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apps

A collection of apps built on Electron

archive

Old codes

bimodal

Supporting code for the paper "Bidirectional Molecule Generation with Recurrent Neural Networks" (J. Chem. Inf. 2020, 60, 3).

datascience

Script related to DS projects

deepviral

Source code for the DeepViral paper

environmental-effect-on-crop-phenotype

Analyzing crop phenotypic behaviour based on different environmental conditions.

generative_ai_health_sensor

Create synthetic wearable health sensor data using deep generative model (WGAN, VAE)

gt4sd-core

GT4SD, an open-source library to accelerate hypothesis generation in the scientific discovery process.

hikers_tour

The motivation comes from a so called hiker’s problem. There is a network of trails that possibly meet at several trail junctions. The goal of the hiker is to start at one trail junction, hike at least a minimum number of miles (say L) of trails, and return to the starting point. The hiker need not visit every trail junction, but wants to start and finish at the same point without repeating any trails.

html-css-tutorial

Tutorial for HTML and CSS

hyppo-x

Algebraic topology based header only library to extract insight of complex high dimensional data.

hyppo-xd

A cross platform desktop application to visually discover the insights of high dimensional data set as a mapper complex.

jspdf

Client-side JavaScript PDF generation for everyone.

markdown-cheatsheet

Markdown Cheatsheet for Github Readme.md

molgpt

Adjust and test on real Chem data

moses

Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models

mrsa_infection_prediction

MRSA infection prediction for inpatients using the clinical history

nan

Native Abstractions for Node.js

particle_physics

problem_solving

Coding challenges

regression-transformer

Regression Transformer (2023; Nature Machine Intelligence)

set_cover

Given a set of meters and a set of poles where each pole covers a subset of meters, our goal is to optimize the number of poles so that all the meters are still covered.

shad

Scalable High-performance Algorithms and Data-structures

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