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41 search results found

Annotated_deep_learning_paper_implementations ⭐ 41,877

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

Numpy Ml ⭐ 14,162

Machine learning, in numpy

Bertviz ⭐ 5,547

BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)

Spektral ⭐ 2,317

Graph Neural Networks with Keras and Tensorflow 2.

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

Pygat ⭐ 1,684

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

PyTorch source code for "Stacked Cross Attention for Image-Text Matching" (ECCV 2018)

Keras Text ⭐ 417

Text Classification Library in Keras

Text Classification Models Pytorch ⭐ 309

Implementation of State-of-the-art Text Classification Models in Pytorch

Attention_is_all_you_need ⭐ 293

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

A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).

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

Dual-Stage Attention-Based Recurrent Neural Net for Time Series Prediction

Traffic_prediction ⭐ 237

Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using historical data (timeseries).

Pytorch Lesson Zh ⭐ 214

pytorch 包教不包会

Guided Attention Inference Network ⭐ 187

Contains implementation of Guided Attention Inference Network (GAIN) presented in Tell Me Where to Look(CVPR 2018). This repository aims to apply GAIN on fcn8 architecture used for segmentation.

Multihead Siamese Nets ⭐ 173

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

Datastories Semeval2017 Task4 ⭐ 171

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

Gnn_note ⭐ 158

图神经网络整理

Attentionn ⭐ 147

All about attention in neural networks. Soft attention, attention maps, local and global attention and multi-head attention.

Pytorch Model Zoo ⭐ 108

A collection of deep learning models implemented in PyTorch

Bertqa Attention On Steroids ⭐ 105

BertQA - Attention on Steroids

Cnn With Dual Local And Global Attention ⭐ 98

Implementaion of Interpretable Convolutional Neural Networks with Dual Local and Global Attention for Review Rating Prediction

Pytorch Attention ⭐ 97

pytorch neural network attention mechanism

Hierarchical Sentiment ⭐ 96

Hierarchical Models for Sentiment Analysis in Pytorch

Eval On Nn Of Rc ⭐ 84

Empirical Evaluation on Current Neural Networks on Cloze-style Reading Comprehension

Attend_infer_repeat ⭐ 77

A Tensorfflow implementation of Attend, Infer, Repeat

Keras Attention Augmented Convs ⭐ 77

Keras implementation of Attention Augmented Convolutional Neural Networks

Predict materials properties using only the composition information!

Cambridge Ai ⭐ 58

How To Train Your Neural Net ⭐ 55

Deep learning research implemented on notebooks using PyTorch.

Code for Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation.

Perceiver ⭐ 50

Implementation of Perceiver, General Perception with Iterative Attention in TensorFlow

Hyper Sagnn ⭐ 45

hypergraph representation learning, graph neural network

Chatbot Startkit ⭐ 44

This repository holds files for the simple chatbot wrote in TensorFlow 1.4, with attention mechanism and bucketing.

Mlpnlp Nmt ⭐ 43

This is a sample code of "LSTM encoder-decoder with attention mechanism" mainly for understanding a recently developed machine translation framework based on deep neural networks.

Attention_is_all_you_need ⭐ 41

End-to-end neural relation extraction using deep biaffine attention (ECIR 2019)

Localatt_emorecog ⭐ 29

A Pytorch implementation of 'AUTOMATIC SPEECH EMOTION RECOGNITION USING RECURRENT NEURAL NETWORKS WITH LOCAL ATTENTION'

Framework for artificial neural networks

Dynet Att ⭐ 27

An attentional NMT model in Dynet

3HAN: A Deep Neural Network for Fake News Detection: https://link.springer.com/chapter/10.1007%2F978-3-

Neural Network based models for Aspect-Based Sentiment Analysis

Stock_prediction_model_using_attention_multilayer_rnn_lstm ⭐ 24

RNN - Stock Prediction Model using Attention Multilayer Recurrent Neural Networks with LSTM Cells

Deep Learning Visuals ⭐ 24

A collection of 100 Deep Learning images and visualizations

Implementation for <Neural Similarity Learning> in NeurIPS'19.

Structured Self Attentive Sentence Embedding ⭐ 23

Re-Implementation of "A Structured Self-Attentive Sentence Embedding" by Lin et al., 2017

Dl_notes ⭐ 23

📚 DL & CV & Neural Network

Layer_augmentation ⭐ 23

Implementation of the NLI model in our ACL 2019 paper: Augmenting Neural Networks with First-order Logic.

