mdiby's repositories

AgroChain

Agricultural Supply Chain Dapp With Micro-Finance

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annoy

Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

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car-lease-demo

A demonstration using IBM Blockchain to show how the lifecycle of vehicles can be recorded on a blockchain

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darkflow

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

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datascience-ai-machinelearning-resources

Alex Castrounis' curated set of resources for artificial intelligence (AI), machine learning, data science, big data, internet of things (IoT), and more.

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Deep-Learning-with-Keras

Code repository for Deep Learning with Keras published by Packt

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DeepFM

Implementation of DeepFM using tensorflow.

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deeplearning.ai

deeplearning.ai , By Andrew Ng, All slide and notebook + data (without solution) and video link

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Easy-deep-learning-with-Keras

Keras tutorial for beginners (using TF backend)

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kaggle-web-traffic

1st place solution

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learn-ab-and-multivariate-testing

Tutorial on A/B and multivariate testing :heavy_check_mark:

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LinkinPark-LSTM

LSTM Network Implementation for Linkin Park Lyrics ( Generation + Prediction )

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lopq

Training of Locally Optimized Product Quantization (LOPQ) models for approximate nearest neighbor search of high dimensional data in Python and Spark.

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MarketingAnalytics

Spark + Python/Scala for Maketing Analytics

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odsc-bayesian-ab-testing-talk

ODSC 2017 talk, Bayesian A/B testing

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pbpython

Code, Notebooks and Examples from Practical Business Python

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predict_next_purchase

Predicting a customer's next purchase using automated feature engineering

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pyro

Deep universal probabilistic programming with Python and PyTorch

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python-machine-learning-book-2nd-edition

The "Python Machine Learning (2nd edition)" book code repository and info resource

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Quadcopter

Autonomous Raspberry Pi, Raspian, Python, piDrone

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sales-drivers-ab-test

AB Testing for e-commerce company

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SBPR-FPMC

Sequential Bayesian Personalized Ranking using Factorized Personalized Markov Chains

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slam

An implementation of particle filtering algorithm for simultaneous localization and mapping (SLAM) in autonomous robots.

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smc_electricity_forecast

Projet ENSAE - Modèles à chaîne de Markov cachée et méthodes de Monte Carlo séquentielles - Antoine Grelety, Samir Tanfous, Zakarya Ali

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sparts

Utilizing a Blockchain Ledger to Establish Trust in the Open Source Software used across a Supply Chain

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tensorflow-workshop-1

This repo contains materials for use in a TensorFlow workshop.

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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.

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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

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