Deep Learning / tensorflow backend

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MusiteDeep 🌿
34 (+0) ⭐

MusiteDeep provides a deep-learning method for general and kinase-specific phosphorylation site prediction. It is implemented by deep learning library Keras and Theano backend (the Keras2.0 and Tensorflow backend implementation were also provided under folder MusiteDeep_Keras2.0). At present, MusiteDeep only provides prediction of human phosphorylation sites; however, it also provides customized model training that enables users to train other PTM prediction models by using their own training data sets based on either CPU or GPU.

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keras 🌿
48472 (+11) ⭐

Deep Learning for humans

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1731 (+1) ⭐

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

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LSTM_chatbot πŸ‚
4 (+0) ⭐

Implementation of a Deep Learning chatbot using Keras with Tensorflow backend

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deepdive 🌿
2 (+0) ⭐

R Package | Deep Learning | No Tensorflow or Theano backend | Variable Importance | Introducing Deeptree Algorithm

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23 (+0) ⭐

Flask API to productize a document classification model. Classification model was built using Keras with tensorflow backend

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Resnet50-model 🌿
4 (+0) ⭐

An implementation of resnet50 model from the paper "Deep residual learning for image recognition" by Kaiming He et.al in keras using tensorflow backend

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5 (+0) ⭐

A docker container that starts with fully featured Autonomio augmented intelligence workbench with Keras/Tensorflow deep learning backend.

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4 (+0) ⭐

Hyspeclib is a helper library written in python language on top of Tensorflow backend for analysis of hyperspectral images and perform classification task using supervised deep learning algorithm.

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12 (+0) ⭐

Module for detecting traffic lights in the CARLA autonomous driving simulator. Based on the YOLO v2 deep learning object detection model and implemented in keras, using the tensorflow backend.

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