148 Repositories
Python density-map Libraries
📦 PyTorch based visualization package for generating layer-wise explanations for CNNs.
Explainable CNNs 📦 Flexible visualization package for generating layer-wise explanations for CNNs. It is a common notion that a Deep Learning model i
Rich Prosody Diversity Modelling with Phone-level Mixture Density Network
Phone Level Mixture Density Network for TTS This repo contains pytorch implementation of paper Rich Prosody Diversity Modelling with Phone-level Mixtu
KwaiRec: A Fully-observed Dataset for Recommender Systems (Density: Almost 100%)
KuaiRec: A Fully-observed Dataset for Recommender Systems (Density: Almost 100%) KuaiRec is a real-world dataset collected from the recommendation log
Cross-view Transformers for real-time Map-view Semantic Segmentation (CVPR 2022 Oral)
Cross View Transformers This repository contains the source code and data for our paper: Cross-view Transformers for real-time Map-view Semantic Segme
An attempt to map the areas with active conflict in Ukraine using open source twitter data.
Live Action Map (LAM) An attempt to use open source data on Twitter to map areas with active conflict. Right now it is used for the Ukraine-Russia con
A tool for generating skill map/tree like diagram
skillmap A tool for generating skill map/tree like diagram. What is a skill map/tree? Skill tree is a term used in video games, and it can be used for
Point Density-Aware Voxels for LiDAR 3D Object Detection (CVPR 2022)
PDV PDV is LiDAR 3D object detection method. This repository is based off [OpenPCDet]. Point Density-Aware Voxels for LiDAR 3D Object Detection Jordan
Official code of the paper "Expanding Low-Density Latent Regions for Open-Set Object Detection" (CVPR 2022)
OpenDet Expanding Low-Density Latent Regions for Open-Set Object Detection (CVPR2022) Jiaming Han, Yuqiang Ren, Jian Ding, Xingjia Pan, Ke Yan, Gui-So
Contrastive learning of Class-agnostic Activation Map for Weakly Supervised Object Localization and Semantic Segmentation (CVPR 2022)
CCAM (Unsupervised) Code repository for our paper "CCAM: Contrastive learning of Class-agnostic Activation Map for Weakly Supervised Object Localizati
Bot SpaceCrypto - An automation (bot) to play the game SpaceCrypto, it automatically log in, send ships to fight, refresh the game, new map, etc
SpaceCrypto Bot [en-us] In order to change to english Readme version click here.
GenshinMapAutoMarkTools - Tools To add/delete/refresh resources mark in Genshin Impact Map
使用说明 适配 windows7以上 64位 原神1920x1080窗口(其他分辨率后续适配) 待更新渊下宫 English version is to be
Map Ookla server locations as a Kernel Density Estimation (KDE) geographic map plot.
Ookla Server KDE Plotting This notebook was created to map Ookla server locations as a Kernel Density Estimation (KDE) geographic map plot. Currently,
Implementation of SOMs (Self-Organizing Maps) with neighborhood-based map topologies.
py-self-organizing-maps Simple implementation of self-organizing maps (SOMs) A SOM is an unsupervised method for learning a mapping from a discrete ne
Project aims to map out common user behavior on the computer
User-Behavior-Mapping-Tool Project aims to map out common user behavior on the computer. Most of the code is based on the research by kacos2000 found
This program analizes films database with adresses, and creates a folium map with closest films to the coordinates
Films-map-project UCU CS lab 1.2, 1st year This program analizes films database with adresses, and creates a folium map with closest films to the coor
Simple implementation of Self Organizing Maps (SOMs) with rectangular and hexagonal grid topologies
py-self-organizing-map Simple implementation of Self Organizing Maps (SOMs) with rectangular and hexagonal grid topologies. A SOM is a simple unsuperv
Official implementation of NeuralFusion: Online Depth Map Fusion in Latent Space
NeuralFusion This is the official implementation of NeuralFusion: Online Depth Map Fusion in Latent Space. We provide code to train the proposed pipel
Using A * search algorithm and GBFS search algorithm to solve the Romanian problem
Romanian-problem-using-Astar-and-GBFS Using A * search algorithm and GBFS search algorithm to solve the Romanian problem Romanian problem: The agent i
Python project that aims to discover CDP neighbors and map their Layer-2 topology within a shareable medium like Visio or Draw.io.
