314rated

314rated's Stars

• jacobeisenstein/gt-nlp-class

  Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"

  Language:TeX5k320281.1k

• msracver/Deformable-ConvNets

  Deformable Convolutional Networks

  Language:Python4.1k126262957

• clab/dynet

  DyNet: The Dynamic Neural Network Toolkit

  Language:C++3.4k184935703

• cemoody/lda2vec

  Language:Python3.2k11981628

• salesforce/decaNLP

  The Natural Language Decathlon: A Multitask Challenge for NLP

  Language:Python2.3k11740470

• hse-aml/natural-language-processing

  Resources for "Natural Language Processing" Coursera course.

  Language:Jupyter Notebook1.2k59302k

• chrisjmccormick/word2vec_commented

  Commented (but unaltered) version of original word2vec C implementation.

  Language:C800348228

• HKUST-KnowComp/R-Net

  Tensorflow Implementation of R-Net

  Language:Python5783458210

• AntreasAntoniou/DAGAN

  DAGAN: Data Augmentation Generative Adversarial Networks

  Language:Python4152131103

• aelnouby/Text-to-Image-Synthesis

  Pytorch implementation of Generative Adversarial Text-to-Image Synthesis paper

  Language:Python405153789

• AliaksandrSiarohin/pose-gan

  Language:Python382185579

• jiasenlu/AdaptiveAttention

  Implementation of "Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning"

  Language:Jupyter Notebook335132574

• caoyue10/DeepHash-Papers

  Must-read papers on deep learning to hash (DeepHash)

  32227179

• charliememory/Pose-Guided-Person-Image-Generation

  Tensorflow implementation of our NIPS 2017 paper "Pose Guided Person Image Generation"

  Language:Python301164782

• KranthiGV/Pretrained-Show-and-Tell-model

  This repository contains pretrained Show and Tell: A Neural Image Caption Generator implemented in Tensorflow.

  197153045

• charliememory/Disentangled-Person-Image-Generation

  Tensorflow implementation of CVPR 2018 paper "Disentangled Person Image Generation"

  Language:Python164201340

• mjhucla/Google_Refexp_toolbox

  The toolbox for the Google Refexp dataset proposed in this paper: http://arxiv.org/abs/1511.02283

  Language:Jupyter Notebook16211546

• s-gupta/visual-concepts

  Code for detecting visual concepts in images.

  Language:Python151132257

• Zhaoyi-Yan/Shift-Net

  Shift-Net: Image Inpainting via Deep Feature Rearrangement (ECCV, 2018)

  Language:Lua10151217

• chrisdonahue/sdgan

  Official implementation of "Semantically Decomposing the Latent Spaces of Generative Adversarial Networks"

  Language:Python959219

• ronghanghu/text_objseg

  Code release for Hu et al. Segmentation from Natural Language Expressions. in ECCV, 2016

  Language:Jupyter Notebook865832

• taspinar/sidl

  Deep Learning code

  Language:Jupyter Notebook598652

• chapternewscu/image-captioning-with-semantic-attention

  Language:Jupyter Notebook516217

• mspandit/rnnlm

  Tomas Mikolov's Recurrent Neural Networks Language Modeling Toolkit from http://www.rnnlm.org, with tagged historical releases.

  Language:C++465013

• CPJKU/cca_layer

  Implementation of Canonical Correlation Analysis Layer for Cross-Modality Retrieval.

  Language:Python318112

• kaluo-zZ/CVPR2018-papers

  214011

• mikigom/WGAN-LP-tensorflow

  Reproduction code for WGAN-LP

  Language:Python15608

• dlacombejr/tLCA

  Language:Matlab8300

• zhiyong1997/Semantic-Alignment-for-Hierarchical-Image-Captioning

  Course project for computer vision.

  Language:Python2203

• ltt-gddxz/DAGAN

  Data Augmentation Generative Adversarial Networks

  Language:Python1200