804 Open source projects that are alternatives of or similar to keras-deep-learning

A neural network to generate captions for an image using CNN and RNN with BEAM Search.

[AAAI 2020] Modeling Personality with Attentive Networks and Contextual Embeddings

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

Patient2Vec: A Personalized Interpretable Deep Representation of the Longitudinal Electronic Health Record

Fiction generator with Tensorflow. 模仿王小波的风格的小说生成器

My solutions for Assignments of CS231n: Convolutional Neural Networks for Visual Recognition

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

The project uses state of the art deep learning on collected data for automatic analysis of emotions.

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

Implementation of abstractive summarization using LSTM in the encoder-decoder architecture with local attention.

attention-based LSTM/Dense implemented by Keras

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

Attention-based multimodal fusion for sentiment analysis

Code for Paper Abstract Writing through Editing Mechanism

模仿莎士比亚创作戏剧！屌炸天的是还能创作金庸武侠小说！快star，保持更新！！

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

Chinese Poetry Generation

Spectrum is an AI that uses machine learning to generate Rap song lyrics

Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.

Playground for implementing custom layers and other components compatible with keras, with the purpose to learn the framework better and perhaps in future offer some utils for others.

A recurrent attention module consisting of an LSTM cell which can query its own past cell states by the means of windowed multi-head attention. The formulas are derived from the BN-LSTM and the Transformer Network. The LARNN cell with attention can be easily used inside a loop on the cell state, just like any other RNN. (LARNN)

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

A bidirectional LSTM with attention for multiclass/multilabel text classification.

Code for PaperRobot: Incremental Draft Generation of Scientific Ideas

Code for Describing a Knowledge Base

Implementation of a hierarchical CNN based model to detect Big Five personality traits

Implementation of Uniformer, a simple attention and 3d convolutional net that achieved SOTA in a number of video classification tasks, debuted in ICLR 2022

Sentiment Analysis: Deep Bi-LSTM+attention model

A neural network that transforms a design mock-up into a static website.

Implementation of STAM (Space Time Attention Model), a pure and simple attention model that reaches SOTA for video classification

Word Sense Disambiguation using Word Specific models, All word models and Hierarchical models in Tensorflow

Sequence analyzing using Recurrent Neural Networks (RNN) based on Keras

Arbitrary Style Transfer with Style-Attentional Networks

An original implementation of "3HAN: A Deep Neural Network for Fake News Detection" (ICONIP 2017)

codes for paper "Domain Attention Model for Multi-Domain Sentiment Classification"

A comparison between humans, neuroevolution and multilayer perceptrons playing Flapy Bird implemented in Python

[NAACL2018] Entity Commonsense Representation for Neural Abstractive Summarization

Advanced Deep Learning

A simplification of Tensorflow Tensor Operations

Optical character recognition Using Deep Learning

Implementation of ABCNN(Attention-Based Convolutional Neural Network) on Pytorch

Chinese Word Segmention Base on the Deep Learning and LSTM Neural Network

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

Forecasting Solar Power: Analysis of using a LSTM Neural Network

Our deep learning for computer vision related project for nostalgic poke weebs (Sistemi digitali, Unibo).

Official repo of the article: Yousef, W. A., Ibrahime, O. M., Madbouly, T. M., & Mahmoud, M. A. (2019), "Learning meters of arabic and english poems with recurrent neural networks: a step forward for language understanding and synthesis", arXiv preprint arXiv:1905.05700

Implementation of the 😇 Attention layer from the paper, Scaling Local Self-Attention For Parameter Efficient Visual Backbones

dentifying gender and regional accent from speech

Speaker Diarization is the problem of separating speakers in an audio. There could be any number of speakers and final result should state when speaker starts and ends. In this project, we analyze given audio file with 2 channels and 2 speakers (on separate channels).

Predict traffic flow with LSTM. For experimental purposes only, unsupported!

[AAAI2021] Unsupervised Opinion Summarization with Content Planning

Replace FC2, LeNet-5, VGG, Resnet, Densenet's full-connected layers with MPO

Online Hand Writing Recognition using BLSTM

Recurrent Neural Networks (RNN, GRU, LSTM) and their Bidirectional versions (BiRNN, BiGRU, BiLSTM) for word & character level language modelling in Theano

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Neural network that solves math equations on the character level

Deep Character CNN LSTM Encoder with Classification and Similarity Models

Drug effect prediction using neural network

Attention Gated VNet3D Model for KiTS19——2019 Kidney Tumor Segmentation Challenge

A Simple Deep Neural Network to classify images made with Keras