After two successful testnets in 2020 and our mainnet launch within sight, we are happy to announce the launch of Concordium Testnet 3 and to invite testers, developers, and users all over the world to compete to earn up to 10 mil
This is the home of mods for the new Microsoft Flight Simulator from the Working Title team. We have a number of projects either in the works or planned. Here is the status of what is currently being worked on and links to downloa
This is the source code for a talk I gave at Svelte Summit 2020. This is actual code I wrote during the talk with a few later additions to clean things up. I will add a link to the video when it is published.
In this track we will explore how to design and develop flutter apps for mobile and then deploy them to the web. Also covering concepts of end to end UI development with responsive layouts,navigation concepts and API management.
This repo contains human readable source codes for VIRGO 1302 demoscene 4k intro, and the build pipeline used to produce the final entry file. It placed 1st in Assembly 2020 4k intro competition. You can view a prerendered version
This page compiles examples of large-run printed books with generative cover designs. For the purposes of this repository, "generative" means each copy is unique, and "large run" means it does not consider print-on-demand.
Apple's Human Interface Guidelines are amazingly well done. However, there are many details they don't clearly specify. This is an attempt to document the best conventions and patterns in the community.
For something in between a pytorch and a karpathy/micrograd. This may not be the best deep learning framework, but it is a deep learning framework.
The Tensor class is a wrapper around a numpy array, except it does Tensor things.
This project aims to help engineers, researchers and students to easily find and learn the good thoughts and designs in AI-related fields, such as AI/ML/DL accelerators, chips, and systems, proposed in the top-tier architecture
A flow-based network is considered to be inefficient in parameter complexity because of reduced expressiveness of bijective mapping, which renders the models prohibitively expensive in terms of parameters. We present an alternativ
An implementation of the algorithm and experiments defined in "Ab-Initio Solution of the Many-Electron Schroedinger Equation with Deep Neural Networks", David Pfau, James S. Spencer, Alex G de G Matthews and W.M.C. Foulkes, Phys.
This Awesome List aims at providing an overview of open-source projects related to data engineering. This is a community effort: please contribute and send your pull requests for growing this list! For a list including non-OSS too