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277 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, ... 🧠

Nlp Tutorial ⭐ 13,226

Natural Language Processing Tutorial for Deep Learning Researchers

Pytorch Seq2seq ⭐ 5,024

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

Pytorch Gat ⭐ 1,815

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!

Transformer Explainability ⭐ 1,596

[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.

Nlp Models Tensorflow ⭐ 1,329

Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0

Attention Transfer ⭐ 1,120

Improving Convolutional Networks via Attention Transfer (ICLR 2017)

Simplecvreproduction ⭐ 1,021

Replication of simple CV Projects including attention, classification, detection, keypoint detection, etc.

Vit Pytorch ⭐ 984

Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)

Bottom Up Attention ⭐ 979

Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome

Attention Learn To Route ⭐ 931

Attention based model for learning to solve different routing problems

Transformer ⭐ 691

Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.

Dota Doai ⭐ 676

This repo is the codebase for our team to participate in DOTA related competitions, including rotation and horizontal detection.

Stereo Transformer ⭐ 555

Revisiting Stereo Depth Estimation From a Sequence-to-Sequence Perspective with Transformers. (ICCV 2021 Oral)

Attention Networks For Classification ⭐ 477

Hierarchical Attention Networks for Document Classification in PyTorch

Deep learning for audio processing

Pytorch Original Transformer ⭐ 376

My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.

Deep_learning_nlp ⭐ 359

Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP

Reimplementation of DRAW

Action Recognition Visual Attention ⭐ 338

Action recognition using soft attention based deep recurrent neural networks

Transformer_time_series ⭐ 331

Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting (NeurIPS 2019)

Mprgdeeplearninglecturenotebook ⭐ 324

Chinese Chatbot ⭐ 318

中文聊天机器人，基于10万组对白训练而成，采用注意力机制，对一般问题都会生成一个有意义的答复。已上传

Attention Analysis ⭐ 309

Attention_is_all_you_need ⭐ 293

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

Adaptiveattention ⭐ 288

Implementation of "Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning"

Hiecoattenvqa ⭐ 284

Latex_ocr ⭐ 276

💎 数学公式识别 Math Formula OCR

Attention Pytorch ⭐ 264

注意力机制实践

Eeap Examples ⭐ 241

Code for Document Similarity on Reuters dataset using Encode, Embed, Attend, Predict recipe

📃 **Unofficial** PyTorch Implementation of DA-RNN (arXiv:1704.02971)

Tokencut ⭐ 233

(CVPR 2022) Pytorch implementation of "Self-supervised transformers for unsupervised object discovery using normalized cut"

Jddc_solution_4th ⭐ 225

2018-JDDC大赛第4名的解决方案

Sohu_competition ⭐ 216

Sohu's 2018 content recognition competition 1st solution(搜狐内容识别大赛第一名解决方案)

Pytorch Lesson Zh ⭐ 214

pytorch 包教不包会

Probing Vits ⭐ 209

Probing the representations of Vision Transformers.

Bottom Up Attention.pytorch ⭐ 207

A PyTorch reimplementation of bottom-up-attention models

Cvpr2019_pyramid Feature Attention Network For Saliency Detection ⭐ 201

code and model of Pyramid Feature Selective Network for Saliency detection

Attention_network_with_keras ⭐ 201

An example attention network with simple dataset.

Graph Convolution Nlp ⭐ 200

Graph Convolution Network for NLP

Doc Han Att ⭐ 193

Hierarchical Attention Networks for Chinese Sentiment Classification

Hey Jetson ⭐ 189

Deep Learning based Automatic Speech Recognition with attention for the Nvidia Jetson.

Simpleselfattention ⭐ 184

A simpler version of the self-attention layer from SAGAN, and some image classification results.

A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)

Shifting More Attention to Video Salient Objection Detection, CVPR 2019 (Oral)

Multihead Siamese Nets ⭐ 173

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

Rnn For Joint Nlu ⭐ 165

Pytorch implementation of "Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling" (https://arxiv.org/abs/1609.01454)

Graph_attention_pool ⭐ 161

Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)

Asrframe ⭐ 155

An Automatic Speech Recognition Frame ，一个中文语音识别的完整框架，提供了多个模型

Csa Inpainting ⭐ 149

Coherent Semantic Attention for image inpainting(ICCV 2019)

Speech2text ⭐ 148

A Deep-Learning-Based Persian Speech Recognition System

Speechcmdrecognition ⭐ 148

A neural attention model for speech command recognition

Attentionn ⭐ 147

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

__init__ ⭐ 130

Official code for "Top-Down Visual Attention from Analysis by Synthesis" (CVPR 2023 highlight)

Hierarchical Attention Network ⭐ 117

Implementation of Hierarchical Attention Networks in PyTorch

Abstractive Summarization ⭐ 113

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

Colab Tricks ⭐ 110

Tricks for Colab power users

Pytorch Model Zoo ⭐ 108

A collection of deep learning models implemented in PyTorch

Tf2deepfloorplan ⭐ 107

TF2 Deep FloorPlan Recognition using a Multi-task Network with Room-boundary-Guided Attention. Enable tensorboard, quantization, flask, tflite, docker, github actions and google colab.

