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27 search results found

Awesome Speech Recognition Speech Synthesis Papers ⭐ 2,869

Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC)

Sockeye ⭐ 1,190

Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch

Keras Attention ⭐ 656

Visualizing RNNs using the attention mechanism

Action Recognition Visual Attention ⭐ 338

Action recognition using soft attention based deep recurrent neural networks

Attention_is_all_you_need ⭐ 293

Transformer of "Attention Is All You Need" (Vaswani et al. 2017) by Chainer.

Ttslearn ⭐ 197

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

Sparse Structured Attention ⭐ 190

Sparse and structured neural attention mechanisms

Train and visualize Hierarchical Attention Networks

Multihead Siamese Nets ⭐ 173

Implementation of Siamese Neural Networks built upon multihead attention mechanism for text semantic similarity task.

Prediction Flow ⭐ 136

Deep-Learning based CTR models implemented by PyTorch

Attention-guided CNN for image denoising(Neural Networks,2020)

100 Days Of Nlp ⭐ 83

Cs224n_project ⭐ 65

Neural Image Captioning in TensorFlow.

Fake_news_detection_deep_learning ⭐ 60

Fake News Detection using Deep Learning models in Tensorflow

Pytorch Attention Guided Cyclegan ⭐ 57

Pytorch implementation of Unsupervised Attention-guided Image-to-Image Translation.

Sarcasm Detection ⭐ 52

Detecting Sarcasm on Twitter using both traditonal machine learning and deep learning techniques.

Anmm Cikm16 ⭐ 37

Implementation of Attention-Based Neural Matching Model Proposed in CIKM16 for Answer Sentence Selection

Hierarchical Word Sense Disambiguation Using Wordnet Senses ⭐ 33

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

Stanford Cs231n Assignments 2020 ⭐ 32

This repository contains my solutions to the assignments for Stanford's CS231n "Convolutional Neural Networks for Visual Recognition" (Spring 2020).

Multigrid Neural Architectures ⭐ 23

Multigrid Neural Architecture

Attention-based feature ranking for propositional data.

Sentimentanalysis ⭐ 22

Sentiment Analysis: Deep Bi-LSTM+attention model

Code for the im4MEC model described in the paper 'Interpretable deep learning model to predict the molecular classification of endometrial cancer from haematoxylin and eosin-stained whole-slide images: a combined analysis of the PORTEC randomised trials and clinical cohorts'.

Clean & Documented TF2 implementation of "An end-to-end deep learning architecture for graph classification" (M. Zhang et al., 2018).

Top Dropblock ⭐ 11

Official implementation of "Top Batch DropBlock for Person Re-Identification" ICPR 2020

Code for paper "Channel Pruning Guided by Spatial and Channel Attention for DNNs in Intelligent Edge Computing"

Transunetplus2 ⭐ 5

Here are the codes for the "TransU-Net++: Rethinking attention gated TransU-Net for deforestation mapping" paper.

Key Indicator_prediction ⭐ 5

Prediction Method of Key Indicators of Industrial Process based on Deep Learning

Deeplearning ⭐ 5

Dive Into Deep Learning 的学习代码以及笔记，在这里我还自己增加了一些学到的东西，具体的内容可以在目录中看到

Att_squeeze_unet ⭐ 5

Attention Squeeze U-Net

Dynamicattentionnetworks ⭐ 5

Dynamic Attention Networks For Time Series State Forecasting in Cyber Physical Systems

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