1455 Open source projects that are alternatives of or similar to Attention Mechanisms

Budou is an automatic organizer tool for beautiful line breaking in CJK (Chinese, Japanese, and Korean).

Automatically extract chemical information from scientific documents

Resources for "Natural Language Processing" Coursera course.

This is a JSON driven angular x based dashboard framework that is inspired by JIRA's dashboard implementation and https://github.com/raulgomis/angular-dashboard-framework

Free and open source A.I. system based on Python, TensorFlow and Prolog.

Detecting Sarcasm on Twitter using both traditonal machine learning and deep learning techniques.

Platform for backtesting and live-trading intraday Stock/ETF/ELW using recurrent neural networks

A large annotated semantic parsing corpus for developing natural language interfaces.

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

🔮Deep Learning for text made easy with AllenNLP

[Params: Only 272K!!!] Efficient Image Super-Resolution Using Pixel Attention, in ECCV Workshop, 2020.

Visualization Toolbox for Long Short Term Memory networks (LSTMs)

official implementation of the spatial-temporal attention neural network (STANet) for remote sensing image change detection

THEANO-KALDI-RNNs is a project implementing various Recurrent Neural Networks (RNNs) for RNN-HMM speech recognition. The Theano Code is coupled with the Kaldi decoder.

Builds wordpiece(subword) vocabulary compatible for Google Research's BERT

✍️ Convolutional Recurrent Neural Network in Pytorch | Text Recognition

Natural language detection package in pure Go

Deep learning for price movement prediction using high frequency limit order data

Layer-wise Relevance Propagation (LRP) for LSTMs

REx: Relation Extraction. Modernized re-write of the code in the master's thesis: "Relation Extraction using Distant Supervision, SVMs, and Probabalistic First-Order Logic"

Extracting scientific claims from biomedical abstracts (powered by AllenNLP), demo:

Deepmind Recurrent Environment Simulators paper implementation in tensorflow

Tutorials and my solutions to the Udacity NLP Nanodegree

An implementation of (Induced) Set Attention Block, from the Set Transformers paper

A curated list of awesome embedding models tutorials, projects and communities.

🦆 Contextually-keyed word vectors

Repository for *SEM Paper on Event Coreference Resolution in ECB+

🖋️ Fast and safe spellchecking C++ library

Machine-Translation-based sentence alignment tool for parallel text

HDLTex: Hierarchical Deep Learning for Text Classification

Implementation of BERT that could load official pre-trained models for feature extraction and prediction

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

Large-scale pretraining for dialogue

👻 Markov chain-based Japanese twitter bot

UA-GEC: Grammatical Error Correction and Fluency Corpus for the Ukrainian Language

NLP progress in Fintech. A repository to track the progress in Natural Language Processing (NLP) related to the domain of Finance, including the datasets, papers, and current state-of-the-art results for the most popular tasks.

An open-source NLP research library, built on PyTorch.

A collection of research on knowledge graphs

OpenAI GPT2 pre-training and sequence prediction implementation in Tensorflow 2.0

all kinds of text classification models and more with deep learning

Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute

Notes on Deep Reinforcement Learning for Natural Language Processing papers

Semi-Supervised Video Object Segmentation (VOS) with Tensorflow. Includes implementation of *MaskRNN: Instance Level Video Object Segmentation (NIPS 2017)* as part of the NIPS Paper Implementation Challenge.

PyTorch Implementation of the RDPG (Recurrent Deterministic Policy Gradient)

IPython Notebook for training a word-level Convolutional Neural Network model for sentiment classification task on Yelp-Challenge-2016 review dataset.

Implementation of SE3-Transformers for Equivariant Self-Attention, in Pytorch. This specific repository is geared towards integration with eventual Alphafold2 replication.

Reformer, the efficient Transformer, in Pytorch

A curated list of pretrained sentence and word embedding models

Open-Source Machine Translation Quality Estimation in PyTorch

Notebooks for the Seattle PyData 2017 talk on Scattertext

The source of the IJCAI2017 paper "Modeling Trajectory with Recurrent Neural Networks"

Keras Temporal Convolutional Network.

Unsupervised Data Augmentation (UDA)

Multinomial Adversarial Networks for Multi-Domain Text Classification (NAACL 2018)

Curated research at the intersection of causal inference and natural language processing.

A dialogue bot for information access

Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras

中文 预训练 ELECTRA 模型: 基于对抗学习 pretrain Chinese Model

Open source tools for Estonian natural language processing