Linear Attention Recurrent Neural Network ⭐ 107

A recurrent attention module consisting of an LSTM cell which can query its own past cell states by the means of windowed multi-head attention. The formulas are derived from the BN-LSTM and the Transformer Network. The LARNN cell with attention can be easily used inside a loop on the cell state, just like any other RNN. (LARNN)

Bertqa Attention On Steroids ⭐ 105

BertQA - Attention on Steroids

Weibosentiment ⭐ 104

基于各种机器学习和深度学习的中文微博情感分析

Pytorch Question Answering ⭐ 102

Important paper implementations for Question Answering using PyTorch

Set_transformer ⭐ 101

Pytorch implementation of set transformer

Abstractive Text Summarization ⭐ 99

PyTorch implementation/experiments on Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond paper.

Automatic Generation Of Text Summaries ⭐ 98

使用两种方法（抽取式Textrank和概要式seq2seq）自动提取文本摘要

Pytorch Transfomer ⭐ 95

My implementation of the transformer architecture from the Attention is All you need paper applied to time series.

Delf_enhanced ⭐ 93

Wrapper of DELF Tensorflow Model

Ranger Mish Imagewoof 5 ⭐ 93

Repo to build on / reproduce the record breaking Ranger-Mish-SelfAttention setup on FastAI ImageWoof dataset 5 epochs

Machine Learning ⭐ 92

My Attempt(s) In The World Of ML/DL....

Kdd_winniethebest ⭐ 91

KDD Cup 2020 Challenges for Modern E-Commerce Platform: Multimodalities Recall first place

Transformer_image_caption ⭐ 85

Image Captioning based on Bottom-Up and Top-Down Attention model

Adaptive ⭐ 84

Pytorch Implementation of Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning

100 Days Of Nlp ⭐ 83

Neural Vqa Attention ⭐ 81

❓ Attention-based Visual Question Answering in Torch

Opam_tip2018 ⭐ 80

Source code of our TIP 2018 paper "Object-Part Attention Model for Fine-grained Image Classification"

Algorithm Whiteboard Resources ⭐ 78

this is where we share notebooks/projects used in your youtube channel

Image Captions ⭐ 77

BERT + Image Captioning

Code for "Online and Linear Time Attention by Enforcing Monotonic Alignments"

Natural Language Joint Query Search ⭐ 70

Search photos on Unsplash based on OpenAI's CLIP model, support search with joint image+text queries and attention visualization.

Attention_flow ⭐ 68

Group Level Emotion Recognition ⭐ 67

Model submitted for the ICMI 2018 EmotiW Group-Level Emotion Recognition Challenge

Cs224n_project ⭐ 65

Neural Image Captioning in TensorFlow.

Positional Encoding ⭐ 63

Encoding position with the word embeddings.

SciFive: a text-text transformer model for biomedical literature

Imcap_keras ⭐ 62

Image captioning with spatial attention using keras with tensorflow backend

E2e Glstm Sc ⭐ 61

Code for paper "Image Caption Generation with Text-Conditional Semantic Attention"

Synthesizer ⭐ 60

A PyTorch implementation of the paper - "Synthesizer: Rethinking Self-Attention in Transformer Models"

AReLU: Attention-based-Rectified-Linear-Unit

Recursive application of recurrent neural networks, for hierarchical intent parsing

How To Train Your Neural Net ⭐ 55

Deep learning research implemented on notebooks using PyTorch.

Attentionmask ⭐ 51

AttentionMask: Attentive, Efficient Object Proposal Generation Focusing on Small Objects (ACCV 2018, accepted as oral)

Cs224n Gpu That Talks ⭐ 50

Attention, I'm Trying to Speak: End-to-end speech synthesis (CS224n '18)

Factored Attention ⭐ 50

This repository contains code for reproducing results in our paper Interpreting Potts and Transformer Protein Models Through the Lens of Simplified Attention

Slot Attention Pytorch ⭐ 50

Pytorch Implementation of paper "Object-Centric Learning with Slot Attention"

Image Captioning With Semantic Attention ⭐ 47

Attention ⭐ 47

Deep Learning Tensorflow ⭐ 47

Gathers Tensorflow deep learning models.

[TIP 2020] Improving the Harmony of the Composite Image by Spatial-Separated Attention Module

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