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A unified approach to explain the output of any machine learning model.
Jupyter Notebook MIT License UpdatedAug 29, 2019 -
notebooks Public
Forked from rapidsai/notebooksRAPIDS Sample Notebooks
Jupyter Notebook Apache License 2.0 UpdatedAug 21, 2019 -
hiddenlayer Public
Forked from waleedka/hiddenlayerNeural network graphs and training metrics for PyTorch, Tensorflow, and Keras.
Python MIT License UpdatedAug 13, 2019 -
sumrep Public
Forked from matsengrp/sumrepSummary statistics for repertoires
R UpdatedJan 19, 2019 -
models Public
Forked from tensorflow/modelsModels and examples built with TensorFlow
Python Apache License 2.0 UpdatedApr 12, 2018 -
horovod Public
Forked from horovod/horovodDistributed training framework for TensorFlow.
C++ Other UpdatedApr 12, 2018 -
TensorFlow-Tutorials Public
Forked from Hvass-Labs/TensorFlow-TutorialsTensorFlow Tutorials with YouTube Videos
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deeplearning-biology Public
Forked from hussius/deeplearning-biologyA list of deep learning implementations in biology
1 UpdatedApr 3, 2018 -
MultiNEAT Public
Portable NeuroEvolution Library http://MultiNEAT.com
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DanQ Public
Forked from uci-cbcl/DanQA hybrid convolutional and recurrent neural network for predicting the function of DNA sequences
Roff Other UpdatedJan 14, 2017