297 Open source projects that are alternatives of or similar to Compact-Global-Descriptor

Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet

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Attention mechanism Implementation for Keras.

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)

Pytorch implementation of Unsupervised Attention-guided Image-to-Image Translation.

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attention mechanism in keras, like Dense and RNN...

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

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

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

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.

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

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

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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.

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

An implementation of the efficient attention module.

Java Implementation of EXI

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

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

nlp lecture-notes and source code

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

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

Implementation of the Swin Transformer in PyTorch.

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

An Innovative, Fast Transpiler for ECMAScript 2015 and later

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

A simple, extensible and efficient programming language based on C and Python

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latest version of original laguna source, with a handful fixes for modern compilers and systems

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

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Mid-level PyTorch Based Framework for Visual Question Answering.

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打造一款通用的AppUI结构，包括登录、注册等通用 UI 界面及各工具类和公共部分。

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

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A Crystal web framework that makes building applications fast, simple, and enjoyable. Get started with quick prototyping, less bugs, and blazing fast performance.

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

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python implementation of efficient convolution operators for tracking