Deep Learning framework in C++/CUDA that supports symbolic/automatic differentiation, dynamic computation graphs, tensor/matrix operations accelerated by GPU and implementations of various state-of-the-art graph neural networks and other Machine Learning models including Covariant Compositional Networks For Learning Graphs [Risi et al]

a single c++ file for learing how data flow graphs work.

An easy-to-use dynamic computation graph library for running e2e ML training.

DAG-based computation graph for streaming data

These are my computer graphics projects.