All Projects → ai-visual-storytelling-seq2seq → Similar Projects or Alternatives

447 Open source projects that are alternatives of or similar to ai-visual-storytelling-seq2seq

Deep News Summarization
News summarization using sequence to sequence model with attention in TensorFlow.
Stars: ✭ 167 (+234%)
dts
A Keras library for multi-step time-series forecasting.
Stars: ✭ 130 (+160%)
Mead Baseline
Deep-Learning Model Exploration and Development for NLP
Stars: ✭ 238 (+376%)
Embedding
Embedding模型代码和学习笔记总结
Stars: ✭ 25 (-50%)
Mutual labels:  seq2seq, encoder-decoder
Tf Seq2seq
Sequence to sequence learning using TensorFlow.
Stars: ✭ 387 (+674%)
Mutual labels:  seq2seq, encoder-decoder
Text summurization abstractive methods
Multiple implementations for abstractive text summurization , using google colab
Stars: ✭ 359 (+618%)
Mutual labels:  seq2seq, encoder-decoder
Speech recognition with tensorflow
Implementation of a seq2seq model for Speech Recognition using the latest version of TensorFlow. Architecture similar to Listen, Attend and Spell.
Stars: ✭ 253 (+406%)
Mutual labels:  seq2seq, encoder-decoder
Sockeye
Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet
Stars: ✭ 990 (+1880%)
Mutual labels:  seq2seq, encoder-decoder
Text Summarization Tensorflow
Tensorflow seq2seq Implementation of Text Summarization.
Stars: ✭ 527 (+954%)
Mutual labels:  seq2seq, encoder-decoder
Pytorch Seq2seq
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
Stars: ✭ 3,418 (+6736%)
Mutual labels:  seq2seq, encoder-decoder
Screenshot To Code
A neural network that transforms a design mock-up into a static website.
Stars: ✭ 13,561 (+27022%)
Mutual labels:  seq2seq, encoder-decoder
Komputation
Komputation is a neural network framework for the Java Virtual Machine written in Kotlin and CUDA C.
Stars: ✭ 295 (+490%)
Conversational-AI-Chatbot-using-Practical-Seq2Seq
A simple open domain generative based chatbot based on Recurrent Neural Networks
Stars: ✭ 17 (-66%)
Text Classification Models Pytorch
Implementation of State-of-the-art Text Classification Models in Pytorch
Stars: ✭ 379 (+658%)
NeuralCodeTranslator
Neural Code Translator provides instructions, datasets, and a deep learning infrastructure (based on seq2seq) that aims at learning code transformations
Stars: ✭ 32 (-36%)
Mutual labels:  seq2seq, encoder-decoder
Seq2Seq-chatbot
TensorFlow Implementation of Twitter Chatbot
Stars: ✭ 18 (-64%)
Encoder decoder
Four styles of encoder decoder model by Python, Theano, Keras and Seq2Seq
Stars: ✭ 269 (+438%)
Mutual labels:  seq2seq, encoder-decoder
Text summarization with tensorflow
Implementation of a seq2seq model for summarization of textual data. Demonstrated on amazon reviews, github issues and news articles.
Stars: ✭ 226 (+352%)
Mutual labels:  seq2seq, encoder-decoder
Transformer Temporal Tagger
Code and data form the paper BERT Got a Date: Introducing Transformers to Temporal Tagging
Stars: ✭ 55 (+10%)
Mutual labels:  seq2seq, encoder-decoder
Deep-Learning-Tensorflow
Gathers Tensorflow deep learning models.
Stars: ✭ 50 (+0%)
LSM
Liquid State Machines in Python and NEST
Stars: ✭ 39 (-22%)
Mutual labels:  recurrent-neural-networks
pytorch-transformer-chatbot
PyTorch v1.2에서 생긴 Transformer API 를 이용한 간단한 Chitchat 챗봇
Stars: ✭ 44 (-12%)
Mutual labels:  seq2seq
lstm-math
Neural network that solves math equations on the character level
Stars: ✭ 26 (-48%)
Mutual labels:  seq2seq
DeepSeparation
Keras Implementation and Experiments with Deep Recurrent Neural Networks for Source Separation
Stars: ✭ 19 (-62%)
Mutual labels:  recurrent-neural-networks
dhs summit 2019 image captioning
Image captioning using attention models
Stars: ✭ 34 (-32%)
Mutual labels:  encoder-decoder
Image-Caption
Using LSTM or Transformer to solve Image Captioning in Pytorch
Stars: ✭ 36 (-28%)
Mutual labels:  encoder-decoder
jzon
A correct and safe JSON parser.
Stars: ✭ 78 (+56%)
Mutual labels:  encoder-decoder
RNNSearch
An implementation of attention-based neural machine translation using Pytorch
Stars: ✭ 43 (-14%)
Mutual labels:  seq2seq
deep-molecular-optimization
Molecular optimization by capturing chemist’s intuition using the Seq2Seq with attention and the Transformer
Stars: ✭ 60 (+20%)
Mutual labels:  seq2seq
STORN-keras
This is a STORN (Stochastical Recurrent Neural Network) implementation for keras!
