1560 Repositories
Python latent-semantic-analysis Libraries
A general, feasible, and extensible framework for classification tasks.
Pytorch Classification A general, feasible and extensible framework for 2D image classification. Features Easy to configure (model, hyperparameters) T
[NeurIPS 2021] A weak-shot object detection approach by transferring semantic similarity and mask prior.
TransMaS This repository is the official pytorch implementation of the following paper: NIPS2021 Mixed Supervised Object Detection by TransferringMask
Regularized Frank-Wolfe for Dense CRFs: Generalizing Mean Field and Beyond
CRF - Conditional Random Fields A library for dense conditional random fields (CRFs). This is the official accompanying code for the paper Regularized
Contrastive Learning with Non-Semantic Negatives
Contrastive Learning with Non-Semantic Negatives This repository is the official implementation of Robust Contrastive Learning Using Negative Samples
[v1 (ISBI'21) + v2] MedMNIST: A Large-Scale Lightweight Benchmark for 2D and 3D Biomedical Image Classification
MedMNIST Project (Website) | Dataset (Zenodo) | Paper (arXiv) | MedMNIST v1 (ISBI'21) Jiancheng Yang, Rui Shi, Donglai Wei, Zequan Liu, Lin Zhao, Bili
SimplEx - Explaining Latent Representations with a Corpus of Examples
SimplEx - Explaining Latent Representations with a Corpus of Examples Code Author: Jonathan Crabbé ([email protected]) This repository contains the imp
A customized interface for single cell track visualisation based on pcnaDeep and napari.
pcnaDeep-napari A customized interface for single cell track visualisation based on pcnaDeep and napari. 👀 Under construction You can get test image
LightLog is an open source deep learning based lightweight log analysis tool for log anomaly detection.
LightLog Introduction LightLog is an open source deep learning based lightweight log analysis tool for log anomaly detection. Function description [BG
Identify and annotate mutations from genome editing assays.
CRISPR-detector Here we propose our CRISPR-detector to facilitate the CRISPR-edited amplicon and whole genome sequencing data analysis, with functions
Implementation of Apriori Algorithm for Association Analysis
Implementation of Apriori Algorithm for Association Analysis
Spatial Interpolation Toolbox is a Python-based GUI that is able to interpolate spatial data in vector format.
Spatial Interpolation Toolbox This is the home to Spatial Interpolation Toolbox, a graphical user interface (GUI) for interpolating geographic vector
Bendford analysis of Ethereum transaction
Bendford analysis of Ethereum transaction The python script script.py extract from already downloaded archive file the ethereum transaction. The value
[NeurIPS 2021] A weak-shot object detection approach by transferring semantic similarity and mask prior.
[NeurIPS 2021] A weak-shot object detection approach by transferring semantic similarity and mask prior.
K-means clustering is a method used for clustering analysis, especially in data mining and statistics.
K Means Algorithm What is K Means This algorithm is an iterative algorithm that partitions the dataset according to their features into K number of pr
Multiband spectro-radiometric satellite image analysis with K-means cluster algorithm
Multi-band Spectro Radiomertric Image Analysis with K-means Cluster Algorithm Overview Multi-band Spectro Radiomertric images are images comprising of
Anomaly Detection Based on Hierarchical Clustering of Mobile Robot Data
We proposed a new approach to detect anomalies of mobile robot data. We investigate each data seperately with two clustering method hierarchical and k-means. There are two sub-method that we used for produce an anomaly score. Then, we merge these two score and produce merged anomaly score as a result.
Code accompanying the paper Shared Independent Component Analysis for Multi-subject Neuroimaging
ShICA Code accompanying the paper Shared Independent Component Analysis for Multi-subject Neuroimaging Install Move into the ShICA directory cd ShICA
Unified Instance and Knowledge Alignment Pretraining for Aspect-based Sentiment Analysis
Unified Instance and Knowledge Alignment Pretraining for Aspect-based Sentiment Analysis Requirements python 3.7 pytorch-gpu 1.7 numpy 1.19.4 pytorch_
A Snakemake workflow for standardised sc/snRNAseq analysis
single_snake_sequencing - sc/snRNAseq Snakemake Workflow A Snakemake workflow for standardised sc/snRNAseq analysis. Every single cell analysis is sli
PyTorch implementation of Memory-based semantic segmentation for off-road unstructured natural environments.
