Pinned Repositories
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.
models
Models built with TensorFlow
tf_weights
A TensorFlow implementation of AlexNet with pretrained weights
elani0's Repositories
elani0/models
Models built with TensorFlow
elani0/tf_weights
A TensorFlow implementation of AlexNet with pretrained weights
elani0/arctic-captions
elani0/autoencoder
Text autoencoder with LSTMs
elani0/BPMLL
Wrapper around the BPMLL model to obtain results on benchmark multilabel datasets.
elani0/caffe
Caffe: a fast open framework for deep learning.
elani0/coco-caption
elani0/cocofetch
[Py] download mscoco dataset
elani0/gensim
Topic Modelling for Humans
elani0/LDA
Modify the GibbsLDA++ and use perplexity to evaluate the topic model.
elani0/lda-1
Topic modeling with latent Dirichlet allocation using Gibbs sampling
elani0/leetcode-python-solutions
python solutions of Leetcode Problems
elani0/LeetCode_Problem_easy
solutions of some easy problems of LeetCode
elani0/neuraltalk
NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.
elani0/neuraltalk2
Efficient Image Captioning code in Torch, runs on GPU
elani0/seq2seq
A general-purpose encoder-decoder framework for Tensorflow
elani0/SupervisedDeepDocNADE
A Deep and Autoregressive Approach for Topic Modeling of Multimodal Data, TPAMI, http://arxiv.org/abs/1409.3970
elani0/tensorflow
Computation using data flow graphs for scalable machine learning
elani0/TensorFlow-Examples
TensorFlow tutorials and code examples for beginners
elani0/tensorflow-zh
谷歌全新开源人工智能系统TensorFlow官方文档中文版
elani0/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.
elani0/topic_modelling
Implementation of the "Topic Models for Image Annotation and Text Illustration" paper by Lapata & Feng 2010
elani0/torch7
http://torch.ch