cbaziotis/keras-utilities cbaziotis/keras-utilities

  • Stars
    star
    30
  • Rank 839,658 (Top 17 %)
  • Language
    Python
  • License
    MIT License
  • Created almost 8 years ago
  • Updated almost 2 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
cbaziotis/keras-utilities
github

cbaziotis

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

Utilities for Keras - Deep Learning library

More Repositories

1

ekphrasis

Ekphrasis is a text processing tool, geared towards text from social networks, such as Twitter or Facebook. Ekphrasis performs tokenization, word normalization, word segmentation (for splitting hashtags) and spell correction, using word statistics from 2 big corpora (english Wikipedia, twitter - 330mil english tweets).
Python
647
star
2

neat-vision

Neat (Neural Attention) Vision, is a visualization tool for the attention mechanisms of deep-learning models for Natural Language Processing (NLP) tasks. (framework-agnostic)
Vue
247
star
3

datastories-semeval2017-task4

Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".
Python
195
star
4

ntua-slp-semeval2018

Deep-learning models of NTUA-SLP team submitted in SemEval 2018 tasks 1, 2 and 3.
Python
83
star
5

lm-prior-for-nmt

This repository contains source code for the paper "Language Model Prior for Low-Resource Neural Machine Translation"
Jupyter Notebook
38
star
6

twitter-stream-downloader

A service for downloading twitter streaming data. You can save the data either in text files on disk, or in a database (MongoDB).
Python
22
star
7

datastories-semeval2017-task6

Deep-learning model presented in "DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison".
Python
20
star
8

prolog-cfg-parser

A toy SWI-Prolog context-free grammar (CFG) parser, that extracts knowledge (facts) from text.
Prolog
18
star
9

hierarchical-rnn-biocreative-4

Repository containing the winning submission for the BioCreative VI Task A (2017). The model is a Hierarchical Bidirectional Attention-Based RNN, implemented in Keras.
Python
8
star
10

patric-triangles

MPI implementation of a parallel algorithm for finding the exact number of triangles in massive networks
C++
5
star
11

ntua-slp-semeval2018-task2

Deep-learning models submitted by NTUA-SLP team in SemEval 2018 Task 2: Multilingual Emoji Prediction https://arxiv.org/abs/1804.06657
3
star
12

ntua-slp-semeval2018-task1

Deep-learning models submitted by NTUA-SLP team in SemEval 2018 Task 1: Affect in Tweets https://arxiv.org/abs/1804.06658
3
star
13

ntua-slp-pytorch-ex-1

First assignment for familiarising yourself with PyTorch. The goal of the assignment is to implement a baseline RNN model for sentiment classification in Twitter messages, by completing the missing parts in the code :)
Python
1
star
14

nmt-pretraining-objectives

This repository contains the source code and data for the paper: "Exploration of Unsupervised Pretraining Objectives for Machine Translation" in Findings of ACL 2021.
Python
1
star