Python project that aims to discover CDP neighbors and map their Layer-2 topology within a shareable medium like Visio or Draw.io.
Map Reduce Wordcount in Python using gRPC
This project is implemented in Python using gRPC. The input files are given in .txt format and the word count operation is performed.
A Python command-line utility for validating that the outputs of a given Declarative Form Azure Portal UI JSON template map to the input parameters of a given ARM Deployment Template JSON template
A Python command-line utility for validating that the outputs of a given Declarative Form Azure Portal UI JSON template map to the input parameters of a given ARM Deployment Template JSON template
This program presents convolutional kernel density estimation, a method used to detect intercritical epilpetic spikes (IEDs)
Description This program presents convolutional kernel density estimation, a method used to detect intercritical epilpetic spikes (IEDs) in [Gardy et
Density is a open-sourced multi-purpose tool for ROBLOX with some cool
Density is a open-sourced multi-purpose tool for ROBLOX with some cool
Proyecto - Análisis de texto de eventos históricos
Acceder al código desde Google Colab para poder ver de manera adecuada todas las visualizaciones y poder interactuar con ellas. Link de acceso: https:
This repository contains the implementation of the following paper: Cross-Descriptor Visual Localization and Mapping
Cross-Descriptor Visual Localization and Mapping This repository contains the implementation of the following paper: "Cross-Descriptor Visual Localiza
Orchestrating Distributed Materials Acceleration Platform Tutorial
Orchestrating Distributed Materials Acceleration Platform Tutorial This tutorial for orchestrating distributed materials acceleration platform was pre
Computer Vision is an elective course of MSAI, SCSE, NTU, Singapore
[AI6122] Computer Vision is an elective course of MSAI, SCSE, NTU, Singapore. The repository corresponds to the AI6122 of Semester 1, AY2021-2022, starting from 08/2021. The instructor of this course is Prof. Lu Shijian.
Time Dependent DFT in Tamm-Dancoff Approximation
Density Function Theory Program - kspy-tddft(tda) This is an implementation of Time-Dependent Density Functional Theory(TDDFT) using the Tamm-Dancoff
Spectrum Surveying: Active Radio Map Estimation with Autonomous UAVs
Spectrum Surveying: The Python code in this repository implements the simulations and plots the figures described in the paper “Spectrum Surveying: Ac
Map Matching & Weight Completion service - Java (Springboot) & Python(Flask)
Map Matching service to match coordinates to roads using Java and Springboot. Weight Completion service to fill in missing weights in a graph, using Python and Flask.
Python project to generate Kerala's distrcit level panchayath map.
Kerala-Panchayath-Maps Python project to generate Kerala's distrcit level panchayath map. As of now, geojson files of Kollam and Kozhikode are added t
Generates a clean .txt file of contents of a 3 lined csv file
Generates a clean .txt file of contents of a 3 lined csv file. File contents is the .gml file of some function which stores the contents of the csv as a map.
Defocus Map Estimation and Deblurring from a Single Dual-Pixel Image
Defocus Map Estimation and Deblurring from a Single Dual-Pixel Image This repository is an implementation of the method described in the following pap
RetinaNet-PyTorch - A RetinaNet Pytorch Implementation on remote sensing images and has the similar mAP result with RetinaNet in MMdetection
🚀 RetinaNet Horizontal Detector Based PyTorch This is a horizontal detector Ret
VCM EE1.2 P-layer feature map anchor generation 137th MPEG-VCM
VCM EE1.2 P-layer feature map anchor generation 137th MPEG-VCM
NasirKhusraw - The TSP solved using genetic algorithm and show TSP path overlaid on a map of the Iran provinces & their capitals.
Nasir Khusraw : Travelling Salesman Problem The TSP solved using genetic algorithm. This project show TSP path overlaid on a map of the Iran provinces
Saliency - Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).
Saliency Methods 🔴 Now framework-agnostic! (Example core notebook) 🔴 🔗 For further explanation of the methods and more examples of the resulting ma
Cvdl-hw2 - Find Contour, Camera Calibration, Augmented Reality and Stereo Disparity Map
opevcvdl-hw2 This project uses openCV and Qt to achieve the requirements. Version Python 3.7 opencv-contrib-python 3.4.2.17 Matplotlib 3.1.1 pyqt5 5.1
This program can calculate the Aerial Distance between two cities.
