Pinned Repositories
bo_tutorial
Notebook for the Bayesian Optimization (quick) tutorial
cclib
Parsers and algorithms for computational chemistry logfiles
conda-recipes
build and test recipes for conda
dennissheberla.github.io
Website
galvani
Read proprietary file formats from electrochemical test stations
keras
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.
keras-molecules
Autoencoder network for learning a continuous representation of molecular structures.
mol2vec
Mol2vec - an unsupervised machine learning approach to learn vector representations of molecular substructures
personal-jekyll-denn
{ Personal } Jekyll theme.
speck
Browser-based WebGL molecule renderer with the goal of producing figures that are as attractive as they are practical.
dennissheberla's Repositories
dennissheberla/bo_tutorial
Notebook for the Bayesian Optimization (quick) tutorial
dennissheberla/cclib
Parsers and algorithms for computational chemistry logfiles
dennissheberla/conda-recipes
build and test recipes for conda
dennissheberla/dennissheberla.github.io
Website
dennissheberla/galvani
Read proprietary file formats from electrochemical test stations
dennissheberla/keras
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.
dennissheberla/keras-molecules
Autoencoder network for learning a continuous representation of molecular structures.
dennissheberla/mol2vec
Mol2vec - an unsupervised machine learning approach to learn vector representations of molecular substructures
dennissheberla/personal-jekyll-denn
{ Personal } Jekyll theme.
dennissheberla/speck
Browser-based WebGL molecule renderer with the goal of producing figures that are as attractive as they are practical.