sabarikumar Goto Github PK
Name: Sabari Kumar
Type: User
Company: Colorado State University
Bio: Computational Chemistry PhD Student @ the Bioenergy Lab, CSU Fort Collins
Location: Fort Collins
Name: Sabari Kumar
Type: User
Company: Colorado State University
Bio: Computational Chemistry PhD Student @ the Bioenergy Lab, CSU Fort Collins
Location: Fort Collins
Machine learning predictions of bond dissociation energy
Generate searchable pdf documents from scanned documents with Amazon Textract
utilities for calculating bond dissociation energies
Boltzmann Generators and Normalizing Flows in PyTorch
Conditional VAE in Tensorflow 2 | Conditional Image Generation | CelebA dataset
Python-centric Cookiecutter for Molecular Computational Chemistry Packages
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
This repository contains implementations and illustrative code to accompany DeepMind publications
Pytorch implementation of Diffusion Models (https://arxiv.org/pdf/2006.11239.pdf)
An open-source Python package for creating fast and accurate atomistic potentials.
Geometric GNN Dojo provides unified implementations and experiments to explore the design space of Geometric Graph Neural Networks.
Automatic Journal Title Abbreviation Package for LaTeX
Tanimoto similarity based MDS from scratch
Jumping across biomedical contexts using compressive data fusion
My first major project. This application enables fans of the Monopoly Deal card game to play the game together online.
Keras layers for end-to-end learning on molecular structure.
Placevent - 3D-RISM-based solvent and ion placement software
Minimal PyTorch implementation of Deep Dream
Implementation of RipsNet (Thibault de Surrel, Felix Hensel, Mathieu Carrière, Théo Lacombe, Yuichi Ike, Hiroaki Kurihara, Marc Glisse, Frédéric Chazal Proceedings of Topological, Algebraic, and Geometric Learning Workshops 2022, PMLR 196:96-106, 2022.) in Pytorch.
Robust representation of semantically constrained graphs, in particular for molecules in chemistry
ML Materials for the CSU Chemistry Theory Suite Coding Camp, Summer 2023
explanation / demos of topology concepts
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.