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appliedml's Projects

char-rnn icon char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

courseraml icon courseraml

I took Andrew Ng's Machine Learning course on Coursera and did the homework assigments... but, on my own in python because Octave? Really?

deepbeliefsdk icon deepbeliefsdk

The SDK for Jetpac's iOS Deep Belief image recognition framework

dl-docker icon dl-docker

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

fast_rgf icon fast_rgf

Multi-core implementation of Regularized Greedy Forest

gcn icon gcn

Implementation of Graph Convolutional Networks in TensorFlow

imbalanced-learn icon imbalanced-learn

Python module to perform under sampling and over sampling with various techniques.

kaggle_homedepot icon kaggle_homedepot

Turing Test's Solution for Home Depot Product Search Relevance Competition on Kaggle (https://www.kaggle.com/c/home-depot-product-search-relevance)

kepler-mapper icon kepler-mapper

KeplerMapper is a Python class for visualization of high-dimensional data and 3-D point cloud data.

mlalgorithms icon mlalgorithms

Minimal and clean examples of machine learning algorithms

ps-lite icon ps-lite

A lightweight parameter server interface

pyensemble icon pyensemble

An implementation of Caruana et al's Ensemble Selection algorithm in Python, based on scikit-learn

rtb-papers icon rtb-papers

A collection of research and survey papers of real-time bidding (RTB) based display advertising techniques.

seq2seq icon seq2seq

Sequence to Sequence Learning with Keras

stochastic_depth_keras icon stochastic_depth_keras

Rewriting code for "Deep Networks with Stochastic Depth" http://arxiv.org/abs/1603.09382 in keras

vertebral icon vertebral

Demonstration of the effect of synthetic features on linear models

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