Google Summer of Code 2023: Porting SeqToSeq and DTNN Model

About Me

I’m Rakshit Kumar Singh currently a first year Student at NIT Rourkela, India.

I am excited to be a part of the DeepChem community. I have been passionate about machine learning for scientific applications, and I am eager to contribute to the development of this project. I believe that machine learning has the potential to make a real impact on the world.

Contact Details

About the Project

PyTorch is becoming increasingly popular as the preferred backend for developing algorithms, thanks to its sustainability. DeepChem has decided to port its TensorFlow and Jax Models to PyTorch. This project aims to successfully port two of DeepChem’s models. SeqToSeq and DTNN Model are being ported under this project. SeqToSeq is a neural network that maps variable-length input sequences to variable-length output sequences. DTNN stands for Deep Tensor Neural Network, which is a deep learning architecture that uses tensors to represent molecular structures for predicting chemical properties and activities. The implementation will include documentation changes, usage examples, and a tutorial if required.