Stars
A tool to detect potentially hallucinated or fabricated references in academic PDF papers.
A native macOS client for Hacker News, built with SwiftUI
Timeful (formerly Schej) is a scheduling platform helps you find the best time for a group to meet. It is a free availability poll that is easy to use and integrates with your calendar.
Source code for https://nature.com/articles/s41467-019-10933-3
A Julia implementation of choice sequence based PBT, inspired by Hypothesis
Measure and calibrate operational privacy risks for differentially private algorithms.
Documentation for the OpenSAFELY platform
P2P terminal game about spacepirates playing basketball across the galaxy
Professionally crafted React & Figma components for building beautiful products or starting your own design system
Fast, memory-efficient, scalable optimization of deep learning with differential privacy
Modelling human health trajectories using generative transformers
Python package to extract individual applications from a combined CoreHR PDF file
Create, manage, and run Jupyter notebooks with their dependencies
A typeface family associated with the Funnel service product for marketers and data teams.
Fairness toolkit for pytorch, scikit learn and autogluon
A simple & elegant experiment tracking framework that integrates persistence logic & best practices directly into Python
The first differentially-private diffusion model for tabular data
A Julia package to estimate discrete entropy and mutual information
A library providing general-purpose tools for estimating discrete distributions from noisy observations of their marginals.
Powerful system-level package manager for Linux, macOS and Windows written in Rust – building on top of the Conda ecosystem.
A curated list of Quarto talks, tools, examples & articles! Contributions welcome!
⚙️ All-in-One menu bar app, hide 💻MacBook Pro's notch, dark mode, AirPods, Shortcuts
Ultimate PDF Presentation Tool for macOS 🖥
aider is AI pair programming in your terminal
DSPy: The framework for programming—not prompting—language models