Question Answering ⭐ 22

Exploration of various deep neural networks for Question Answering and Reading Comprehension

Neural Networks For Time Series Analysis ⭐ 22

Compare how ANNs, RNNs, LSTMs, and LSTMs with attention perform on time-series analysis

This is a reimplementation of AG-CNN. ("Thorax Disease Classification with Attention Guided Convolutional Neural Network","Diagnose like a Radiologist: Attention Guided Convolutional Neural Network for Thorax Disease Classification")

Unsupervisedattentionmechanism ⭐ 19

Code for our paper: "Regularity Normalization: Neuroscience-Inspired Unsupervised Attention across Neural Network Layers".

Visualization tool for interpreting NLP models

Paperhighlights ⭐ 15

I read papers, and here are my highlights.

Deep learning library that builds on and extends Microsoft CNTK

Ai_challenger_2018_sentiment_analysis ⭐ 15

Fine-grained Sentiment Analysis of User Reviews --- AI CHALLENGER 2018

Set_transformer ⭐ 14

A TensorFlow implementation of the paper 'Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks'

Neural Time Series Analysis

Pointer_generator_summarizer ⭐ 12

Pointer Generator Network: Seq2Seq with attention, pointing and coverage mechanism for abstractive summarization.

Attention-based Recurrent Neural Nets + POS embeddings for Authorship Recognition

Bidirectional Attention for SQL Generation

Intro_to_dl_tutorial ⭐ 11

Material for introduction to Deep Learning Tutorials, Summer '20, '21

根据Seanny123复现论文A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction的pytorch代码进行相关修改，适应pytorch1.2版本

Grammarcorrection ⭐ 9

Grammar Correction with Neural Network (Seq2Seq with Attention)

Cyclegan With Self Attention ⭐ 8

In this repository, I have developed a CycleGAN architecture with embedded Self-Attention Layers, that could solve three different complex tasks. Here the same principle Neural Network architecture has been used to solve the three different task. Although truth be told, my model has not exceeded any state of the art performances for the given task, but the architecture was powerful enough to understand the task that has been given to solve and produce considerably good results.

Extreme Summarization Of Source Code ⭐ 8

Implementation of 'A Convolutional Attention Network for Extreme Summarization of Source Code' in PyTorch using TorchText

The open source community's implementation of the all-new Multi-Modal Causal Attention from "DeepSpeed-VisualChat: Multi-Round Multi-Image Interleave Chat via Multi-Modal Causal Attention"

Rusentrel Leaderboard ⭐ 7

This is an official Leaderboard for the RuSentRel-1.1 dataset originally described in paper (arxiv:1808.08932)

Seq2seq_translate_slackbot ⭐ 7

Source code for our paper "Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation" (IJCAI 2020)

Tensorflow-based framework which lists attentive implementation of the conventional neural network models (CNN, RNN-based), applicable for Relation Extraction classification tasks as well as API for custom model implementation

Agcnn Sentence Classification ⭐ 7

Code for the Attention-Gated Convolutional Neural Network for sentence classification

A Dual Stage Attention Based Recurrent Neural Network For Time Series Prediction ⭐ 7

TBiNet: A deep neural network for predicting transcription factor binding sites using attention mechanism

TensorFlow Implementation of ABCNN (ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs)

Dlnlp Papernotes ⭐ 6

Summaries and notes on Deep Learning research papers in natural language processing(NLP) domain.

BPAM: Recommendation Based on BP Neural Network with Attention Mechanism

Neural network techniques for Information Retrieval

Memorynets ⭐ 6

Code for - Untangling tradeoffs between recurrence and self-attention in neural networks - https://arxiv.org/abs/2006.09471

Semantic Question Similarity ⭐ 6

Official implementation of: Tha3aroon at NSURL-2019 Task 8: Semantic Question Similarity in Arabic

Dual_stage_attention_rnn ⭐ 5

A Tensorflow Implementation of Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction

Attentiondeeplabv3p ⭐ 5

Attention Deeplabv3+: Multi-level Context Attention Mechanism for Skin Lesion Segmentation

Confidencethroughattention ⭐ 5

Confidence Through Attention

Attention Viz ⭐ 5

Lightweight visualization tool for neural attention mechanisms

Paper List ⭐ 5

One Paper One Week

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