222 Open source projects that are alternatives of or similar to Kac Net

A collection of important graph embedding, classification and representation learning papers with implementations.

A TensorFlow Implementation of the Transformer: Attention Is All You Need

Attentive Federated Learning for Private NLM

Neural Machine Translation with Keras

Transformer of "Attention Is All You Need" (Vaswani et al. 2017) by Chainer.

Code for Describing a Knowledge Base

End-to-end ASR/LM implementation with PyTorch

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

End-to-End speech recognition implementation base on TensorFlow (CTC, Attention, and MTL training)

This is a reimplementation of AG-CNN. ("Thorax Disease Classification with Attention Guided Convolutional Neural Network","Diagnose like a Radiologist: Attention Guided Convolutional Neural Network for Thorax Disease Classification")

An implementation of Performer, a linear attention-based transformer, in Pytorch

A Pytorch Implementation of "Attention is All You Need" and "Weighted Transformer Network for Machine Translation"

🔍 Attentional interfaces in TensorFlow.

This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai

TensorFlow implementation of the paper "Hierarchical Attention Networks for Document Classification"

My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.

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

A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).

A Tensorfflow implementation of Attend, Infer, Repeat

Model Compression—YOLOv3 with multi lightweight backbones(ShuffleNetV2 HuaWei GhostNet), attention, prune and quantization

TensorFlow Implementation of "Show, Attend and Tell"

To eventually become an unofficial Pytorch implementation / replication of Alphafold2, as details of the architecture get released

Model submitted for the ICMI 2018 EmotiW Group-Level Emotion Recognition Challenge

Code for our paper "Multi-scale Guided Attention for Medical Image Segmentation"

基于金融-司法领域(兼有闲聊性质)的聊天机器人，其中的主要模块有信息抽取、NLU、NLG、知识图谱等，并且利用Django整合了前端展示,目前已经封装了nlp和kg的restful接口

A curated list of NLP resources focused on BERT, attention mechanism, Transformer networks, and transfer learning.

📃 **Unofficial** PyTorch Implementation of DA-RNN (arXiv:1704.02971)

A Pytorch implementation of Global Self-Attention Network, a fully-attention backbone for vision tasks

MORAN: A Multi-Object Rectified Attention Network for Scene Text Recognition

Protein-compound affinity prediction through unified RNN-CNN

Attention mechanism for processing sequential data that considers the context for each timestamp.

Code for Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation.

A Structured Self-attentive Sentence Embedding

Implementation of Grounding of Textual Phrases in Images by Reconstruction in Tensorflow

A Pytorch Implementation of "Neural Speech Synthesis with Transformer Network"

Attention,Factorization Machine, Deep Learning, Recommender System

Implementation of Bottleneck Transformer in Pytorch

Fake News Detection using Deep Learning models in Tensorflow

Code for PaperRobot: Incremental Draft Generation of Scientific Ideas

Text classifier for Hierarchical Attention Networks for Document Classification

Action recognition using soft attention based deep recurrent neural networks

Source code of paper: (not available now)

Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://arxiv.org/abs/1710.10903)

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

基于seq2seq模型的简单对话系统的tf实现，具有embedding、attention、beam_search等功能，数据集是Cornell Movie Dialogs

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

Pointer-generator reinforced seq2seq summarization in PyTorch

all kinds of text classification models and more with deep learning

Implementation of "Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning"

Source code of AAAI 2020 paper 'Learning to Incorporate Structure Knowledge for Image Inpainting'

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

Implementation of TimeSformer from Facebook AI, a pure attention-based solution for video classification

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

Visualizing RNNs using the attention mechanism

EQTransformer, a python package for earthquake signal detection and phase picking using AI.

Raw implementation of attention gated U-Net by Keras

SimpleDNN is a machine learning lightweight open-source library written in Kotlin designed to support relevant neural network architectures in natural language processing tasks

Deep Visual Attention Prediction (TIP18)

pytorch implementation of "Get To The Point: Summarization with Pointer-Generator Networks"