Aerial_Distance_Calculator This program can calculate the Aerial Distance between two cities. This repository include both Jupyter notebook and Python
Time series visualizer is a flexible extension that provides filling world map by country from real data.
Time-series-visualizer Time series visualizer is a flexible extension that provides filling world map by country from csv or json file. You can know d
Male' Map Telegram Bot
Male' Map TelegramBot A simple TelegramBot to fetch residential addresses in Male', Maldives. The bot can be queried inline or directly. sample .env f
Open-source library for analyzing the results produced by ABINIT
Package Continuous Integration Documentation About AbiPy is a python library to analyze the results produced by Abinit, an open-source program for the
An HTML interface for finetuning the sync map output from aeneas
finetuneas 3.0 finetuneas is a simple HTML interface for fine tuning sync maps output by aeneas Version 3.0 Easier adjusting time: following cells wil
RCD: Relation Map Driven Cognitive Diagnosis for Intelligent Education Systems
RCD: Relation Map Driven Cognitive Diagnosis for Intelligent Education Systems This is our implementation for the paper: Weibo Gao, Qi Liu*, Zhenya Hu
An end-to-end image translation model with weight-map for color constancy
CCUnet An end-to-end image translation model with weight-map for color constancy 1. Download the dataset (take Colorchecker_recommended dataset as an
This code extracts line width of phonons from specular energy density (SED) calculated with LAMMPS.
This code extracts line width of phonons from specular energy density (SED) calculated with LAMMPS.
Robotics with GPU computing
Robotics with GPU computing Cupoch is a library that implements rapid 3D data processing for robotics using CUDA. The goal of this library is to imple
Python renderer for OpenStreetMap with custom icons intended to display as many map features as possible
Map Machine project consists of Python OpenStreetMap renderer: SVG map generation, SVG and PNG tile generation, Röntgen icon set: unique CC-BY 4.0 map
PyTorch implementation of normalizing flow models
PyTorch implementation of normalizing flow models
An open source bike computer based on Raspberry Pi Zero (W, WH) with GPS and ANT+. Including offline map and navigation.
Pi Zero Bikecomputer An open-source bike computer based on Raspberry Pi Zero (W, WH) with GPS and ANT+ https://github.com/hishizuka/pizero_bikecompute
Easy way to add GoogleMaps to Flask applications. maintainer: @getcake
Flask Google Maps Easy to use Google Maps in your Flask application requires Jinja Flask A google api key get here Contribute To contribute with the p
Explainability of the Implications of Supervised and Unsupervised Face Image Quality Estimations Through Activation Map Variation Analyses in Face Recognition Models
Explainable_FIQA_WITH_AMVA Note This is the official repository of the paper: Explainability of the Implications of Supervised and Unsupervised Face I
HDMapNet: A Local Semantic Map Learning and Evaluation Framework
HDMapNet_devkit Devkit for HDMapNet. HDMapNet: A Local Semantic Map Learning and Evaluation Framework Qi Li, Yue Wang, Yilun Wang, Hang Zhao [Paper] [
Script to create an animated data visualisation for categorical timeseries data - GIF choropleth map with annotations.
choropleth_ldn Simple script to create a chloropleth map of London with categorical timeseries data. The script in main.py creates a gif of the most f
Generative Handwriting using LSTM Mixture Density Network with TensorFlow
Generative Handwriting Demo using TensorFlow An attempt to implement the random handwriting generation portion of Alex Graves' paper. See my blog post
This repository contains the map content ontology used in narrative cartography
Narrative-cartography-ontology This repository contains the map content ontology used in narrative cartography, which is associated with a submission
PyTorch implementation for "HyperSPNs: Compact and Expressive Probabilistic Circuits", NeurIPS 2021
HyperSPN This repository contains code for the paper: HyperSPNs: Compact and Expressive Probabilistic Circuits "HyperSPNs: Compact and Expressive Prob
A simple application that calculates the probability distribution of a normal distribution
probability-density-function General info An application that calculates the probability density and cumulative distribution of a normal distribution
NeurIPS'21 Tractable Density Estimation on Learned Manifolds with Conformal Embedding Flows
NeurIPS'21 Tractable Density Estimation on Learned Manifolds with Conformal Embedding Flows This repo contains the code for the paper Tractable Densit
Imperial Valley Geomorphology Map
Roughly maps the extent of basins, basin edges, and mountains in the Imperial Valley by grouping terrain classes from the Iwahashi et al. 2021 California terrian classification model.
