269 Open source projects that are alternatives of or similar to hamnet

An up-to-date & curated list of Awesome IMU-based Human Activity Recognition(Ubiquitous Computing) papers, methods & resources. Please note that most of the collections of researches are mainly based on IMU data.

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

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

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

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

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

Mid-level PyTorch Based Framework for Visual Question Answering.

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

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

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

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

A PyTorch implementation of R2Plus1D and C3D based on CVPR 2017 paper "A Closer Look at Spatiotemporal Convolutions for Action Recognition" and CVPR 2014 paper "Learning Spatiotemporal Features with 3D Convolutional Networks"

Predict materials properties using only the composition information!

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

A curated list of egocentric (first-person) vision and related area resources

Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI

This is our implementation of SAMN: Social Attentional Memory Network

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

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

Chainer implementation of Deepmind's Visual Attention Model paper

Code for : [Pattern Recognit. Lett. 2021] "Learn to cycle: Time-consistent feature discovery for action recognition" and [IJCNN 2021] "Multi-Temporal Convolutions for Human Action Recognition in Videos".

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

Attention mechanism in CNNs to extract events of interest

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

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

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.

Neural Models for Key Phrase Detection and Question Generation

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

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

Implementation of Long-Short Transformer, combining local and global inductive biases for attention over long sequences, in Pytorch

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

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

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

Weakly supervised medical named entity classification

Implementation of experiments in paper "Learning from Rules Generalizing Labeled Exemplars" to appear in ICLR2020 (https://openreview.net/forum?id=SkeuexBtDr)

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

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

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

organic chemistry reaction prediction using NMT with Attention

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.

Attention Unet model with post process for retina optic disc segmention

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

Pytorch implementation of the paper "Glimpse Clouds: Human Activity Recognition from Unstructured Feature Points", F. Baradel, C. Wolf, J. Mille , G.W. Taylor, CVPR 2018

An implementation of the efficient attention module.

Realtime implemnetation of spatial-temporal local features

Attention mechanism

A Neural Network based Chatbot

[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

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

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

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

TianChi AIEarth Contest Solution

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

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

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

DANA: Dimension-Adaptive Neural Architecture (UbiComp'21)( ACM IMWUT)

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

Weakly Supervised End-to-End Learning (NeurIPS 2021)

Tensorflow implementation of Attention-based Bidirectional RNN text classification.