Stars: ✭ 23 (-54%)
Mutual labels:  recurrent-neural-networks
Singing-Voice-Separation-RNN
Singing-Voice Separation From Monaural Recordings Using Deep Recurrent Neural Networks
Stars: ✭ 44 (-12%)
Mutual labels:  recurrent-neural-networks
ConvLSTM-PyTorch
ConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST
Stars: ✭ 202 (+304%)
Mutual labels:  encoder-decoder
transformer
Neutron: A pytorch based implementation of Transformer and its variants.
Stars: ✭ 60 (+20%)
Mutual labels:  seq2seq
automatic-personality-prediction
[AAAI 2020] Modeling Personality with Attentive Networks and Contextual Embeddings
Stars: ✭ 43 (-14%)
Mutual labels:  recurrent-neural-networks
nyyelp
predicting yelp review rating using recurrent neural networks
Stars: ✭ 20 (-60%)
Mutual labels:  recurrent-neural-networks
Deep-Learning
This repo provides projects on deep-learning mainly using Tensorflow 2.0
Stars: ✭ 22 (-56%)
Mutual labels:  recurrent-neural-networks
visual syntactic embedding video captioning
Source code of the paper titled *Improving Video Captioning with Temporal Composition of a Visual-Syntactic Embedding*
Stars: ✭ 23 (-54%)
Mutual labels:  encoder-decoder
classifying-cancer
A Python-Tensorflow neural network for classifying cancer data
Stars: ✭ 30 (-40%)
Mutual labels:  recurrent-neural-networks
NeuralCitationNetwork
Neural Citation Network for Context-Aware Citation Recommendation (SIGIR 2017)
Stars: ✭ 24 (-52%)
Mutual labels:  seq2seq
DLCV2018SPRING
Deep Learning for Computer Vision (CommE 5052) in NTU
Stars: ✭ 38 (-24%)
Mutual labels:  seq2seq
Neural Conversation Models
Tensorflow based Neural Conversation Models
Stars: ✭ 29 (-42%)
Mutual labels:  seq2seq
BERT-NER
Using pre-trained BERT models for Chinese and English NER with 🤗Transformers
Stars: ✭ 114 (+128%)
Mutual labels:  seq2seq
dl-relu
Deep Learning using Rectified Linear Units (ReLU)
Stars: ✭ 20 (-60%)
Mutual labels:  recurrent-neural-networks
Base-On-Relation-Method-Extract-News-DA-RNN-Model-For-Stock-Prediction--Pytorch
基於關聯式新聞提取方法之雙階段注意力機制模型用於股票預測
Stars: ✭ 33 (-34%)
Mutual labels:  seq2seq
fiction generator
Fiction generator with Tensorflow. 模仿王小波的风格的小说生成器
Stars: ✭ 27 (-46%)
Mutual labels:  seq2seq
neural-chat
An AI chatbot using seq2seq
Stars: ✭ 30 (-40%)
Mutual labels:  seq2seq
deeptrolldetector
Deep troll uses a deep learning model that identifies whether an audio contains the Gemidao troll (AAAWN OOOWN NHAAA AWWWWN AAAAAH).
Stars: ✭ 20 (-60%)
Mutual labels:  recurrent-neural-networks
recsys2019
The complete code and notebooks used for the ACM Recommender Systems Challenge 2019
Stars: ✭ 26 (-48%)
Mutual labels:  recurrent-neural-networks
FontRNN
Implementation of FontRNN [Computer Graphics Forum, 2019].
Stars: ✭ 27 (-46%)
Mutual labels:  seq2seq
Video-Cap
🎬 Video Captioning: ICCV '15 paper implementation
Stars: ✭ 44 (-12%)
Mutual labels:  seq2seq
Nuts
自然语言处理常见任务(主要包括文本分类,序列标注,自动问答等)解决方案试验田
Stars: ✭ 21 (-58%)
Mutual labels:  seq2seq
deep-keyphrase
seq2seq based keyphrase generation model sets, including copyrnn copycnn and copytransfomer
Stars: ✭ 51 (+2%)
Mutual labels:  seq2seq
MoChA-pytorch
PyTorch Implementation of "Monotonic Chunkwise Attention" (ICLR 2018)
Stars: ✭ 65 (+30%)
Mutual labels:  seq2seq
Encoder-Forest
eForest: Reversible mapping between high-dimensional data and path rule identifiers using trees embedding
Stars: ✭ 22 (-56%)
Mutual labels:  encoder-decoder
Meetup-Content
Entirety.ai Intuition to Implementation Meetup Content.
Stars: ✭ 33 (-34%)
Mutual labels:  recurrent-neural-networks
imessage-chatbot
💬 Recurrent neural network -- generates messages in your style of speech! Trained on imessage data. Sqlite3, TensorFlow, Flask, Twilio SMS, AWS.
Stars: ✭ 33 (-34%)
Mutual labels:  recurrent-neural-networks
cnn-seq2seq
No description or website provided.
Stars: ✭ 39 (-22%)
Mutual labels:  seq2seq
rnn darts fastai
Implement Differentiable Architecture Search (DARTS) for RNN with fastai
Stars: ✭ 21 (-58%)
Mutual labels:  recurrent-neural-networks
course-content-dl
NMA deep learning course
Stars: ✭ 537 (+974%)
Mutual labels:  recurrent-neural-networks
classy
classy is a simple-to-use library for building high-performance Machine Learning models in NLP.
Stars: ✭ 61 (+22%)
Mutual labels:  seq2seq
1-60 of 447 similar projects