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mdiby's repositories

dlrm

An implementation of a deep learning recommendation model (DLRM)

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pricing_competition_simulation

Simulation Framework for Dynamic Pricing Competitions

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This Repo Contains all the exercise files for Data Science Course of 365 Datascience . The repo is split into the relevant folders & there is one exercise folder which contains all the files of that course. Don't forget to star it :D

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Ad-papers

Papers on Computational Advertising

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amazon-sagemaker-examples

Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker

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avito-demand

Avito Demand Prediction Challenge :department_store:

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crypto-signal

Automated Crypto Trading & Technical Analysis (TA) Bot for Bittrex, Binance, GDAX, and more! (250+ coins)

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CryptoCurrencyTrader

A machine learning program in python to generate cryptocurrency trading strategies using deep reinforcement learning on price. Keras and Tensorflow.

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CTR_Prediction

CTR prediction using FM FFM and DeepFM

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dataproc-initialization-actions

Run in all nodes of your cluster before the cluster starts - lets you customize your cluster

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DeepFM_keras

A simple DeepFM.

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freqtrade

Simple High Frequency Trading Bot for crypto currencies

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gnes

GNES is Generic Neural Elastic Search, a cloud-native semantic search system based on deep neural network.

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googleCloudStorageR

Google Cloud Storage API to R

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Horizon

A platform for Applied Reinforcement Learning (Applied RL)

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horovod

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

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kafka-streaming-click-analysis

Use Kafka and Apache Spark streaming to perform click stream analytics

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kubeflow

Machine Learning Toolkit for Kubernetes

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Marketing-Analytics-

Customer Segmentation, Market Concentration,

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practical-machine-learning-with-python

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

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pricewars

Price Wars - A Simulation Platform for Dynamic Pricing Competition

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Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

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