MemSeg: Memory-based semantic segmentation for off-road unstructured natural environments Introduction This repository is a PyTorch implementation of
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
Semantic Segmentation on MIT ADE20K dataset in PyTorch This is a PyTorch implementation of semantic segmentation models on MIT ADE20K scene parsing da
The PyTorch implementation of DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision.
DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision The PyTorch implementation of DiscoBox: Weakly Supe
Python IDE or notebook to generate a basic Kepler.gl data visualization
geospatial-data-analysis [readme] Use this code in your Python IDE or notebook to generate a basic Kepler.gl data visualization, without pre-configura
Code repository for the work "Multi-Domain Incremental Learning for Semantic Segmentation", accepted at WACV 2022
Multi-Domain Incremental Learning for Semantic Segmentation This is the Pytorch implementation of our work "Multi-Domain Incremental Learning for Sema
This repository contains code demonstrating the methods outlined in Path Signature Area-Based Causal Discovery in Coupled Time Series presented at Causal Analysis Workshop 2021.
signed-area-causal-inference This repository contains code demonstrating the methods outlined in Path Signature Area-Based Causal Discovery in Coupled
Dynamic Neural Representational Decoders for High-Resolution Semantic Segmentation
Dynamic Neural Representational Decoders for High-Resolution Semantic Segmentation Requirements This repository needs mmsegmentation Training To train
PyABSA - Open & Efficient for Framework for Aspect-based Sentiment Analysis
PyABSA - Open & Efficient for Framework for Aspect-based Sentiment Analysis
This is a web application to visualize various famous technical indicators and stocks tickers from user
Visualizing Technical Indicators Using Python and Plotly. Currently facing issues hosting the application on heroku. As soon as I am able to I'll like
Weather analysis with Python, SQLite, SQLAlchemy, and Flask
Surf's Up Weather analysis with Python, SQLite, SQLAlchemy, and Flask Overview The purpose of this analysis was to examine weather trends (precipitati
Segmentation models with pretrained backbones. PyTorch.
Python library with Neural Networks for Image Segmentation based on PyTorch. The main features of this library are: High level API (just two lines to
Adaptive, interpretable wavelets across domains (NeurIPS 2021)
Adaptive wavelets Wavelets which adapt given data (and optionally a pre-trained model). This yields models which are faster, more compressible, and mo
Bar Chart of the number of Senators from each party who are up for election in the next three General Elections
Congress-Analysis Bar Chart of the number of Senators from each party who are up for election in the next three General Elections This bar chart shows
Solución al reto BBVA Contigo, Hack BBVA 2021
Solution Solución propuesta para el reto BBVA Contigo del Hackathon BBVA 2021. Equipo Mexdapy. Integrantes: David Pedroza Segoviano Regina Priscila Ba
3DMV jointly combines RGB color and geometric information to perform 3D semantic segmentation of RGB-D scans.
3DMV 3DMV jointly combines RGB color and geometric information to perform 3D semantic segmentation of RGB-D scans. This work is based on our ECCV'18 p
Code repository for Semantic Terrain Classification for Off-Road Autonomous Driving
BEVNet Datasets Datasets should be put inside data/. For example, data/semantic_kitti_4class_100x100. Training BEVNet-S Example: cd experiments bash t
Robotic hamster to give you financial advice
hampp Robotic hamster to give you financial advice. I am not liable for any advice that the hamster gives. Follow at your own peril. Description Hampp
Comparing Database performance with Django ORM
Comparing Database performance with Django ORM Postgresql MySQL MariaDB SQLite Comparing database operation performance using django ORM. PostgreSQL v
A lightweight Python-based 3D network multi-agent simulator. Uses a cell-based congestion model. Calculates risk, loudness and battery capacities of the agents. Suitable for 3D network optimization tasks.
