321 Open source projects that are alternatives of or similar to CoVA-Web-Object-Detection

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

Code for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)

PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).

A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which appeared in The International Workshop on Self-Supervised Learning for the Web (SSL'21) @ the Web Conference 2021 (WWW'21).

A graph-based deep learning framework for life science

STAGIN: Spatio-Temporal Attention Graph Isomorphism Network

PyTorch implementation of our paper "Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing" (NAACL19)

Tool for slot extraction from text

A PyTorch implementation of "Multimodal Generative Models for Scalable Weakly-Supervised Learning" (https://arxiv.org/abs/1802.05335)

Applying Common-Sense Reasoning to Multi-Modal Dense Video Captioning and Video Question Answering | Python3 | PyTorch | CNNs | Causality | Reasoning | LSTMs | Transformers | Multi-Head Self Attention | Published in IEEE Winter Conference on Applications of Computer Vision (WACV) 2021

Information Extraction System can perform NLP tasks like Named Entity Recognition, Sentence Simplification, Relation Extraction etc.

Information extraction pipeline containing coreference resolution, named entity linking, and relationship extraction

STRAL-Net

Spatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits

Evildork targeting your fiancee👁️

Flexible and powerful platform for biomedical information extraction from text

Image Captioning with Keras

Curated list of all NLP Resources

The implement of GNN based on Pytorch

Multi-modal Transformers Excel at Class-agnostic Object Detection

Odinson is a powerful and highly optimized open-source framework for rule-based information extraction. Odinson couples a simple, yet powerful pattern language that can operate over multiple representations of text, with a runtime system that operates in near real time.

AI based web-wrapper for web-content-extraction

Multi-head attention in PyTorch

💻Speech and Natural Language Processing (SLP & NLP) Lab Assignments for ECE NTUA

PyTorch implementation of Lambda Network and pretrained Lambda-ResNet

TypeDB-ML is the Machine Learning integrations library for TypeDB

An open information extraction system that provides compact extractions

Original implementation of QA4IE

采用深度学习方法进行刀具识别。

GraphNVP: An Invertible Flow Model for Generating Molecular Graphs

一套友好的、方便集成的针对cell的左滑编辑功能！

Deep-learning models of NTUA-SLP team submitted in SemEval 2018 tasks 1, 2 and 3.

Interface for easier topic modelling.

Tensorflow Implementation of the paper "Topology Adaptive Graph Convolutional Networks" (Du et al., 2017)

Framework for information extraction from tables

[AAAI 2020] Modeling Personality with Attentive Networks and Contextual Embeddings

A PyTorch Implementation of "Attention Is All You Need"

My notes.

Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022

a collection of visualization function

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

Label Noise Reduction in Entity Typing (KDD'16)

Recalling node properties from a knowledge graph

Implementation of Nested Named Entity Recognition using Flair

Code for the BMVC paper (http://bmvc2018.org/contents/papers/1003.pdf)

A reading list for deep graph learning acceleration.

Representation Learning on Graphs with Jumping Knowledge Networks

ACL 2018: Dating Documents using Graph Convolution Networks

JavaScript/WebGL lib: detect if the user is looking at the screen or not from the webcam video feed. Lightweight and robust to all lighting conditions. Great for play/pause videos if the user is looking or not, or for person detection. Link to live demo.

基於關聯式新聞提取方法之雙階段注意力機制模型用於股票預測

NLP: Relation extraction with position-aware self-attention transformer

Natural language understanding library for chatbots with intent recognition and entity extraction.

This program provides efficient web scraping services for Tor and non-Tor sites. The program has both a CLI and REST API.

multi-label，classifier，text classification，多标签文本分类，文本分类，BERT，ALBERT，multi-label-classification，seq2seq，attention，beam search

An implementation of attention-based neural machine translation using Pytorch

Predicting protein structure through sequence modeling

⚡ Using deep learning (MLP, CNN, Graph CNN) to classify text in TensorFlow.

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

simple rule based named entity recognition

Paper notes for Information Extraction, including Relation Extraction (RE), Named Entity Recognition (NER), Entity Linking (EL), Event Extraction (EE), Named Entity Disambiguation (NED).