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100-nlp-papers

100 Must-Read NLProc Papers

2016

alexhwoods.com

All code and data relating to blog posts will be in this repository. View blog at alexhwoods.com

angel

A Flexible and Powerful Parameter Server for large-scale machine learning

arm-clock

build a digit clock and thermometer with LPC1768 Cortax-M3 and a LCD display.

arxiv-sanity-preserver

Web interface for browsing, search and filtering recent arxiv submissions

attention-cnn-work

attention-ocr

Visual Attention based OCR

author2vec

awesome-2vec

Curated list of 2vec-type embedding models

awesome-cheatsheet

:beers: awesome cheatsheet

awesome-chinese-nlp

A curated list of resources for NLP (Natural Language Processing) for Chinese 中文自然语言处理相关资料

awesome-computer-vision

A curated list of awesome computer vision resources

awesome-deep-learning-papers

The most cited deep learning papers

awesome-deeplearning-resources

Deep Learning and deep reinforcement learning research papers and some codes

awesome-dl4nlp

A curated list of awesome Deep Learning for Natural Language Processing resources

awesome-embedding-models

A curated list of awesome embedding models tutorials, projects and communities.

awesome-github-repo

A curated list of awesome GitHub repositories. Inspired by awesome-python, which is inspired by awesome-php.

awesome-information-bottleneck

This is a curated list for Information Bottleneck Principle, in memory of Professor Naftali Tishby.

awesome-network-embedding

A curated list of network embedding techniques.

awesome-rnn

Recurrent Neural Network - A curated list of resources dedicated to RNN

awesome-tensorflow

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

big-data-resources

:boom:大数据/数据挖掘/推荐系统/机器学习相关资源

binarynet

Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

caffe

Caffe: a fast open framework for deep learning.

caffe-lstm

LSTM implementation on Caffe

caption-guided-saliency

Supplementary material to "Top-down Visual Saliency Guided by Captions" (CVPR 2017)

cgi

Contrastive Graph Structure Learning via Information Bottleneck for Recommendation

char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

charcnn