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air-passengers-time-series-forecasting

Basic time series analysis and forecasting.

caffe

caffe classification exersizes

cmft_pycon2017

Materials for Convolutional Methods for Text workshop at PyCon2017

cna-course

complex network analysis course

comp_bio

count-vector-paper-experiments

experiments for the system calls sequences classification

course-nlp

A Code-First Introduction to NLP course

courses

fast.ai Courses

deep-learning-keras-tensorflow-pycon-israel-2017

Long live PyCon Israel!

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

devops_ex1

Jenkins

ex2-fadi

glove-python

Toy Python implementation of http://www-nlp.stanford.edu/projects/glove/

gluon-ts

Probabilistic time series modeling in Python

lstm-neural-network-for-time-series-prediction

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

m4-methods

Includes the source code of the methods which participated in the M4 Competition

mds

Multidimensional Scaling in Python

ms-teams-background-changer

Utility application to add background blur and custom background image to MS teams on Linux

n-beats

Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.

sparkit-learn

PySpark + Scikit-learn = Sparkit-learn

sub_ex_2_docker

sub_ex_6_k8s_jenkins

terraform_example

My example via terraform

time_series_clustering

time_series_experiments

various techniques for predicion (forecasting)

timeseriesanalysiswithpython

tutorial-arima-w-jeffrey-yau

udacity_course

vizgradcam

vizgradcam is the fastest way to visualize GradCAM with your Keras models.

word2vec

Automatically exported from code.google.com/p/word2vec