AMAZ3DSim AMAZ3DSim is a lightweight python-based 3D network multi-agent simulator. It uses a cell-based congestion model. It calculates risk, battery
Official and maintained implementation of the paper "OSS-Net: Memory Efficient High Resolution Semantic Segmentation of 3D Medical Data" [BMVC 2021].
OSS-Net: Memory Efficient High Resolution Semantic Segmentation of 3D Medical Data Christoph Reich, Tim Prangemeier, Özdemir Cetin & Heinz Koeppl | Pr
A simple Blog Using Django Framework and Used IBM Cloud Services for Text Analysis and Text to Speech
ElhamBlog Cloud Computing Course first assignment. A simple Blog Using Django Framework and Used IBM Cloud Services for Text Analysis and Text to Spee
NLP-based analysis of poor Chinese movie reviews on Douban
douban_embedding 豆瓣中文影评差评分析 1. NLP NLP(Natural Language Processing)是指自然语言处理,他的目的是让计算机可以听懂人话。 下面是我将2万条豆瓣影评训练之后,随意输入一段新影评交给神经网络,最终AI推断出的结果。 "很好,演技不错
Reimplementation of Dynamic Multi-scale filters for Semantic Segmentation.
Paddle implementation of Dynamic Multi-scale filters for Semantic Segmentation.
Official and maintained implementation of the paper "OSS-Net: Memory Efficient High Resolution Semantic Segmentation of 3D Medical Data" [BMVC 2021].
OSS-Net: Memory Efficient High Resolution Semantic Segmentation of 3D Medical Data Christoph Reich, Tim Prangemeier, Özdemir Cetin & Heinz Koeppl | Pr
Python Project on Pro Data Analysis Track
Udacity-BikeShare-Project: Python Project on Pro Data Analysis Track Basic Data Exploration with pandas on Bikeshare Data Basic Udacity project using
Code needed for hybrid land cover change analysis for NASA IDS project
Documentation for the NASA IDS change analysis Poley 10/21/2021 Required python packages: whitebox numpy rasterio rasterio.mask os glob math itertools
Code for reproducing our paper: LMSOC: An Approach for Socially Sensitive Pretraining
LMSOC: An Approach for Socially Sensitive Pretraining Code for reproducing the paper LMSOC: An Approach for Socially Sensitive Pretraining to appear a
Script to quickly get the metrics from Github repos to analyze.
commit-prefix-analysis Script to quickly get the metrics from Github repos to analyze. Setup Install the Github CLI. You'll know its working when runn
Blue Brain text mining toolbox for semantic search and structured information extraction
Blue Brain Search Source Code DOI Data & Models DOI Documentation Latest Release Python Versions License Build Status Static Typing Code Style Securit
Reddit bot that uses sentiment analysis
Reddit Bot Project 2: Neural Network Boogaloo Reddit bot that uses sentiment analysis from NLTK.VADER WIP_WIP_WIP_WIP_WIP_WIP Link to test subreddit:
Analysis of ROM image for Norsk Data VDU 301 S
This repository is meant to analyze the ROM images from Norsk Data VDU 301 S as provided at by Torfinn. To combine the two ROM image halves and extrac
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
PICK: Processing Key Information Extraction from Documents using Improved Graph Learning-Convolutional Networks
Code for the paper "PICK: Processing Key Information Extraction from Documents using Improved Graph Learning-Convolutional Networks" (ICPR 2020)
Project code for weakly supervised 3D object detectors using wide-baseline multi-view traffic camera data: WIBAM.
WIBAM (Work in progress) Weakly Supervised Training of Monocular 3D Object Detectors Using Wide Baseline Multi-view Traffic Camera Data 3D object dete
InDels analysis of CRISPR lines by NGS amplicon sequencing technology for a multicopy gene family.
CRISPRanalysis InDels analysis of CRISPR lines by NGS amplicon sequencing technology for a multicopy gene family. In this work, we present a workflow
InterFaceGAN - Interpreting the Latent Space of GANs for Semantic Face Editing
InterFaceGAN - Interpreting the Latent Space of GANs for Semantic Face Editing Figure: High-quality facial attributes editing results with InterFaceGA
Vector AI — A platform for building vector based applications. Encode, query and analyse data using vectors.
