2024
1 project
Improved Rendering with Tessellation Shaders
In avogadrolibs repo, there are ambient occlusion / shading but nothing for fog or blur effects. Moreover, we currently lack real-time structure...

Science and medicine
Advancing Open Source & Open Science for Chemistry
1 project
In avogadrolibs repo, there are ambient occlusion / shading but nothing for fog or blur effects. Moreover, we currently lack real-time structure...
8 projects
The 3DMol.js library size is quite large, but can be optimized by using const instead of var, array destructuring, global constants, and the...
CalcUS aims to democratize access to computational chemistry by providing a user-friendly web interface to simplify running and analyzing quantum...
The goal of this project is to develop an Active Learning based Bayesian Geometry Optimizer(ALBGO) using PyTorch and BoTorch for optimizing the...
PyTorch is becoming increasingly popular as the preferred backend for developing algorithms, thanks to its sustainability. DeepChem has decided to...
The DeepChem project aims to create high-quality, open-source tools to democratize the use of deep learning in drug discovery, materials science,...
The goal of this GSoC project is to address outstanding issues on GitHub for supporting additional programs and formats that are not currently...
The Cclib library is a popular tool used in computational chemistry for parsing and interpreting output files from software packages such as...
The necessity of having an application for the automated generation of input files for computational chemistry codes is evident. The ccinput is an...
9 projects
Last year there was some work regarding Avogadro's usability as a tool for bioinformatics. My proposal is working along the same line, giving...
Pytorch Lightning provides framework and functionalities for building and training PyTorch models. If integrated with deepchem, PyTorch-lightning...
Procrustes (a part of Theochem by QC-Devs) is a library for finding the optimal transformation that makes two matrices as close as possible to each...
The DeepChem project aims to create high-quality, open-source tools to democratize the use of deep learning in drug discovery, materials science,...
TensorFlow, Keras, and PyTorch are the most prominent libraries used for building DL and ML models. The use of PyTorch, as the primary backend for...
CalcUS aims to democratize access to computational chemistry by providing a user-friendly web interface to simplify running and analyzing quantum...
The project I am proposing would expand DeepChem’s tools for working with genomic datasets for drug discovery thus strengthening DeepChem’s new...
Implementation of Ferminet with PyTorch. Ferminet is a neural-network-based Variational Monte-Carlo technique that aims to minimize the local energy...
This project aims to construct a C++ implementation of the Python package xyz2mol from Prof. Jan H. Jensen’s research group...
7 projects
DeepChem has enabled powerful and practical applications for machine learning in many disciplines of the natural sciences. While its name recognizes...
Data visualization is a key aspect to understand complex models. In biology they work with complex structures composed of atoms, a common structure...
Synthesis is at the heart of organic chemistry. It is the process of constructing a molecule through a series of reactions. Efficient molecular...
3Dmol has most of the necessary features that make it a good visualization plugin for application and web. But this tool becomes difficult for the...
Deepchem is one of the premier open-source deep learning libraries for chemistry. It is used by people worldwide, thus there is a need to develop and...
ChemTools is an open-source Python library for interpreting quantum chemistry calculations. It is currently the only library capable of interpreting...
In this proposed project we build JaxModel, which provides a high-level API for training and deploying Machine Learning Models using JAX framework....
5 projects
The usual approach taken in computational chemistry is to first run a simulation, which can often be long, on a target molecule and then to analyze...
RDKit is a collection of cheminformatics and machine learning tools written in C++ and Python. Which is more important, it allows you to work with...
Chemical databases involve great heterogeneity. They are often variably indexed and represent chemical structures using custom data structures. This...
The goal is to implement a flexible generic interface for reading molecular file formats (for example .smi, .sdf, and the compressed versions...
In recent years, deep learning has made remarkable progress in the area of NLP and CV with big data. In the area of chemistry, Graph Convolutional...
6 projects
Molecular docking—the prediction of binding modes and binding affinity of a molecule to a target of known structure—is a great computational tool for...
Volumetric viewing of scientific phenomena is an important feature in modern scientific visualizing tools because it can express specific phenomena...
Open Babel is a widely used open source toolkit for cheminformatics. One of its important functions is 3D structure prediction of input molecules....
The project will be focused on development of extension for neo4j graph database for querying knowledge graphs storing molecular and chemical...
Even though chemistry has become a more data driven discipline in the recent years, the amount of data available for training deep learning models is...
The 3D structures of protein and organic molecules are tough to understand since not all can visualize their structures in the mind. The project aims...
7 projects
In this project I aim to implement new parsers for MOLCAS and TURBOMOLE. They will be a part of the cclib.parser module and will be implemented along...
DeepChem has been great library for the application of deep learning for drug/chemical discovery. As of now there is no imaging models implemented in...
Chemical fingerprints are very important for both querying chemical data (using similarity in fingerprint space) and the use of molecular entities in...
This project aims to implement support for Molecular Dynamics in Avogadro. Molecular dynamics (MD) is a computer simulation method for studying the...
MolVS (https://molvs.readthedocs.io/en/latest/) provides very useful functionality for molecular validation and standardization. MolVS is built using...
The goal is to implement a wrapper (common interface) for the identification algorithms’ logic in MSDK (that will allow to invoke tools like SIRIUS...
Chemical information is provided in various formats. Open Babel is a tool to convert file formats. When we translate a format which does not include...
6 projects
Although RDKit is a widely used extremely versatile chemoinformatics software package, it still lacks efficient 3D molecule visualization capability....
This project aims at creating a framework consisting of following modules : Script to setup MongoDB based database storing parsed results from...
The project aims to bridge the AIMALL and Molden programs with cclib by adding support for writing wfx/wfn files and Molden format files. Molden...
This project aims at developing efficient algorithm to analyze complex 3D data obtained from the Liquid Chromatography Mass Spectrometry (LCMS). The...
Virtual reality has become a rage with Oculus Rift VR headsets and Google Daydream View headsets hitting the markets. More importantly, with the...
There are many file formats in use for mass spectrometry data. For interoperability of algorithms in Java-based processing workflows, there is an...
2 projects
As a Ph. D. student in a computational chemistry research group involving crystallography, I’m very familiar with many of the features and functions...
This project proposes to integrate the cclib data parsing library with Avogadro-2 using the Chemical JSON format. Chemical JSON is a standard JSON...