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ichat2json

Reads an .ichat binary plist file and writes newline-separated JSON to STDOUT

image

An Image toolbox for Torch.

imbalanced-learn

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

international-student-exploration

An Shiny APP to explore the story beneath the data of international students in the US

introneuralnetworks

Introducing neural networks to predict stock prices

joblib

Computing with Python functions.

josephlee94_deep_learn

json-path

Find the path of a key / value in a JSON hierarchy easily.

kaggle-web-traffic

1st place solution

kaggle_redhatproject

Predict whether a Redhat customer has future business value or not

kaggle_wnv_prediction

Kaggle Competition: predict West Nile Virus in mosquitos across the city of Chicago

keras

Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.

keras-2.x-projects-elearning

Leverage the power of Keras to build and train state-of-the-art deep learning models

keras-io

Keras documentation, hosted live at keras.io

keras-vis

Neural network visualization toolkit for keras

labs-ml-human-activity-recognition

AWS Machine Learning using cell phone sensor data for Human Activity Recording

learn-amazon-sagemaker

Learn Amazon SageMaker

learning-d3

Examples and development environment for Learning Data Visualization with D3.js, second edition (2016, Packt Publishing)

learningsparkv2

This is the github repo for Learning Spark: Lightning-Fast Data Analytics [2nd Edition]

machine-learning

This is repository includes instillation guide and basic,intermediate and advance machine learning algorithms.

machine-learning-for-algorithmic-trading-second-edition

Code and resources for Machine Learning for Algorithmic Trading, 2nd edition.

mapboxgl-jupyter

Use Mapbox GL JS to visualize data in a Python Jupyter notebook

mastering-concurrency-in-python

Mastering Concurrency in Python, published by Packt

mastering-flask-web-development-second-edition

Mastering Flask Web Development, published by Packt

mastering-machine-learning-algorithms-second-edition

Mastering Machine Learning Algorithms Second Edition, published by Packt

medgan

Generative adversarial network for generating electronic health records.

mit-deep-learning-book-pdf

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

mlwr

Machine Learning with R

multi-class-text-classification-cnn

Classify Kaggle Consumer Finance Complaints into 11 classes. Build the model with CNN (Convolutional Neural Network) and Word Embeddings on Tensorflow.

neo4j

Graphs for Everyone