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University of British Columbia
- Edinburgh, UK
Highlights
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Stars
Emacs package to render LaTeX math blocks in code comments as overlays
Advanced, modular, coupled geomorpohology simulator for real-time procedural terrain generation.
RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RN…
A markup-based typesetting system that is powerful and easy to learn.
A modern, C++-native, test framework for unit-tests, TDD and BDD - using C++14, C++17 and later (C++11 support is in v2.x branch, and C++03 on the Catch1.x branch)
Open Source codebase of the game Overgrowth by Wolfire Games LLC
Convenient, high-performance RGB color and position control for console output
A cheatsheet of modern C++ language and library features.
Guarantees on the behavior of neural networks don't always have to come at the cost of performance.
A simple and easy-to-use library to enjoy videogames programming
Cinder is a community-developed, free and open source library for professional-quality creative coding in C++.
Run compute jobs on AWS as if you were running them locally.
A general purpose YNAB enhancing browser extension for Chrome and Firefox. Have it your way!
This unofficial extension integrates Draw.io (also known as diagrams.net) into VS Code.
An open-source blog for quality content about coding.
Fast Static Symbol Table (FSST): efficient random-access string compression
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
Microsoft PowerToys is a collection of utilities that supercharge productivity and customization on Windows
Grid studio is a web-based application for data science with full integration of open source data science frameworks and languages.
a reimplementation of LiteFlowNet in PyTorch that matches the official Caffe version
Data science teaching materials
BibTeX citations for Python and common (machine learning) packages.
📈 Adaptive: parallel active learning of mathematical functions