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

nlp lecture-notes and source code

ICDAR 2019 Robust Reading Challenge on Scanned Receipts OCR and Information Extraction

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)

Natural Language Processing with TensorFlow, published by Packt

Neural word segmentation with rich pretraining, code for ACL 2017 paper

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch. Based on code of https://github.com/karpathy/char-rnn. Support Chinese and other things.

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

A cute multi-layer LSTM that can perform like a human 🎶

No description or website provided.

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

LSTM based human activity recognition using smart phone sensor dataset

Activity Recognition Algorithms for the Charades Dataset

Generate Thai Songs' lyrics using Deep Learning

Anomaly detection for temporal data using LSTMs

Image Captioning Using Transformer

A resource for learning about deep learning techniques from regression to LSTM and Reinforcement Learning using financial data and the fitness functions of algorithmic trading

Vanilla LSTM with numpy

Attention-based multimodal fusion for sentiment analysis

CS231n Assignments Solutions - Spring 2020

5th place solution for Kaggle competition Favorita Grocery Sales Forecasting

experiments on classifying actions using poses

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

Deep learning driven jazz generation using Keras & Theano!

News summarization using sequence to sequence model with attention in TensorFlow.

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

Activity Recognition from 2D pose using an LSTM RNN

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

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

Implementations of machine learning algorithm by Python 3

Library of autoencoders for sequential data

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！！

Keras implementation of Legendre Memory Units

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

Sentiment analysis on Amazon Review Dataset available at http://snap.stanford.edu/data/web-Amazon.html

🤖 Neural SPARQL Machines for Knowledge Graph Question Answering.

Aircraft engine failure prediction model

Multi dimensional LSTM as described in Alex Graves' Paper https://arxiv.org/pdf/0705.2011.pdf

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

Code for Mimicking Word Embeddings using Subword RNNs (EMNLP 2017)

RNN-LSTM that learns passwords from a starting list

This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.

A simple effective ToolKit for short text matching

PyTorch implementation of Full Resolution Image Compression with Recurrent Neural Networks

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

Predict Race and Ethnicity Based on the Sequence of Characters in a Name

A Collection of resources I have found useful on my journey finding my way through the world of Deep Learning.

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

Explore Action Recognition

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

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

host load prediction with Long Short-Term Memory in cloud computing

Reasoning Over Knowledge Graph Paths for Recommendation

第三届魔镜杯 智能客服问题相似性算法设计 第12名解决方案

Scripts and tools to easily communicate with DeepGTAV. In the future a self-driving agent will be implemented.

crnn.caffe

⚛️ It is keras based implementation of siamese architecture using lstm encoders to compute text similarity

Siamese LSTM for evaluating semantic similarity between sentences of the Quora Question Pairs Dataset.