Author: Deep Learner

Neural Network

A neural networks using individual node features propagated via GPR

GPRGNN This is the source code for our ICLR2021 paper: Adaptive Universal Generalized PageRank Graph Neural Network. Hidden state feature extraction is performed by a neural networks using individual node features propagated via GPR. Note that both the GPR weights and parameter set of the neural network are learned simultaneously in an end-to-end fashion (as indicated in red). The learnt GPR weights of the GPR-GNN on real world datasets. Cora is homophilic while Texas is heterophilic (Here, H stands for […]

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Documentation

Multiple-level labeling on document images and can generate in multiple languages

SDL: Synthetic Document Layout dataset SDL is the project that synthesizes document images. It facilitates multiple-level labeling on document images and can generate in multiple languages. Sample image Structure of data Quick start python flexible_layout.py –config_file configs/page.yaml Instruction to run data generation Go to instruction Visualization of the result python data_manipulation/visualize.py Vietnamese 300000 images link: Release soon Paper https://arxiv.org/abs/2106.15117 GitHub https://github.com/tson1997/SDL-Document-Image-Generation    

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Transformer

A Unified Vision and Dialog Transformer with BERT

VD-BERT PyTorch Code for the following paper at EMNLP2020:Title: VD-BERT: A Unified Vision and Dialog Transformer with BERT [pdf]Authors: Yue Wang, Shafiq Joty, Michael R. Lyu, Irwin King, Caiming Xiong, Steven C.H. HoiInstitute: Salesforce Research and CUHKAbstractVisual dialog is a challenging vision-language task, where a dialog agent needs to answer a series of questions through reasoning on the image content and dialog history. Prior work has mostly focused on various attention mechanisms to model such intricate interactions. By contrast, in […]

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Network

Dual Self-Attention Network for Multivariate Time Series Forecasting

DSANet This project is the PyTorch implementation of the paper “DSANet: Dual Self-Attention Network for Multivariate Time Series Forecasting“, in which we propose a dual self-attention network (DSANet) for multivariate time series forecasting. The network architecture is illustrated in the following figure, and more details about the effect of each component can be found in the paper. Requirements Python 3.5 or above PyTorch 1.1 or above pytorch-lightning How to run You need to prepare the dataset first. Check here. # […]

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Discord

Unofficial Discord Rich Presence for HackTheBox platform

HTBRichPresence Unofficial Discord Rich Presence for HackTheBox platform The project is under lazy development. How to run Install requirements: // I’m gonna add this pip3 install -r requirements.txt Enter your api_key in main.py script (1 on screenshot) and your id (2 on screenshot) And run the main script: python3 path/to/main.py [active_machine], [–help] Info about Attention: active_machine is name of box you re doing and its for showing one and it’s case sensitive! U’re using this arg makes RP look like […]

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Machine Learning

Partially View-aligned Representation Learning with Noise-robust Contrastive Loss

2021-CVPR-MvCLN This repo contains the code and data of the following paper accepted by CVPR 2021 Requirements pytorch==1.5.0 numpy>=1.18.2 scikit-learn>=0.22.2 munkres>=1.1.2 logging>=0.5.1.2 Configuration The hyper-parameters, the training options (including the ratiao of positive to negative, aligned proportions and switch time) are defined in the args. part in run.py. Datasets The Scene-15 and Reuters-dim10 datasets are placed in “datasets” folder. The NoisyMNIST and Caltech101 datasets could be downloaded from Google cloud or Baidu cloud with password “rqv4”. Usage After setting the […]

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Database

A data management and manipulation Python library

Datargsing Datargsing is a data management and manipulation Python library which is currently in deving Why this library is good? This Python library has classes and methods with a detailled documentation directly in you ide (if it supports documentation) and this library is really simple and logical GitHub https://github.com/LTHCTheMaster/Datargsing    

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Machine Learning

Real-time RGBD-based Extended Body Pose Estimation

rgbd-kinect-pose Real-time RGBD-based Extended Body Pose Estimation The output of our module is in SMPL-X parametric body mesh model: Combined system runs at 30 fps on a 2080ti GPU and 8 core @ 4GHz CPU. Build Prereqs: your nvidia driver should support cuda 10.2, Windows or Mac are not supported. Clone repo: Docker setup: Build docker image: run 2 cmds Attach your Azure Kinect camera Check your Azure Kinect camera is working inside Docker container: Enter Docker container: ./run_local.sh from […]

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Data Visualization

A fast and easy Data Visulaization tool running on python dash

YATA Yata is a fast, simple and easy Data Visulaization tool, running on python dash. The main goal of Yata is to provide a easy way for persons with little programming knowledge to visualize their data easily. Version v1.0yata This is Yata version 1. No way is it expected to work as we expect, it is the bare bones of the full application, you can test it out to get a general idea of how the script will work!. How […]

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Monitoring

A Prometheus exporter for monitoring & analyzing Grafana Labs’ technical documentation

grafana-docs-exporter A Prometheus exporter for monitoring & analyzing Grafana Labs’ technical documentation This exporter uses git to pull the newest versions of Grafana’s docs from the official repo. It then programmatically builds all the URLs to scrape those pages, just like Hugo does when it builds the actual docs website. These URLs are then scraped, parsed, analyzed, and exposed in Prometheus format. To add these metrics to your own Prometheus instance, just add this job to your prometheus.yml: – job_name: […]

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