omar-florez

deeplearning-papernotes

Summaries and notes on Deep Learning research papers

densenet-tensorflow

DenseNet Implementation in Tensorflow

VQA

mcb-model-for-vqa

This is an explanation and implementation of MCB for Visual QA with Tensorflow.

kaggle-distracted-driver-detection

10th place solution in "State Farm Distracted Driver Detection"

tensorflow_compact_bilinear_pooling

Compact Bilinear Pooling in TensorFlow

distracted-drivers-tf

Starter project for the Kaggle State Farm Distracted Driver Detection Competition

vqa-mcb

tensorflow-worklab

This set of files is an example of how to use Tensorflow for importing and retraining an existing model, such as ResNet. The goal of this example is to separate all functionality on several classes, so it is easy to modify the parameters and run the models, while still having all code not too deep inside.

SituationCrf

compact_bilinear_pooling

MatConvNet and Caffe repo with compact bilinear and bilinear pooling functionality added

HieCoAttenVQA

mario-ai

Playing Mario with Deep Reinforcement Learning

natural-language-object-retrieval

Code release for Hu et al. Natural Language Object Retrieval, in CVPR, 2016

vqa-tf

Attempt to implement Tensorflow edition of Deeper LSTM+ normalized CNN for Visual Question Answering

emojis

revisiting nlp with emojis (a twitter analysis)

RstarCNN

R*CNN

location_tracking_ml

A PoC using TensorFlow and deep neural networks to model human locations in a generative fashion.

imageqa-public

Code for paper "Exploring Models and Data for Image Question Answering"

DPPnet

DPPnet: Image Question Answering using Convolutional Neural Network with Dynamic Parameter Prediction

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.

extremely-simple-one-shot-learning

Extremely simple one-shot learning in Python

visual-qa

Keras-based LSTM/CNN models for Visual Question Answering

tensorflow_shiny

A R/Shiny app for interactive RNN tensorflow models

VisualSearchServer

A simple implementation of Visual Search using features extracted from Tensorflow inception model

show_and_tell.tensorflow

RNNexp

tensorflow-vgg16

conversation of caffe vgg16 model to tensorflow

NeuralModels

A library for neural networks. Built on Theano.

stocks_rnn

Stock price prediction with LSTMs in TensorFlow