AppliedML's repositories
AkkaDistBelief
An implementation of DistBelief using the Akka Actor framework
Bimbo
You are a stupid bimbo.
char-rnn
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
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
The SDK for Jetpac's iOS Deep Belief image recognition framework
dl-docker
An all-in-one Docker image for deep learning. Contains all the popular DL frameworks (TensorFlow, Theano, Torch, Caffe, etc.)
fast_rgf
Multi-core implementation of Regularized Greedy Forest
fromthetransistor
From the Transistor to the Web Browser
gcn
Implementation of Graph Convolutional Networks in TensorFlow
imbalanced-learn
Python module to perform under sampling and over sampling with various techniques.
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
KeplerMapper is a Python class for visualization of high-dimensional data and 3-D point cloud data.
keras-language-modeling
Some language modeling tools for Keras
MLAlgorithms
Minimal and clean examples of machine learning algorithms
parameter_server
moved to https://github.com/dmlc/ps-lite
pyensemble
An implementation of Caruana et al's Ensemble Selection algorithm in Python, based on scikit-learn
rgf_python
Python Wrapper of Regularized Greedy Forest.
rtb-papers
A collection of research and survey papers of real-time bidding (RTB) based display advertising techniques.
seq2seq
Sequence to Sequence Learning with Keras
sklearn_tutorial
Slides for quick intro to machine learning with sklearn
spark-sklearn
Scikit-learn integration package for Spark
stochastic_depth_keras
Rewriting code for "Deep Networks with Stochastic Depth" http://arxiv.org/abs/1603.09382 in keras