DeepChem
We democratize access to AI tools for drug discovery and other scientific applications of deep learning more broadly. We also maintain a collection of scientific datasets for benchmarking and building new deep learning architectures along with an extensive open source collection of scientific machine learning tutorials. DeepChem has a strong educational component and partners with a broad range of academic and governmental institutions.
GSoC Participation History
Technologies
Topics
Past Projects
Implement RFDiffusion and RFDiffusion All-Atom in DeepChem
RFDiffusion (Watson et al., Nature 2023) is the state-of-the-art protein backbone diffusion model but DeepChem currently has no protein structure...
OLMo Support For 7B models In DeepChem
According to the Google Summer of Code (GSoC) project ideas listed for One proposed DeepChem project involves adding support for the OLMo Large...
Machine Learning Interatomic Potentials (MLIP) in DeepChem using E(3)-Equivariant Neural Networks
This project aims to develop a native PyTorch-based Machine Learning Interatomic Potential (MLIP) framework within DeepChem, enabling efficient...
DeepChem-Compatible RFDiffusion Implementation
This project aims to implement state-of-the-art protein design models, RFDiffusion and RFDiffusion-2, within the DeepChem framework using a clean,...
Single Cell and DNA Foundation Models
DeepChem supports transformer-based foundation models for chemistry (ChemBERTa, MolFormer) but has no equivalent for genomic data. This project fills...
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DeepChem | GSoC Org Profile & Stats - Learn about DeepChem's involvement in Google Summer of Code (GSoC), their technologies, detailed reports.
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