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Jameshwart Lopez's Projects

deepqa icon deepqa

My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot

deepspeech icon deepspeech

A TensorFlow implementation of Baidu's DeepSpeech architecture

draw icon draw

TensorFlow Implementation of "DRAW: A Recurrent Neural Network For Image Generation"

face-frontalization icon face-frontalization

This is a port of the Face Frontalization code provided by Hassner et al. at http://www.openu.ac.il/home/hassner/projects/frontalize

face2face-demo icon face2face-demo

pix2pix demo that learns from facial landmarks and translates this into a face

image-classification-rnn icon image-classification-rnn

Classify MNIST image dataset into 10 classes. Build an image classifier with Recurrent Neural Network (RNN: LSTM) on Tensorflow.

image_spline icon image_spline

Implementation of Burt and Adelson's "A Multiresolution Spline With Application to Image Mosaics"

keras-gan icon keras-gan

Keras implementations of Generative Adversarial Networks.

lstm_networks icon lstm_networks

This is the code for "LSTM Networks - The Math of Intelligence (Week 8)" By Siraj Raval on Youtube

magenta icon magenta

Magenta: Music and Art Generation with Machine Intelligence

models icon models

Models and examples built with TensorFlow

pix2pix-tensorflow icon pix2pix-tensorflow

Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets https://phillipi.github.io/pix2pix/

rnn-tutorial-rnnlm icon rnn-tutorial-rnnlm

Recurrent Neural Network Tutorial, Part 2 - Implementing a RNN in Python and Theano

speech-recognition-neural-network icon speech-recognition-neural-network

This is the end-to-end Speech Recognition neural network, deployed in Keras. This was my final project for Artificial Intelligence Nanodegree @Udacity.

speech-to-text-wavenet icon speech-to-text-wavenet

Speech-to-Text-WaveNet : End-to-end sentence level English speech recognition based on DeepMind's WaveNet and tensorflow

tensorflow icon tensorflow

Computation using data flow graphs for scalable machine learning

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