Sparse Matrix-Vector Multiplication that works at 30–90% sparsity

Enabling everyone to write GPU kernels

* https://sparser.io * https://github.com/Unibeautify/sparser This is my attempt at creating a universal language parser. It attempts to solve a couple of problems: * Support multiple languages * Recursively extend support to languages embedded within other languages * Output a uniform format for all supported languages This is a personal project so any feedback would be helpful. Something interesting I found after I built it is that this parser is not as fast to write output as many other JavaScript parsers, but its output is much faster to read from due to the…

Our company Vertex.AI has been working on this for a while but this is the first public release. We're starting with using PlaidML to bring OpenCL support to Keras and more frameworks, platforms, etc are coming. Yes, this means you can use use your AMD GPU for deep learning dev. Sorry, no Mac or Windows support yet although the brave can try building from source (it should work). http://vertex.ai/blog/announcing-plaidml https://github.com/plaidml/plaidml