455 Open source projects that are alternatives of or similar to minimal-nmt

Theano implementation of Sequence-to-Sequence Autoencoder

Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch

Question answering system developed using seq2seq and memory network model in Keras

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

Transformer based on a variant of attention that is linear complexity in respect to sequence length

Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier

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

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

Coherent Semantic Attention for image inpainting(ICCV 2019)

CLUENER2020 中文细粒度命名实体识别 Fine Grained Named Entity Recognition

Sparse and structured neural attention mechanisms

A Fast Neural Machine Translation System. It is developed in C++ and resorts to NiuTensor for fast tensor APIs.

Unofficial tensorflow implemention of "Attentive Generative Adversarial Network for Raindrop Removal from A Single Image (CVPR 2018) " model https://maybeshewill-cv.github.io/attentive-gan-derainnet/

Sequence to Sequence Models with PyTorch

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

[ACM MM 2017 & IEEE TMM 2020] This is the Theano code for the paper "Video Description with Spatial Temporal Attention"

attention based joint model for intent detection and slot filling

Play couplet with seq2seq model. 用深度学习对对联。

attention-based LSTM/Dense implemented by Keras

Implementation of Slot Attention from GoogleAI

Tensorflow seq2seq Implementation of Text Summarization.

網頁聊天機器人 | tensorflow implementation of seq2seq model with bahdanau attention and Word2Vec pretrained embedding

Embedding, NMT, Text_Classification, Text_Generation, NER etc.

Seq2seq chatbot with attention and anti-language model to suppress generic response, option for further improve by deep reinforcement learning.

Important paper implementations for Question Answering using PyTorch

A wrapper around tensor2tensor to flexibly train, interact, and generate data for neural chatbots.

Hierarchical Attentive Recurrent Tracking

Attention mechanism in CNNs to extract events of interest

[ACM MM 2018] Attribute-Aware Attention Model for Fine-grained Representation Learning

Deep-Learning based CTR models implemented by PyTorch

seq2seq attention tensorflow textrank context

The code of CIKM'19 paper《Hierarchical Multi-label Text Classification: An Attention-based Recurrent Network Approach》

Official PyTorch implementation of our IGARSS'22 paper: A Transformer-Based Siamese Network for Change Detection

Image Captioning using InceptionV3 and beam search

A fast implementation of Neural Image Caption by Chainer

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

source code for signed graph attention networks (ICANN2019) & SDGNN (AAAI2021)

An Implementation of 'Attention is all you need' with Chinese Corpus

TianChi AIEarth Contest Solution

Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning

Source code for end-to-end dialogue model from the MultiWOZ paper (Budzianowski et al. 2018, EMNLP)

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

A prototype version of our submitted paper: Conversion Prediction Using Multi-task Conditional Attention Networks to Support the Creation of Effective Ad Creatives.

[CVPR 2021, Oral] PREDATOR: Registration of 3D Point Clouds with Low Overlap.

Multiple implementations for abstractive text summurization , using google colab

[CVPR 2020] Official Implementation: "Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models".

Neural Models for Key Phrase Detection and Question Generation

Reformer, the efficient Transformer, in Pytorch

A collection of time series prediction methods: rnn, seq2seq, cnn, wavenet, transformer, unet, n-beats, gan, kalman-filter

Implementation of RETRO, Deepmind's Retrieval based Attention net, in Pytorch

Solving and GUI demonstration of traditional N-Queens Problem using Hill Climbing, Simulated Annealing, Local Beam Search, and Genetic Algorithm.

TensorFlow implementation of Conversation Models

Tensorflow with KenLM integrated for beam search scoring

PyTorch implementation of AAAI 2021 paper: A Hybrid Attention Mechanism for Weakly-Supervised Temporal Action Localization

Learnable Multi-level Frequency Decomposition and Hierarchical Attention Mechanism for Generalized Face Presentation Attack Detection

Gathers Tensorflow deep learning models.

multi-label，classifier，text classification，多标签文本分类，文本分类，BERT，ALBERT，multi-label-classification，seq2seq，attention，beam search

Tools for filtering and cleaning parallel and monolingual corpora for machine translation and other natural language processing tasks.

Mid-level PyTorch Based Framework for Visual Question Answering.

a Deep learning based chatbot implemented by Tensorflow with beam search (forked from Conchylicultor/DeepQA)