Pytorch implementation for "Density-aware Chamfer Distance as a Comprehensive Metric for Point Cloud Completion" (NeurIPS 2021)
Density-aware Chamfer Distance This repository contains the official PyTorch implementation of our paper: Density-aware Chamfer Distance as a Comprehe
Pytorch implementation for "Density-aware Chamfer Distance as a Comprehensive Metric for Point Cloud Completion" (NeurIPS 2021)
Density-aware Chamfer Distance This repository contains the official PyTorch implementation of our paper: Density-aware Chamfer Distance as a Comprehe
PyTorch implementation of saliency map-aided GAN for Auto-demosaic+denosing
Saiency Map-aided GAN for RAW2RGB Mapping The PyTorch implementations and guideline for Saiency Map-aided GAN for RAW2RGB Mapping. 1 Implementations B
Fast scatter density plots for Matplotlib
About Plotting millions of points can be slow. Real slow... 😴 So why not use density maps? ⚡ The mpl-scatter-density mini-package provides functional
Infomap is a network clustering algorithm based on the Map equation.
Infomap Infomap is a network clustering algorithm based on the Map equation. For detailed documentation, see mapequation.org/infomap. For a list of re
RAANet: Range-Aware Attention Network for LiDAR-based 3D Object Detection with Auxiliary Density Level Estimation
RAANet: Range-Aware Attention Network for LiDAR-based 3D Object Detection with Auxiliary Density Level Estimation Anonymous submission Abstract 3D obj
SalGAN: Visual Saliency Prediction with Generative Adversarial Networks
SalGAN: Visual Saliency Prediction with Adversarial Networks Junting Pan Cristian Canton Ferrer Kevin McGuinness Noel O'Connor Jordi Torres Elisa Sayr
Self Organising Map (SOM) for clustering of atomistic samples through unsupervised learning.
Self Organising Map for Clustering of Atomistic Samples - V2 Description Self Organising Map (also known as Kohonen Network) implemented in Python for
A bot that tweets info and location map for new bicycle parking added to OpenStreetMap within a GeoJSON boundary.
Bike parking tweepy bot app A twitter bot app that searches for bicycle parking added to OpenStreetMap. Relies on AWS Lambda/S3, Python3, Tweepy, Flas
MiniSom is a minimalistic implementation of the Self Organizing Maps
MiniSom Self Organizing Maps MiniSom is a minimalistic and Numpy based implementation of the Self Organizing Maps (SOM). SOM is a type of Artificial N
Implementation of Monocular Direct Sparse Localization in a Prior 3D Surfel Map (DSL)
DSL Project page: https://sites.google.com/view/dsl-ram-lab/ Monocular Direct Sparse Localization in a Prior 3D Surfel Map Authors: Haoyang Ye, Huaiya
A trivia questions about Europe
EUROPE TRIVIA QUIZ IN PYTHON Project Outline Ask user if he / she knows more about Europe. If yes show the Trivia main screen, else show the end Trivi
Learning to Map Large-scale Sparse Graphs on Memristive Crossbar
Release of AutoGMap:Learning to Map Large-scale Sparse Graphs on Memristive Crossbar For reproduction of our searched model, the Ubuntu OS is recommen
Deliver buycraft orders to players across the map in minecraft servers using baritone
Deliver buycraft orders to players across the map in minecraft servers using baritone
A map update dataset and benchmark
MUNO21 MUNO21 is a dataset and benchmark for machine learning methods that automatically update and maintain digital street map datasets. Previous dat
ecoglib: visualization and statistics for high density microecog signals
ecoglib: visualization and statistics for high density microecog signals This library contains high-level analysis tools for "topos" and "chronos" asp
A simple Python CLI tool that draws routes/paths on a given map.
Map Router A simple Python CLI tool that draws routes/paths on a given map. Index Installation Usage Docs Why? License Support Installation Coming soo
Map single-cell transcriptomes to copy number evolutionary trees.
