483 Open source projects that are alternatives of or similar to Grounder

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

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

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

Student–Teacher Anomaly Detection with Discriminative Latent Embeddings

(CVPR'20 Oral) Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild

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

IVA: Independent Vector Analysis implementation

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

TensorFlow Implementation of Unsupervised Cross-Domain Image Generation

Composable GAN framework with api and user interface

PHP-ML - Machine Learning library for PHP

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

SuSi: Python package for unsupervised, supervised and semi-supervised self-organizing maps (SOM)

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

Text classifier for Hierarchical Attention Networks for Document Classification

Deep Visual Attention Prediction (TIP18)

📈 Regression and Classification with UC Davis student quiz data and exam data

Learning Video Object Segmentation from Unlabeled Videos (CVPR2020)

all kinds of text classification models and more with deep learning

Weakly Supervised 3D Object Detection from Point Clouds (VS3D), ACM MM 2020

Codebase for the Summary Loop paper at ACL2020

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

Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)

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

Unsupervised Learning for Image Registration

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

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

An implementation of "Network Representation Learning with Rich Text Information" (IJCAI '15).

Protein-compound affinity prediction through unified RNN-CNN

Code for Describing a Knowledge Base

Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency (AAAI 2021)

Attention,Factorization Machine, Deep Learning, Recommender System

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

A PyTorch Implementation of "SINE: Scalable Incomplete Network Embedding" (ICDM 2018).

Unsupervised learning of atomic scale dynamics from molecular dynamics.

Code for unsupervised aspect extraction, using Keras and its Backends

Attentive Federated Learning for Private NLM

code for unsupervised learning Neural Hidden Markov Models paper

PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"

Self-Supervised Learning Toolbox and Benchmark

TensorFlow Implementation of "Show, Attend and Tell"

Unsupervised Attributed Multiplex Network Embedding (AAAI 2020)

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Fake News Detection using Deep Learning models in Tensorflow

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")

TensorFlow implementation of Deep Graph Infomax

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!

PyTorch Blog Post On Image Similarity Search

Python implementation of bag-of-concepts

🔍 Attentional interfaces in TensorFlow.

🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps

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

Rank-based Unsupervised Keyword Extraction via Metavertex Aggregation

A Tensorfflow implementation of Attend, Infer, Repeat

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

MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification

📜 Self-Supervised Learning from Images: Up-to-date reading list.

This is an implementation for the CVPR2020 paper "Learning Invariant Representation for Unsupervised Image Restoration"