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arctic-captions

autoencoder

Text autoencoder with LSTMs

bpmll

Wrapper around the BPMLL model to obtain results on benchmark multilabel datasets.

caffe

Caffe: a fast open framework for deep learning.

coco-caption

cocofetch

[Py] download mscoco dataset

gensim

Topic Modelling for Humans

lda

Modify the GibbsLDA++ and use perplexity to evaluate the topic model.

lda-1

Topic modeling with latent Dirichlet allocation using Gibbs sampling

leetcode-python-solutions

python solutions of Leetcode Problems

leetcode_problem_easy

solutions of some easy problems of LeetCode

models

Models built with TensorFlow

neuraltalk

NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.

neuraltalk2

Efficient Image Captioning code in Torch, runs on GPU

seq2seq

A general-purpose encoder-decoder framework for Tensorflow

superviseddeepdocnade

A Deep and Autoregressive Approach for Topic Modeling of Multimodal Data, TPAMI, http://arxiv.org/abs/1409.3970

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow-examples

TensorFlow tutorials and code examples for beginners

tensorflow-zh

谷歌全新开源人工智能系统TensorFlow官方文档中文版

tf_weights

A TensorFlow implementation of AlexNet with pretrained weights

theano

Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.

topic_modelling

Implementation of the "Topic Models for Image Annotation and Text Illustration" paper by Lapata & Feng 2010

torch7

http://torch.ch