311 Open source projects that are alternatives of or similar to DAF3D

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

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.

The official code for “DocTr: Document Image Transformer for Geometric Unwarping and Illumination Correction”, ACM MM, Oral Paper, 2021.

Pytorch implementation of Feature Generation for Long-Tail Classification by Rahul Vigneswaran, Marc T Law, Vineeth N Balasubramaniam and Makarand Tapaswi

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

An original implementation of "3HAN: A Deep Neural Network for Fake News Detection" (ICONIP 2017)

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

PyTorch implementation of "Pruning Filters For Efficient ConvNets"

This is our implementation of SAMN: Social Attentional Memory Network

A tool for precisely placing 3D landmarks on 3D facial scans based on the paper "Multi-view Consensus CNN for 3D Facial Landmark Placement"

A list of data mining and machine learning papers that I implemented in 2019.

A minimal nmt example to serve as an seq2seq+attention reference.

Attention mechanism in CNNs to extract events of interest

[CVPR 2021] SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration

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

TLDR is an unsupervised dimensionality reduction method that combines neighborhood embedding learning with the simplicity and effectiveness of recent self-supervised learning losses

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

Keyphrase Generation

Pytorch Implementation of Depth Map Prediction from a Single Image using a Multi-Scale Deep Network

Semantics-guided Part Attention Network (ECCV 2020 Oral)

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

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 prototype version of our submitted paper: Conversion Prediction Using Multi-task Conditional Attention Networks to Support the Creation of Effective Ad Creatives.

An AI-powered open-source medical image analysis toolbox

Implementation of Resnet-50 with and without CBAM in PyTorch v1.8. Implementation tested on Intel Image Classification dataset from https://www.kaggle.com/puneet6060/intel-image-classification.

Vision Transformer for 3D medical image registration (Pytorch).

Playground for implementing custom layers and other components compatible with keras, with the purpose to learn the framework better and perhaps in future offer some utils for others.

Visual Dialog: Light-weight Transformer for Many Inputs (ECCV 2020)

Multigrid Neural Architecture

Attention mechanism

PyTorch implementation of AAAI 2021 paper: A Hybrid Attention Mechanism for Weakly-Supervised Temporal Action Localization

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

Arbitrary Style Transfer with Style-Attentional Networks

Robust Chest CT Image Segmentation of COVID-19 Lung Infection based on limited data

Learnable Multi-level Frequency Decomposition and Hierarchical Attention Mechanism for Generalized Face Presentation Attack Detection

Predict materials properties using only the composition information!

Joint Semi-supervised Learning of Image Registration and Segmentation

An open source deep learning platform that provides a seamless path from research prototyping to production deployment

Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

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

a collection of visualization function

VNet for 3d volume segmentation

Code for Paper ''Dual Student: Breaking the Limits of the Teacher in Semi-Supervised Learning'' [ICCV 2019]

An unofficial toy implementation for NVAE 《A Deep Hierarchical Variational Autoencoder》

codes for paper "Domain Attention Model for Multi-Domain Sentiment Classification"

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

Exploring attention weights in transformer-based models with linguistic knowledge.

Pytorch implementation of the Loc2Vec with some modifications for speed

Implementation of the 😇 Attention layer from the paper, Scaling Local Self-Attention For Parameter Efficient Visual Backbones

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

Code for our ACL 2021 paper "One2Set: Generating Diverse Keyphrases as a Set"

No description or website provided.

AdaSpeech: Adaptive Text to Speech for Custom Voice

An implementation of the efficient attention module.

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

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

[CVPR 2021, Oral] PREDATOR: Registration of 3D Point Clouds with Low Overlap.

No description or website provided.

Drug effect prediction using neural network