Pinned Repositories
AlphaGo
A replication of DeepMind's 2016 Nature publication, "Mastering the game of Go with deep neural networks and tree search," details of which can be found on their website.
async-rl
Replicating "Asynchronous Methods for Deep Reinforcement Learning" (http://arxiv.org/abs/1602.01783)
awesome-deep-vision
A curated list of deep learning resources for computer vision
caffe-posenet
Implementation of PoseNet
caffe-with-spearmint
Automatic Caffe parameter search via Spearmint Bayesian optimisation
CaffeOnSpark
category-embedding-rossmann
clarifai-python
Clarifai API Python Client
dboost
Stochastic Dummy Boosting
deep-residual-networks
Deep Residual Learning for Image Recognition
BenjamWhite's Repositories
BenjamWhite/AlphaGo
A replication of DeepMind's 2016 Nature publication, "Mastering the game of Go with deep neural networks and tree search," details of which can be found on their website.
BenjamWhite/async-rl
Replicating "Asynchronous Methods for Deep Reinforcement Learning" (http://arxiv.org/abs/1602.01783)
BenjamWhite/awesome-deep-vision
A curated list of deep learning resources for computer vision
BenjamWhite/caffe-posenet
Implementation of PoseNet
BenjamWhite/CaffeOnSpark
BenjamWhite/dboost
Stochastic Dummy Boosting
BenjamWhite/deep-residual-networks
Deep Residual Learning for Image Recognition
BenjamWhite/DeepMind-Teaching-Machines-to-Read-and-Comprehend
Implementation of "Teaching Machines to Read and Comprehend" proposed by Google DeepMind
BenjamWhite/dl-setup
Instructions for setting up the software on your deep learning machine
BenjamWhite/elephas
Distributed Deep learning with Keras & Spark
BenjamWhite/fastFM
fastFM: A Library for Factorization Machines
BenjamWhite/fb.resnet.torch
Torch implementation of ResNet from http://arxiv.org/abs/1512.03385 and training scripts
BenjamWhite/GooPyCharts
A Google Charts API for Python, meant to be used as an alternative to matplotlib.
BenjamWhite/keras-dcgan
Keras implementation of Deep Convolutional Generative Adversarial Networks
BenjamWhite/MTH594_MachineLearning
The materials for the course MTH 594 Advanced data mining: theory and applications (Dmitry Efimov, American University of Sharjah)
BenjamWhite/neural-style
Torch implementation of neural style algorithm
BenjamWhite/neuralconvo
Neural conversational model in Torch
BenjamWhite/NNPACK
Acceleration package for neural networks on multi-core CPUs
BenjamWhite/nolearn
Abstractions around neural net libraries, most notably Lasagne.
BenjamWhite/pastalog
Simple, realtime visualization of neural network training performance.
BenjamWhite/spark-py-notebooks
Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks
BenjamWhite/Spark_Tutorial
First commit to spark_tutorial
BenjamWhite/spyre
a web application framework for python
BenjamWhite/Stochastic_Depth
Code for Deep Networks with Stochastic Depth
BenjamWhite/stochastic_depth_keras
Rewriting code for "Deep Networks with Stochastic Depth" http://arxiv.org/abs/1603.09382 in keras
BenjamWhite/tensorflow-glove
An implementation of GloVe in TensorFlow
BenjamWhite/tensorflow-resnet
Pre-trained ResNet Models in TensorFlow
BenjamWhite/visually-informed-embedding-of-word-VIEW-
Visually informed embedding of word (VIEW) is a tool for transferring multimodal background knowledge to NLP algorithms.
BenjamWhite/VQA_LSTM_CNN
Train a deeper LSTM and normalized CNN Visual Question Answering model. This current code can get 58.16 on OpenEnded and 63.09 on Multiple-Choice on test-standard.
BenjamWhite/wide-residual-networks
95.8% and 80% on CIFAR-10 and CIFAR-100