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Learn about the Neumorphic engineering process of creating large-scale integration (VLSI) systems containing electronic analog circuits to mimic neuro-biological architectures.
Deep learning with spiking neural networks (SNNs) in PyTorch.
Kernel Point Convolution implemented in PyTorch
Graph Neural Network Library for PyTorch
Official PyTorch implementation of Superpoint Transformer introduced in [ICCV'23] "Efficient 3D Semantic Segmentation with Superpoint Transformer" and SuperCluster introduced in [3DV'24 Oral] "Scal…
SimpleX - the first messaging network operating without user identifiers of any kind - 100% private by design! iOS, Android and desktop apps 📱!
Parsing, analyzing, and comparing source code across many languages
libasound implementation that uses sndio (not full implementation, but hopefully enough to replace the real thing eventually)
Haskell bindings for tree-sitter
hoodle : A pen notetaking program written in haskell
a fast, extensible, type driven Haskell ECS framework for games
Manage a user environment using Nix [maintainer=@rycee]
Cross-platform Rust rewrite of the GNU coreutils
A vi-like editor based on Plan 9's structural regular expressions
A modified version of the Irony project (https://irony.codeplex.com) with .NET Core support
UNIX-like reverse engineering framework and command-line toolset