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ale_data_extraction

Quick and dirty implementation of Fitted Q Iteration to extract representative training data from Arcade Learning Environment

asreader

This is an implementation of the Attention Sum Reader model as presented in "Text Comprehension with the Attention Sum Reader Network" available at http://arxiv.org/abs/1603.01547.

awesome-tensorflow

TensorFlow - A curated list of dedicated resources http://tensorflow.org

awesome-vqa

Visual Q&A reading list

caffe

Caffe: a fast open framework for deep learning.

cbt-model

algorithms for solving the Children's Book Test (CBT)

cvpr-2017-abstracts-collection

Collection of CVPR 2017, including titles, links, authors, abstracts and my own comments

da-faster-rcnn

An implementation of our CVPR 2018 work 'Domain Adaptive Faster R-CNN for Object Detection in the Wild'

decaf

This is my original repository of the decaf code. Decaf is a precursor of Caffe written in Python for deep image classification. It is deprecated, and you should check out my new library, Caffe, at http://caffe.berkeleyvision.org/.

deeprl-agents

A set of implementations of Deep Reinforcement Learning Agents using Tensorflow.

domain_adaptive_object_detection_gan

dynamic_rnn_example

Code example for tf.nn.dynamic_rnn using Tensorflow library

hiecoattenvqa

hri

llfda

lstm-human-activity-recognition

Human activity recognition using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six categories (WALKING, WALKING_UPSTAIRS, WALKING_DOWNSTAIRS, SITTING, STANDING, LAYING).

manageyp.github.com

Henry Lee's Blog.

marketvectors

Implementations for my blog post [here](https://medium.com/@TalPerry/deep-learning-the-stock-market-df853d139e02#.flflpo3xf)

roboticsperception

ssd_siamese_da

Siamese network based SSD for object detection in domain adaptation

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow-examples

TensorFlow Tutorial and Examples for beginners

tensorflow-resnet

ResNet model in TensorFlow

tensorflow-vae-gan-draw

A collection of generative methods implemented with TensorFlow (Deep Convolutional Generative Adversarial Networks (DCGAN), Variational Autoencoder (VAE) and DRAW: A Recurrent Neural Network For Image Generation).

tensorflow-vgg16

conversation of caffe vgg16 model to tensorflow

tensornets

High level network definitions with pre-trained weights in TensorFlow

tensorpack

Neural Network Toolbox on TensorFlow

tflearn

Deep learning library featuring a higher-level API for TensorFlow.

vae-imbalanced-learn-with-two-classes

vae_imbalanced