Detect Parkinsons using XGBoost and Neural Networks
Five Video Classification Methods
Code that accompanies my blog post outlining five video classification methods in Keras and TensorFlow
Imagination Augmented Agents
Building Agents with Imagination: pytorch easy-to-follow step-by-step tutorial
A python library for visualizing Artificial Neural Networks (ANN)
Deep Extreme Cut in PyTorch
Keras implementation of Deeplab v3+ with pretrained weights
TensorFlow Code for paper “Efficient Neural Architecture Search via Parameter Sharing”
A library for transfer learning by reusing parts of TensorFlow models.
TensorFlow Model Analysis
A library for evaluating TensorFlow models. It allows users to evaluate their models on large amounts of data in a distributed fashion, using the same metrics defined in their trainer
Text pre-processing modules for deep learning for Keras and Tensorflow
A fast implementation of GloVe, with optional retrofitting
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