417 Open source projects that are alternatives of or similar to DCAN

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.

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

Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound

PyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN

Mid-level PyTorch Based Framework for Visual Question Answering.

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

Tensorflow implementation of Attention-based Bidirectional RNN text classification.

Source code of our submission (Rank 1) for Multi-Source Domain Adaptation task in VisDA-2019

Source code for our "TitleStylist" paper at ACL 2020

This repo is official PyTorch implementation of MobileHumanPose: Toward real-time 3D human pose estimation in mobile devices(CVPRW 2021).

The aim of this repository is to show a baseline model for text classification by implementing a LSTM-based model coded in PyTorch. In order to provide a better understanding of the model, it will be used a Tweets dataset provided by Kaggle.

resource collection for transfer learning!

Official Implementation of "Exploring Sequence Feature Alignment for Domain Adaptive Detection Transformers"

[TPAMI Under Submission] Generative Multi-Label Zero-Shot Learning

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

If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!

Highly efficient PyTorch version of the Semi-hard Triplet loss ⚡️

Reproduce some methods in semi-supervised papers.

Adapt Transformer-based language models to new text domains

Chainer implementation of Deepmind's Visual Attention Model paper

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

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

[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering

Multichannel Semantic Segmentation with Unsupervised Domain Adaptation

A Neural Network based Chatbot

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

ViNet Pushing the limits of Visual Modality for Audio Visual Saliency Prediction

Topic clustering library built on Transformer embeddings and cosine similarity metrics.Compatible with all BERT base transformers from huggingface.

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

Code for the ACL 19 paper "Neural Keyphrase Generation via Reinforcement Learning with Adaptive Rewards"

organic chemistry reaction prediction using NMT with Attention

Implement of Dynamic Model Pruning with Feedback with pytorch

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

PyTorch implementation of EfficientNetV2 family

Attention Unet model with post process for retina optic disc segmention

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

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

Code and datasets for EMNLP2018 paper ‘‘Adaptive Semi-supervised Learning for Cross-domain Sentiment Classification’’.

Hyperparameter-Free Out-of-Distribution Detection Using Softmax of Scaled Cosine Similarity

Code and dataset for the IJCAI 2021 paper "Document-level Relation Extraction as Semantic Segmentation".

🍀 Pytorch Implementation of RandLA-Net (https://arxiv.org/abs/1911.11236)

Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes, ICCV 2017

[CVPR2021] Domain Consensus Clustering for Universal Domain Adaptation

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

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

A repo containing code covering various aspects of deep learning on Pytorch. Great for beginners and intermediate in the field

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

Online Deep Learning: Learning Deep Neural Networks on the Fly / Non-linear Contextual Bandit Algorithm (ONN_THS)

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

Pytorch implementation of four neural network based domain adaptation techniques: DeepCORAL, DDC, CDAN and CDAN+E. Evaluated on benchmark dataset Office31.

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

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

Implementation of Sparse Shift Layer and Active Shift Layer (3D, 4D, 5D tensors) for PyTorch(CPU,GPU)

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

nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that were used to develop and evaluate the performance of the proposed method.

stylegan-nada.github.io/

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

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

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

code for our ECCV 2020 paper "A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation"