owajawa Goto Github PK

2016

afsis2014

Solution for AFSIS 2014 Competition

algo2-2012-001

Algorithms: Design and Analysis, Part 2 Programming Assignments

amazon-dsstne

Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models

autoencoders_cf

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

backtest

The backtest package provides facilities for exploring portfolio-based conjectures about financial instruments (stocks, bonds, swaps, options, et cetera).

bateman

Simple stock trading system that optimizes its parameters with particle swarm optimization

bcolz

A columnar data container that can be compressed.

bitcoin

Bitcoin Core integration/staging tree

bpr

Bayesian Personalized Ranking

caffe-tensorflow

Caffe models in TensorFlow

cme257-advanced-julia

Advanced Topics in Scientific Computing with Julia

computational-discrete-math

cookiecutter-data-science

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

coursera_investing_hw1

Python script to find stock portfolios with high Sharpo ratio

cumf

CUDA-Acclerated ALS on mulitple GPUs

data-science-ipython-notebooks

Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. https://bit.ly/data-notes

default_loan_prediction

Code for Kaggle's Default Loan Prediction - Imperial College London challenge.

display-advertising-challenge

Criteo/Kaggle Competition of CTR prediction

dsn

Deeply-supervised Nets

empirical-paper

ezinstall

One-line install scripts for Torch.

free-programming-books

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.

hawkes

hawkes-process

highway-networks

An implementation of Highway Networks in Caffe

julia

The Julia Language: A fresh approach to technical computing.

k-stochastic-neighbor

Code to accompany the paper "k-Stochastic Neighbor Embeddings for Supervised and Unsupervised Learning, ICML 2013".