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

Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.

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PyTorch implementation of a 2D-LSTM Seq2Seq Model for NMT.

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

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

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Chinese Poetry Generation

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Implementation of seq2seq word-level model using keras

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implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)

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Several basic neural machine translation models implemented by PyTorch & TensorFlow

TensorFlow implementation of Conversation Models

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

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

Tensorflow implementation of attention mechanism for text classification tasks.

Awesome Chatbot Projects,Corpus,Papers,Tutorials.Chinese Chatbot =>:

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Voice activity detection (VAD) toolkit including DNN, bDNN, LSTM and ACAM based VAD. We also provide our directly recorded dataset.

Transliterating English to Hindi using Recurrent Neural Networks

Auto Segmentation Criterion (ASG) implemented in pytorch

An implementation of Performer, a linear attention-based transformer, in Pytorch

1st place solution

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A pytorch implementation of the attention based ocr

Implementation of seq2seq model for Visual Storytelling Challenge (VIST) http://visionandlanguage.net/VIST/index.html

A TensorFlow implementation of Recurrent Neural Networks for Sequence Classification and Sequence Labeling

Text and Punctuation correction with Deep Learning

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

Generative Adversarial Transformers

A Pytorch Implementation of Tacotron: End-to-end Text-to-speech Deep-Learning Model

🤖️ 基于 PyTorch 的任务型聊天机器人（支持私有部署和 docker 部署的 Chatbot）

Java JNI wrapper for SentencePiece: unsupervised text tokenizer for Neural Network-based text generation.

reimplementing Neural Summarization by Extracting Sentences and Words

An AI chatbot using seq2seq

CakeChat: Emotional Generative Dialog System

CRNN with attention to do OCR,add Chinese recognition

a collection of visualization function

Transformer implemented in Keras

Pytorch implemention of Deep CNN Encoder + LSTM Decoder with Attention for Image to Latex

[ICCV 2019] "ABD-Net: Attentive but Diverse Person Re-Identification" https://arxiv.org/abs/1908.01114

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Implementation of ABCNN(Attention-Based Convolutional Neural Network) on Tensorflow

Zero -- A neural machine translation system

Code for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)

Deep Learning for Computer Vision (CommE 5052) in NTU

A Keras library for multi-step time-series forecasting.

一套友好的、方便集成的针对cell的左滑编辑功能！

🎨 🎨NLP 自然语言处理教程 🎨🎨 https://dataxujing.github.io/NLP-paper/

[TPAMI 2018] Predicting the Driver’s Focus of Attention: the DR(eye)VE Project. A deep neural network learnt to reproduce the human driver focus of attention (FoA) in a variety of real-world driving scenarios.

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ttslearn: Library for Pythonで学ぶ音声合成 (Text-to-speech with Python)

TensorFlow Implementation of Twitter Chatbot

Recurrent GAN for imputation of time series data. Implemented in TensorFlow 2 on Wikipedia Web Traffic Forecast dataset from Kaggle.