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mdiby's Projects
tensorflow-workshop-1
This repo contains materials for use in a TensorFlow workshop.
tensorflow-xnn
4th Place Solution for Mercari Price Suggestion Challenge on Kaggle (https://www.kaggle.com/c/mercari-price-suggestion-challenge)
tensorflow_mnist_cloudml
TensorFlow on Google Cloud Machine Learning
tensorflow_tutorials
From the basics to slightly more interesting applications of Tensorflow
tf-estimator-tutorials
This repository includes tutorials on how to use the TensorFlow estimator APIs to perform various ML tasks, in a systematic and standardised way.
tf-recomm
Tensorflow-based Recommendation systems
tf-tutorials
A collection of deep learning tutorials using Tensorflow and Python
tf_repos
TensorFlow Script
tflearn
Deep learning library featuring a higher-level API for TensorFlow.
tflearn_wide_and_deep
Pedagogical example realization of wide & deep networks, using TensorFlow and TFLearn.
tradebot
Automated cryptocurrency trader.
tradinggym
Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.
ucl-drl-msc
Learning to Recommend using a Deep Reinforcement Agent
udacity-ml-nanodegree
Projects for Udacity's Machine Learning Engineer Nanodegree
unrequited-mail
Email response time predictor and auto responder
user-response-learning-for-directly-optimizing
A training and testing framework supporting experiments in CIKM 2016 paper "User Response Learning for Directly Optimizing Campaign Performance in Display Advertising"
walmart_competition_code
This repo holds the code for the 1st place entry in the Walmart 2014 sales forecasting competition hosted on Kaggle.
wide-and-deep-keras
Keras implementation of Tensorflow's Wide and Deep Algorithm
widendeep
wide and deep labs and samples
winerama-recommender-tutorial
A wine recommender system tutorial using Python technologies such as Django, Pandas, or Scikit-learn, and others such as Bootstrap.
word2vec-sentiments
Tutorial for Sentiment Analysis using Doc2Vec in gensim (or "getting 87% accuracy in sentiment analysis in under 100 lines of code")
wtte-rnn
WTTE-RNN a framework for churn and time to event prediction
xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow
zs-customer-modeling-challenge-2015
Developing a predictive model to predict propensity of customers buying add-ons
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