Map single-cell transcriptomes to copy number evolutionary trees. Check out the tutorial for more information. Installation $ pip install scatrex SCA
Honours project, on creating a depth estimation map from two stereo images of featureless regions
image-processing This module generates depth maps for shape-blocked-out images Install If working with anaconda, then from the root directory: conda e
Using a GNSS module (Beidou + GPS) and the mapquest static map API
Using a GNSS module (Beidou + GPS) and the mapquest static map API
Code for a seq2seq architecture with Bahdanau attention designed to map stereotactic EEG data from human brains to spectrograms, using the PyTorch Lightning.
stereoEEG2speech We provide code for a seq2seq architecture with Bahdanau attention designed to map stereotactic EEG data from human brains to spectro
PyTorch implementation of SmoothGrad: removing noise by adding noise.
SmoothGrad implementation in PyTorch PyTorch implementation of SmoothGrad: removing noise by adding noise. Vanilla Gradients SmoothGrad Guided backpro
Differentiable Quantum Chemistry (only Differentiable Density Functional Theory and Hartree Fock at the moment)
DQC: Differentiable Quantum Chemistry Differentiable quantum chemistry package. Currently only support differentiable density functional theory (DFT)
A bare-bones Python library for quality diversity optimization.
pyribs Website Source PyPI Conda CI/CD Docs Docs Status Twitter pyribs.org GitHub docs.pyribs.org A bare-bones Python library for quality diversity op
LWCC: A LightWeight Crowd Counting library for Python that includes several pretrained state-of-the-art models.
LWCC: A LightWeight Crowd Counting library for Python LWCC is a lightweight crowd counting framework for Python. It wraps four state-of-the-art models
A course-planning, course-map rendering and GPA-calculation web service, designed for the SFU (Simon Fraser University) student.
SFU Course Planner What is the overall goal of the project (i.e. what does it do, or what problem is it solving)? As the title suggests, this project
Retentioneering: product analytics, data-driven customer journey map optimization, marketing analytics, web analytics, transaction analytics, graph visualization, and behavioral segmentation with customer segments in Python.
What is Retentioneering? Retentioneering is a Python framework and library to assist product analysts and marketing analysts as it makes it easier to
Simple package to enhance Python's concurrent.futures for memory efficiency
future-map is a Python library to use together with the official concurrent.futures module.
Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)
TorchCAM: class activation explorer Simple way to leverage the class-specific activation of convolutional layers in PyTorch. Quick Tour Setting your C
A script to "SHUA" H1-2 map of Mercenaries mode of Hearthstone
lushi_script Introduction This script is to "SHUA" H1-2 map of Mercenaries mode of Hearthstone Installation Make sure you installed python=3.6. To in
Benchmark tools for Compressive LiDAR-to-map registration
Benchmark tools for Compressive LiDAR-to-map registration This repo contains the released version of code and datasets used for our IROS 2021 paper: "
tetrados is a tool to generate a density of states using the linear tetrahedron method from a band structure.
tetrados tetrados is a tool to generate a density of states using the linear tetrahedron method from a band structure. Currently, only VASP calculatio
Density-aware Single Image De-raining using a Multi-stream Dense Network (CVPR 2018)
DID-MDN Density-aware Single Image De-raining using a Multi-stream Dense Network He Zhang, Vishal M. Patel [Paper Link] (CVPR'18) We present a novel d
This is an interactive MiniMap made with Python, PyQT5 & Pytesseract for the game
NWMM-New-World-MiniMap Features: Automatically grabs position from "New World" Instance Live visualisation of player position on MiniMap Circular & re
distfit - Probability density fitting
Python package for probability density function fitting of univariate distributions of non-censored data
A Python library for Deep Probabilistic Modeling
Abstract DeeProb-kit is a Python library that implements deep probabilistic models such as various kinds of Sum-Product Networks, Normalizing Flows an
This YoloV5 based model is fit to detect people and different types of land vehicles, and displaying their density on a fitted map, according to their coordinates and detected labels.
This YoloV5 based model is fit to detect people and different types of land vehicles, and displaying their density on a fitted map, according to their
Pytorch Feature Map Extractor
MapExtrackt Convolutional Neural Networks Are Beautiful We all take our eyes for granted, we glance at an object for an instant and our brains can ide
Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Including Grad-CAM, Grad-CAM++, Score-CAM, Ablation-CAM and XGrad-CAM
Class Activation Map methods implemented in Pytorch pip install grad-cam ⭐ Comprehensive collection of Pixel Attribution methods for Computer Vision.