{chem}[foss/2017a] NAMD v2.12

{bio}[foss-2015b] BioKanga v4.3.6 (REVIEW)

{tools}[intel/2017a] pyenchant v1.6.8, enchant v1.6.1, hunspell v1.6.1

{tools}[intel/2017a] NLTK v3.2.2

{bio}[intel/2017a] pbdagcon v20170330, BLASR v20170330, blasr_libcpp v20170426, ...

clean up commented out lines in BLASR & blasr_libcpp easyconfigs, no need to use cstd=c++11 for BLASR

{data,vis}[intel/2017a] scikit-learn v0.18.1, matplotlib v2.0.1

{bio}[intel/2017a] RAxML v8.2.10

{lib}[intel/2017a] pandas v0.20.1

adding easyconfigs: scikit-learn-0.18.1-intel-2017a-Python-3.6.1.eb, matplotlib-2.0.1-intel-2017a-Python-3.6.1.eb

adding easyconfigs: pyenchant-1.6.8-intel-2017a-Python-2.7.13.eb, enchant-1.6.1-intel-2017a.eb, hunspell-1.6.1-intel-2017a.eb

adding easyconfigs: pbdagcon-20170330-intel-2017a.eb, BLASR-20170330-intel-2017a.eb, blasr_libcpp-20170426-intel-2017a.eb, pbbam-20170508-intel-2017a.eb, HTSlib-20160107-intel-2017a-PacBio.eb, HDF5-1.8.18-intel-2017a-serial.eb

{mpi}[GCC/6.3.0-2.27] OpenMPI v2.0.2

{math,numlib}[foss/2017a] METIS v5.1.0, ParMETIS v4.0.3, SuiteSparse v4.5.5, ...

{lib}[intel/2017a] Tensorflow v1.1.0 w/ Python 2.7.13 & 3.6.1

adding easyconfigs: Tensorflow-1.1.0-intel-2017a-Python-2.7.13.eb, Tensorflow-1.1.0-intel-2017a-Python-3.6.1.eb, protobuf-3.3.0-intel-2017a.eb, protobuf-python-3.3.0-intel-2017a-Python-2.7.13.eb, protobuf-python-3.3.0-intel-2017a-Python-3.6.1.eb

{phys}[intel/2017a] Siesta v4.0, Siesta v4.1-b2

{vis}[foss/2016b] x265 2.4 (REVIEW) 

{math}[intel/2017a] Keras 2.0.4 w/ Python 3.6.1

adding easyconfigs: Keras-2.0.4-intel-2017a-Python-3.6.1.eb, Theano-0.9.0-intel-2017a-Python-3.6.1.eb, h5py-2.7.0-intel-2017a-Python-3.6.1.eb, PyYAML-3.12-intel-2017a-Python-3.6.1.eb, pkgconfig-1.2.2-intel-2017a-Python-3.6.1.eb, nose-parameterized-0.6.0-intel-2017a-Python-3.6.1.eb

{tools}[intel/2017a] googletest v1.8.0

{data}[intel/2017a] HDF5 v1.10.1

{data}[intel/2017a] xarray v0.9.5

use patch to enable use of double precision floating point in METIS 5.1.0 foss/2016a easyconfig