mdiby

AgroChain

Agricultural Supply Chain Dapp With Micro-Finance

annoy

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

car-lease-demo

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

darkflow

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

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.

Deep-Learning-with-Keras

Code repository for Deep Learning with Keras published by Packt

DeepFM

Implementation of DeepFM using tensorflow.

deeplearning.ai

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

Easy-deep-learning-with-Keras

Keras tutorial for beginners (using TF backend)

find-kagglers

kaggle-web-traffic

1st place solution

learn-ab-and-multivariate-testing

Tutorial on A/B and multivariate testing :heavy_check_mark:

LinkinPark-LSTM

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

lopq

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

MarketingAnalytics

Spark + Python/Scala for Maketing Analytics

odsc-bayesian-ab-testing-talk

ODSC 2017 talk, Bayesian A/B testing

pbpython

Code, Notebooks and Examples from Practical Business Python

predict_next_purchase

Predicting a customer's next purchase using automated feature engineering

Product-based-Neural-Networks-for-User-Response-Prediction

pyro

Deep universal probabilistic programming with Python and PyTorch

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

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

Quadcopter

Autonomous Raspberry Pi, Raspian, Python, piDrone

sales-drivers-ab-test

AB Testing for e-commerce company

SBPR-FPMC

Sequential Bayesian Personalized Ranking using Factorized Personalized Markov Chains

slam

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

smc_electricity_forecast

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

sparts

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

tensorflow-workshop-1

This repo contains materials for use in a TensorFlow workshop.

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.

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