kamelhamed Goto Github PK

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

bimodal

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

code-catalog-python

Algorithms and data structures for review for coding interview.

computer-science-flash-cards

Mini website for testing both general CS knowledge and enforce coding practice and common algorithm/data structure memorization.

cvae

github for "Molecular generative model based on conditional variational autoencoder for de novo molecular design"

devops-world

flask-notes-web-app

gf-vae

A Flow-based Variational Autoencoder for Molecule Generation

jtvae

Junctional Tree Variational Auto-encoder

mg2n2

Molecule Generative Graph Neural Networks

mofloworiginal

MoFlow: an invertible flow model for generating molecular graphs

moleculemo

Multiobjective De Novo Drug Design with Recurrent Neural Networks and Nondominated Sorting

molgan

Tensorflow implementation of MolGAN: An implicit generative model for small molecular graphs

prml

Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop