jazzman37 Goto Github PK

kaggle

My public Kaggle code

kaggle-eeg

kaggle ecg classification with convnets

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

keras-gan

Keras implementations of Generative Adversarial Networks.

keras-mobilenet

Google MobileNet implementation with Keras

keras-mri

Keras MRI is a neural network visualization tool for Keras

keras-tcn

Keras Temporal Convolutional Network.

landsat-landstats

Using LANDSAT7 satellite images to predict population.

machine-learning-for-trading

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

machine-learning-tutorials

machine learning and deep learning tutorials, articles and other resources

medical-data

missingno

Missing data visualization module for Python.

ml-time-series

Some Machine Learning techniques for Time Series classification.

multilabel-timeseries-classification-with-lstm

Tensorflow implementation of paper: Learning to Diagnose with LSTM Recurrent Neural Networks.

musicdiscovery-assist

Google Home assistant for music recommendations, built with Python & Flask. Using Google Home and API.ai

myhdl

The MyHDL development repository

neural-based-outlier-discovery

Experiments about the use of neural networks to discover outliers in high-dimensional data

neural_arithmetic_logic_units-keras

This is the code for "Neural Arithmetic Logic Units" in Keras by Atri Saxena

nibabel_nilearn_tutorial

Materials for an intro to neuroimaging in python tutorial from Toronto, july 2017

nlstm

Nested LSTM Cell

notebooks

Ipython notebooks on healthcare relayed data analysis

numerical-python

Source code for 'Numerical Python' by Robert Johansson

openclga

A Python Library for Genetic Algorithm on OpenCL

oreilly-learning-tensorflow

papaa-labs

papaa-opencl

OpenCL Labs for PAPAA Summer School 2016 Edition

pixel-rnn-tensorflow

in progress

practice_pca

Work Area for practicing Dimensionality Reduction techniques using PCA

predictive-analytics-samples

Samples that Integrate Predictive Analytics service with IBM Watson IoT

pro-deep-learning-w-tensorflow

Source code for 'Pro Deep Learning with TensorFlow' by Santanu Pattanayak