453 Open source projects that are alternatives of or similar to Show_and_Tell

A pytorch implemention of "StyleNet: Generating Attractive Visual Captions with Styles"

The projects I do in Machine Learning with PyTorch, keras, Tensorflow, scikit learn and Python.

[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow

Image Captioning: Implementing the Neural Image Caption Generator with python

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

A modular library built on top of Keras and TensorFlow to generate a caption in natural language for any input image.

Implementation of Neural Image Captioning model using Keras with Theano backend

Image Captioning using InceptionV3 and beam search

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

Automatic image captioning model based on Caffe, using features from bottom-up attention.

A bidirectional encoder-decoder LSTM neural network is trained for text summarization on the cnn/dailymail dataset. (MIT808 project)

A Python(PyTorch) implementation of memory augmented neural network based on Ritter et al. (2018). Been There, Done That: Meta-Learning with Episodic Recall. ICML.

GPU/CPU (CUDA) Implementation of "Recurrent Memory Array Structures", Simple RNN, LSTM, Array LSTM..

KU_NERDY 이동엽, 임희석 (2017 국어 정보 처리 시스템경진대회 금상) - 한글 및 한국어 정보처리 학술대회

Hands-on in-person workshop for Deep Learning with TensorFlow

Enhanced BiLSTM Inference Model for Natural Language Inference

My solutions to the projects assigned for the Udacity Computer Vision Nanodegree

Generating image captions using Xception Network and Beam Search in Keras

No description or website provided.

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

Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type of movement amongst 6 categories or 18 categories on 2 different datasets.

使用LSTM训练生成古诗模型，其中生成器可以指定生成风格进行输出

Sarcasm Detection for Sentiment Analysis

A gui for tesseractOCR with some preprocessing image options (OpenCV) for improve character recognition

Nested LSTM Cell

Efficient, transparent deep learning in hundreds of lines of code.

This is a project implementing Computer Vision and Deep Learning concepts to detect drowsiness of a driver and sound an alarm if drowsy.

nlp lecture-notes and source code

Rainfall analysis of Maharashtra - Season/Month wise forecasting. Different methods have been used. The main goal of this project is to increase the performance of forecasted results during rainy seasons.

基於DA-RNN之DSTP-RNN論文試做(Ver1.0)

This repo includes all the projects I have finished in the Udacity Nanodegree programs

No description or website provided.

LSTM based human activity recognition using smart phone sensor dataset

Generate Thai Songs' lyrics using Deep Learning

Image Captioning Using Transformer

Vanilla LSTM with numpy

CS231n Assignments Solutions - Spring 2020

experiments on classifying actions using poses

Deep learning driven jazz generation using Keras & Theano!

LSTM sentiment analysis. Please look at my another repo for SVM and Naive algorithem

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

Implementations of machine learning algorithm by Python 3

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！！

This repo contains a PyTorch implementation of a BiLSTM-CRF model for named entity recognition task.

Video prediction using lstm and unet

Traffic Flow Prediction with Neural Networks(SAEs、LSTM、GRU).

Aircraft engine failure prediction model

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

RNN-LSTM that learns passwords from a starting list

One Shot Learning using Memory-Augmented Neural Networks (MANN) based on Neural Turing Machine architecture in Tensorflow

A simple effective ToolKit for short text matching

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

PredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs

A pytorch implementation of "Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering" for image captioning.

UrbanSound classification using Convolutional Recurrent Networks in PyTorch

What and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment [CVPR 2019]

Natural Language Processing with TensorFlow, published by Packt

Recurrent Neural Network and Long Short Term Memory (LSTM) with Connectionist Temporal Classification implemented in Theano. Includes a Toy training example.

Using LSTM network for time series forecasting