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Name: Skander Hannachi
Type: User
Bio: Data scientist and developer. Working on demand forecasting and inventory management problems in the retail and supply chain space.
Location: Seattle
Name: Skander Hannachi
Type: User
Bio: Data scientist and developer. Working on demand forecasting and inventory management problems in the retail and supply chain space.
Location: Seattle
Text classification demo from our Next '19 breakout session
Optimizing an assortment of products based on measures of similarity.
Testing some Auto-ML libraries for fun
A Code-First Introduction to NLP course
Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. https://bit.ly/data-notes
Code + Blog entry for Datascience.com about forecasting with decomposition.
Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow
The code of the paper 'Deep Forecast : Deep Learning-based Spatio-Temporal Forecasting", ICML Time Series Workshop 2017.
Tensorflow implementation of Amazon DeepAR
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"Evaluation procedures for forecasting with spatio-temporal data" -- ECML 2018
A simple implementation of exponential smoothing in Python, using scipy and scikit learn
Code for an introduction to forecasting tutorial I gave in Feb 2018 to my colleagues.
Playing around with various ML problems and technologies
Graph2Seq is a simple code for building a graph-encoder and sequence-decoder for NLP and other AI/ML/DL tasks.
Traffic Graph Convolutional Recurrent Neural Network
An implementation of a sequence to sequence neural network using an encoder-decoder
short-term load forecasting with deep residual networks
Time-series prediction with LSTNet in Apache MXNet Gluon
This is a comprehensive ML techniques with python: Define the Problem- Specify Inputs & Outputs- Data Collection- Exploratory data analysis -Data Preprocessing- Model Design- Training- Evaluation
multi-step ahead forecasting of spatio-temporal data
Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.
N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.
Studying Online Retail Dataset and getting insights from it
time-series-predictoin(LSTNet,SAB,Transformer...)
Python implementation of the PR-SSM.
Presentations on the topic of ML that I have given to my colleagues or to outside teams.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.