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Open Cognitive Environment (opence/1.3.1, opence/1.2.2, opence/1.1.2, opence/1.0.0)

The project contains everything that is needed to build conda packages for a collection of machine learning and deep learning frameworks.

Environmentopence-v1.3.1opence-v1.2.2opence-v1.1.2opence-v1.0.0
python3.8.03.8.03.8.123.8.12
cuda11.2.211.0.22110.2.8910.2.89
cudnn8.1.18.1.17.6.57.6.5
nccl2.8.32.7.82.7.82.7.8
openmpi4.1.13.1.33.1.33.1.3
apex0.1N/AN/AN/A
hdf51.10.41.10.61.10.41.10.4
horovod0.21.30.21.00.21.00.19.5
ipython7.27.07.29.07.29.07.28.0
matplotlib3.4.33.4.33.4.33.4.2
mpi4py3.1.1N/AN/AN/A
numpy1.21.21.19.51.19.51.19.2
onnx1.7.01.6.01.6.01.6.0
opencv3.4.144.5.03.4.103.4.10
pandas1.3.21.3.41.3.41.2.4
pytorch1.8.11.7.11.7.11.6.0
scikit-learn0.24.21.0.11.0.11.0.1
scipy1.7.11.7.11.4.11.4.1
tensorflow2.5.12.4.12.4.12.3.1
tensorboard2.5.02.4.12.4.12.3.0
transformers4.4.22.1.14.12.24.12.2

IBM Watson Machine Learning Community Edition (wmlce/1.7.0, wmlce/1.6.2)

WMLCE is an enterprise software distribution that combines popular open-source deep learning frameworks, efficient AI development tools, and accelerated IBM Power Systems servers. It includes the following frameworks:

Environmentwmlce/1.7.0wmlce/1.6.2
python3.7.103.7.10
cuda10.2.8910.1.243
cudnn7.6.57.6.3
nccl2.5.62.4.8
apex0.1.00.1.0
caffe1.01.0
dask2.9.22.3.0
hdf51.10.21.10.2
horovod0.19.0N/A
ipython7.26.07.26.0
matplotlib3.3.43.3.4
numba0.47.00.45.1
numpy1.17.41.16.6
onnx1.6.01.5.0
pandas1.2.41.2.4
pytorch1.2.41.2.0
scikit-learn0.24.20.22.1
scipy1.3.11.3.1
spectrum-mpi10.0310.03
tensorboard2.1.11.15.0
tensorflow2.1.31.15.5
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