432 Open source projects that are alternatives of or similar to RNNSearch

Implementation of a seq2seq model for summarization of textual data. Demonstrated on amazon reviews, github issues and news articles.

Neural machine translation between the writings of Shakespeare and modern English using TensorFlow

Implementation of "Effective Adversarial Regularization for Neural Machine Translation", ACL 2019

Seq2Seq, Bert, Transformer, WaveNet for time series prediction.

Implementation of a seq2seq model for Speech Recognition using the latest version of TensorFlow. Architecture similar to Listen, Attend and Spell.

Sequence to Sequence Models in PyTorch

A Pytorch Implementation of Attentive Neural Process

Code for "Free-Lunch Saliency via Attention in Atari Agents"

PyTorch implementation of Lambda Network and pretrained Lambda-ResNet

Code and datasets of "Multilingual Extractive Reading Comprehension by Runtime Machine Translation"

nlp lecture-notes and source code

UPC Deep Learning for Speech and Language 2018

Source code for the ICLR 2021 work "Generating Adversarial Computer Programs using Optimized Obfuscations"

Enhanced BiLSTM Inference Model for Natural Language Inference

Implementation of H-Transformer-1D, Hierarchical Attention for Sequence Learning

Using pre-trained BERT models for Chinese and English NER with 🤗Transformers

NLP: Relation extraction with position-aware self-attention transformer

kbqa task-oriented qa seq2seq ir neo4j jena seq2seq tf chatbot chat

텐서플로2와 머신러닝으로 시작하는 자연어처리 (로지스틱회귀부터 BERT와 GPT3까지) 실습자료

A seq2seq with attention dialogue/MT model implemented by TensorFlow.

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

seq2seq based keyphrase generation model sets, including copyrnn copycnn and copytransfomer

Simple keras chat bot using seq2seq model with Flask serving web

Tensorflow Implementation of Stochastic Wasserstein Autoencoder for Probabilistic Sentence Generation (NAACL 2019).

[ICCV 2021] TRAR: Routing the Attention Spans in Transformers for Visual Question Answering -- Official Implementation

PyTorch port of the paper "Language to Logical Form with Neural Attention"

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

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

[IEEE TNSRE] "An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG"

Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022

Attentional Learning of Trash Classification

Several basic neural machine translation models implemented by PyTorch & TensorFlow

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

Sanskrit compound segmentation using seq2seq model

Implementation of the paper Recurrent Independent Mechanisms (https://arxiv.org/pdf/1909.10893.pdf)

Transliterating English to Hindi using Recurrent Neural Networks

Recalling node properties from a knowledge graph

Its a social networking chat-bot trained on Reddit dataset . It supports open bounded queries developed on the concept of Neural Machine Translation. Beware of its being sarcastic just like its creator 😝 BDW it uses Pytorch framework and Python3.

S2VT (seq2seq) video captioning with bahdanau & luong attention implementation in Tensorflow

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

Towards Knowledge-Based Recommender Dialog System @ EMNLP 2019

Keras implementation of character-level sequence-to-sequence learning for spelling correction

a collection of visualization function

Inter- and intra- patient ECG heartbeat classification for arrhythmia detection: a sequence to sequence deep learning approach

Deep sentence embedding using Sequence to Sequence learning

Open-Source Toolkit for End-to-End Korean Automatic Speech Recognition leveraging PyTorch and Hydra.

Zero -- A neural machine translation system

fairseq: Convolutional Sequence to Sequence Learning (Gehring et al. 2017) by Chainer

Bin Packing Problem using Neural Combinatorial Optimization.

2020 阿里云天池大数据竞赛-中医药文献问题生成挑战赛

Berserker - BERt chineSE woRd toKenizER

Code for "Variational Neural Machine Translation" (EMNLP2016)

SSIM - A Deep Learning Approach for Recovering Missing Time Series Sensor Data

Gathers Tensorflow deep learning models.

Audio-Visual Speech Recognition using Sequence to Sequence Models

Codes for WWW'18 Paper-DeepMove: Predicting Human Mobility with Attentional Recurrent Network

Neural network that solves math equations on the character level

Image Captioning with Keras

Implementation of FontRNN [Computer Graphics Forum, 2019].

Code lab for deep learning. Including rnn,seq2seq,word2vec,cross entropy,bidirectional rnn,convolution operation,pooling operation,InceptionV3,transfer learning.