### Examples

Parkinsons AI

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

### Toolset

ANN Visualizer

A python library for visualizing Artificial Neural Networks (ANN)

### Models

DEXTR-PyTorch

Deep Extreme Cut in PyTorch

keras-deeplab-v3-plus

Keras implementation of Deeplab v3+ with pretrained weights

enas

TensorFlow Code for paper “Efficient Neural Architecture Search via Parameter Sharing”

### Libraries

TensorFlow Hub

A library for transfer learning by reusing parts of TensorFlow models.

TensorFlow.js

A WebGL accelerated, browser based JavaScript library for training and deploying ML 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

DL-Text

Text pre-processing modules for deep learning for Keras and Tensorflow

Mittens

A fast implementation of GloVe, with optional retrofitting

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