Michael D's repositories
count-vector-paper-experiments
experiments for the system calls sequences classification
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
course-nlp
A Code-First Introduction to NLP course
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
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
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
terraform_example
My example via terraform
time_series_experiments
various techniques for predicion (forecasting)
vizgradcam
vizgradcam is the fastest way to visualize GradCAM with your Keras models.
word2vec
Automatically exported from code.google.com/p/word2vec
ZeroBranePackage
Packages for ZeroBrane Studio (https://studio.zerobrane.com)