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deep_recommend_system

TensorFlow template application for deep learning

deep_trader

This project uses reinforcement learning on stock market and agent tries to learn trading. The goal is to check if the agent can learn to read tape. The project is dedicated to hero in life great Jesse Livermore.

detection-2016-nipsws

Hierarchical Object Detection with Deep Reinforcement Learning

dl-docker

An all-in-one Docker image for deep learning. Contains all the popular DL frameworks (TensorFlow, Theano, Torch, Caffe, etc.)

dlrm

An implementation of a deep learning recommendation model (DLRM)

dnn_ctr

The framework to deal with ctr problem。The project contains FNN,PNN,DEEPFM, NFM etc

docker-course-xgboost

Materials for an online-course - "Practical XGBoost in Python"

dto

Very Basic Optimization of the Email Delivery Time

dynamic-prices

Dynamic pricing for selling perishable goods

easy-deep-learning-with-keras

Keras tutorial for beginners (using TF backend)

edx-spark

edxspark

Various machine learning algorithms including linear regression, logistic regression, pca, text analysis and an algorithm for entity resolution using Apache Spark Mlib and Python created as part of Distribute Machine Learning with Apache Spark course on edx.org

email-campaign-click-through-prediction

emotionrecognitiononhologram

A system that can recognize human facial expression and analyze emotions (i.e: happy, sad, angry...) using CV and Machine Learning. After that, the human emotion data is streamed to a Unity character which is projected on a DIY pyramid hologram.

entity-embedding-rossmann

exp-anomaly-detector

The design of a time series anomaly detector through RNN and RL.

find-kagglers

firelotto

International Blockchain Lottery

fk-visual-search

Flipkart's visual search and recommendation system

foundations-marketing-analytics

Python versions of the R tutorials used in the Coursera course 'Foundations of Marketing Analytics'

fpmc

Implementation of the Factorizing Personalized Markov Chains for Next-Basket Recommendation

fpmc-1

Python implementation of "Factorizing Personalized Markov Chains for Next-Basket Recommendation"

freqtrade

Simple High Frequency Trading Bot for crypto currencies

gnes

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

googlecloudstorager

Google Cloud Storage API to R

gradientdescentexample

Example demonstrating how gradient descent may be used to solve a linear regression problem

gru4rec

GRU4Rec is the cleaned & simplified implementation of the algorithm of the "Session-based Recommendations with Recurrent Neural Networks" paper, published at ICLR 2016. The code is stripped of features that we had found to be unhelpful in increasing accuracy.

h2o-3

Open Source Fast Scalable Machine Learning API For Smarter Applications (Deep Learning, Gradient Boosting, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles...)

h2o-tutorials

Tutorials and training material for the H2O Machine Learning Platform

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.