for password generation and testing.
A detailed guide for undergraduate students or anyone wanting to dive into the field of AI with a solid foundation.
A comprehensive guide to start and improve in machine learning and AI, covering the latest techniques and tools.
Probabilistic reasoning and statistical analysis tools built on TensorFlow for data scientists and ML researchers.
A book that provides a programmer's introduction to mathematics, covering topics like probability, calculus, and linear algebra.
A Jupyter Notebook-based resource covering the essentials of probability and statistics, relevant for machine learning.
A comprehensive probability cheatsheet covering a semester's worth of introduction to probability.
A high-performance PHP web framework that can be used for building fast and scalable web applications.
Powerful math library for PHP with features like statistics, probability distributions, linear algebra, and more.
A comprehensive compendium of resources for machine learning and deep learning development.
A simple implementation of the Denoising Diffusion Probability Model (DDPM) for training a U-Net on the CIFAR-10 dataset.
Go library for scientific computing, numerical analysis, and data visualization tools for developers.
A TypeScript library for controlling and visualizing map-based vacuum cleaners in Home Assistant.
This is the website for Bloomberg Beta, a venture capital firm that focuses on AI-powered developer tools.
This is a code repository for the book 'Think Bayes', which covers Bayesian probability and statistics.
A tutorial for deep learning researchers to understand the basics of distribution probability.
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