246 Open source projects that are alternatives of or similar to visdial

organic chemistry reaction prediction using NMT with Attention

Implementation of STAM (Space Time Attention Model), a pure and simple attention model that reaches SOTA for video classification

Tensorflow implementation of Attention-based Bidirectional RNN text classification.

Meshing Point Clouds with Predicted Intrinsic-Extrinsic Ratio Guidance (ECCV2020)

An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"

source code for signed graph attention networks (ICANN2019) & SDGNN (AAAI2021)

Code repo for "Deep Cyclic Generative Adversarial Residual Convolutional Networks for Real Image Super-Resolution" (ECCVW AIM2020).

Implementation of "Learning Flow-based Feature Warping for Face Frontalization with Illumination Inconsistent Supervision" (ECCV 2020).

An implementation of the Show, Attend and Tell paper in Tensorflow, for the OpenAI Im2LaTeX suggested problem

[ECCV 2020] Scale Adaptive Network: Learning to Learn Parameterized Classification Networks for Scalable Input Images

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

Code/Model release for NIPS 2017 paper "Attentional Pooling for Action Recognition"

[AAAI 2020] Code release for "Domain Conditioned Adaptation Network" https://arxiv.org/abs/2005.06717

Official PyTorch implementation of our IGARSS'22 paper: A Transformer-Based Siamese Network for Change Detection

Attention-Guided Version of 2D UNet for Automatic Brain Tumor Segmentation

Attention Unet model with post process for retina optic disc segmention

Official version of 'Weakly Supervised 3D object detection from Lidar Point Cloud'(ECCV2020)

Implementation of Memory-Compressed Attention, from the paper "Generating Wikipedia By Summarizing Long Sequences"

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

[ACM MM 2017 & IEEE TMM 2020] This is the Theano code for the paper "Video Description with Spatial Temporal Attention"

[ECCV 2020] "Deep Plastic Surgery: Robust and Controllable Image Editing with Human-Drawn Sketches"

TianChi AIEarth Contest Solution

Machine translation is the task of converting one language to other. Unlike the traditional phrase-based translation system which consists of many small sub-components that are tuned separately, neural machine translation attempts to build and train a single, large neural network that reads a sentence and outputs a correct translation.

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

Pytorch implementation of a basic language model using Attention in LSTM network

Implementation of the Character-level Intra Attention Network (CIAN) for Natural Language Inference (NLI) upon SNLI and MultiNLI corpus

Code for paper "Attention on Attention for Image Captioning". ICCV 2019

An implementation of the efficient attention module.

Implementation of Uniformer, a simple attention and 3d convolutional net that achieved SOTA in a number of video classification tasks, debuted in ICLR 2022

My implementation of "Hierarchical Attention Networks for Document Classification" in Keras

Deep Atrous Guided Filter for Image Restoration in Under Display Cameras (UDC Challenge, ECCV 2020).

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

Mid-level PyTorch Based Framework for Visual Question Answering.

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

A Comparison of LSTMs and Attention Mechanisms for Forecasting Financial Time Series

Implementation of RETRO, Deepmind's Retrieval based Attention net, in Pytorch

This is our implementation of NARRE:Neural Attentional Regression with Review-level Explanations

This is our implementation of SAMN: Social Attentional Memory Network

Chainer implementation of Deepmind's Visual Attention Model paper

Implementation of Axial attention - attending to multi-dimensional data efficiently

A Neural Network based Chatbot

Attention mechanism

Asymmetric Multi-Task Attention Network for Prostate Bed Segmentation in CT Images

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.

Sentiment Analysis with Deep Learning models. Implemented with Tensorflow and Keras.

[ECCV 2020] Official Pytorch implementation for "Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification". SOTA results for ZSL and GZSL

Official PyTorch implementation of DM-Font (ECCV 2020)

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

Neural Models for Key Phrase Detection and Question Generation

Predict materials properties using only the composition information!

Code for ECCV 2020 paper (oral): Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation

(ECCV 2020) PiP: Planning-informed Trajectory Prediction for Autonomous Driving

Attention-based bidirectional LSTM for Classification Task (ICASSP)

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

IAST: Instance Adaptive Self-training for Unsupervised Domain Adaptation (ECCV 2020) https://teacher.bupt.edu.cn/zhuchuang/en/index.htm

The code for our ECCV 2020 paper: Estimating People Flows to Better Count Them in Crowded Scenes

Attention mechanism in CNNs to extract events of interest

Pytorch implementation of "Compact Global Descriptor for Neural Networks" (CGD).

This repository contains the Pytorch implementation for our SCAI (EMNLP-2018) submission "A Knowledge-Grounded Multimodal Search-Based Conversational Agent"

Implementation of E(n)-Transformer, which extends the ideas of Welling's E(n)-Equivariant Graph Neural Network to attention