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bruce's Projects

ac-gan icon ac-gan

A tensorflow implementation of google's AC-GAN ( Auxiliary Classifier GAN ).

adversarial icon adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

all-conv-keras icon all-conv-keras

All Convolutional Network: (https://arxiv.org/abs/1412.6806#) implementation in Keras

autoencoders icon autoencoders

implementations of various types of auto-encoders in tensorflow(in progress)

awesome-courses icon awesome-courses

:books: List of awesome university courses for learning Computer Science!

bottom-up-attention icon bottom-up-attention

Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome

caffe icon caffe

Caffe: a fast open framework for deep learning.

caffe-cvprw15 icon caffe-cvprw15

:heart::coffee: Deep Learning of Binary Hash Codes for Fast Image Retrieval (CVPRW15)

ccnn icon ccnn

[ICCV 2015] Framework for optimizing CNNs with linear constraints for Semantic Segmentation

cleverhans icon cleverhans

A library for benchmarking vulnerability to adversarial examples

conv_arithmetic icon conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

coursera-neural-net icon coursera-neural-net

Assignments for Geoffrey Hinton's Neural Net Course on Coursera, translated from (gross)Matlab into (beautiful)Python.

cs229-cn icon cs229-cn

A Chinese Translation of Stanford CS229 notes 斯坦福机器学习CS229课程讲义的中文翻译

cs291k icon cs291k

🎭 Sentiment Analysis of Twitter data using combined CNN and LSTM Neural Network models

cvae icon cvae

Conditional variational autoencoder implementation in Torch

deep-fbanks icon deep-fbanks

Deep Filter Banks for Texture Recognition, Description and Segmentation (CVPR15)

deep-learning-book icon deep-learning-book

Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"

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