land's repositories
intellgraph
IntellGraph is an abbreviation of Intelligent Graph. As the name indicates, the IntellGraph framework is developed for Artifical Intelligence and is abstracted based on Graph Theory. The project is still under development. In current version, users are able to use it for constructing fully connected deep neural networks with different activation and loss functions (e.g. sigmoid activation function, mean square error loss function, cross-entropy loss function, etc). Examples (in the example/ directory) are prepared to show the capability of the IntellGraph project and you are encouraged to study them before building your own neural networks.
dominique
Dominque is a complete compiler front-end developed in C++ that generates three-address intermediate codes. The project is developed based on the complete front-end compiler in Java from the Dragon Book, in current version, the source program consists of syntax tree, with constructors and nodes as objects. These objects deal with all of the following: construct a syntax-tree, check types, and generate three-address intermediate code.
lingbozhang.github.io
My personal website
minilang-interpreter
Interpreter and Read-Eval-Print-Loop for a simple programming language called "MiniLang", written in C++
tensorflow
An Open Source Machine Learning Framework for Everyone