Vector AI is a framework designed to make the process of building production grade vector based applications as quickly and easily as possible. Create
TagLab: an image segmentation tool oriented to marine data analysis
TagLab: an image segmentation tool oriented to marine data analysis TagLab was created to support the activity of annotation and extraction of statist
Rendering color and depth images for ShapeNet models.
Color & Depth Renderer for ShapeNet This library includes the tools for rendering multi-view color and depth images of ShapeNet models. Physically bas
Identify the emotion of multiple speakers in an Audio Segment
MevonAI - Speech Emotion Recognition Identify the emotion of multiple speakers in a Audio Segment Report Bug · Request Feature Try the Demo Here Table
INSPIRED: A Transparent Dialogue Dataset for Interactive Semantic Parsing
INSPIRED: A Transparent Dialogue Dataset for Interactive Semantic Parsing Existing studies on semantic parsing focus primarily on mapping a natural-la
Proposed n-stage Latent Dirichlet Allocation method - A Novel Approach for LDA
n-stage Latent Dirichlet Allocation (n-LDA) Proposed n-LDA & A Novel Approach for classical LDA Latent Dirichlet Allocation (LDA) is a generative prob
Open & Efficient for Framework for Aspect-based Sentiment Analysis
PyABSA - Open & Efficient for Framework for Aspect-based Sentiment Analysis Fast & Low Memory requirement & Enhanced implementation of Local Context F
A rule learning algorithm for the deduction of syndrome definitions from time series data.
README This project provides a rule learning algorithm for the deduction of syndrome definitions from time series data. Large parts of the algorithm a
Official implementation of deep-multi-trajectory-based single object tracking (IEEE T-CSVT 2021).
DeepMTA_PyTorch Officical PyTorch Implementation of "Dynamic Attention-guided Multi-TrajectoryAnalysis for Single Object Tracking", Xiao Wang, Zhe Che
Scalable implementation of Lee / Mykland (2012) and Ait-Sahalia / Jacod (2012) Jump tests for noisy high frequency data
JumpDetectR Name of QuantLet : JumpDetectR Published in : 'To be published as "Jump dynamics in high frequency crypto markets"' Description : 'Scala
On the Analysis of French Phonetic Idiosyncrasies for Accent Recognition
On the Analysis of French Phonetic Idiosyncrasies for Accent Recognition With the spirit of reproducible research, this repository contains codes requ
SPRING is a seq2seq model for Text-to-AMR and AMR-to-Text (AAAI2021).
SPRING This is the repo for SPRING (Symmetric ParsIng aNd Generation), a novel approach to semantic parsing and generation, presented at AAAI 2021. Wi
kikuchipy is an open-source Python library for processing and analysis of electron backscatter diffraction (EBSD) patterns
kikuchipy is an open-source Python library for processing and analysis of electron backscatter diffraction (EBSD) patterns. The library builds on the
QSIprep: Preprocessing and analysis of q-space images
QSIprep: Preprocessing and analysis of q-space images Full documentation at https://qsiprep.readthedocs.io About qsiprep configures pipelines for proc
Techdegree Data Analysis Project 2
Basketball Team Stats Tool In this project you will be writing a program that reads from the "constants" data (PLAYERS and TEAMS) in constants.py. Thi
[ICCV 2021] A Simple Baseline for Semi-supervised Semantic Segmentation with Strong Data Augmentation
[ICCV 2021] A Simple Baseline for Semi-supervised Semantic Segmentation with Strong Data Augmentation
Dual Graph Attention Networks for Deep Latent Representation of Multifaceted Social Effects in Recommender Systems
DANSER-WWW-19 This repository holds the codes for Dual Graph Attention Networks for Deep Latent Representation of Multifaceted Social Effects in Recom
[ICCV 2021] Focal Frequency Loss for Image Reconstruction and Synthesis
Focal Frequency Loss - Official PyTorch Implementation This repository provides the official PyTorch implementation for the following paper: Focal Fre
Official implementation for paper: A Latent Transformer for Disentangled Face Editing in Images and Videos.
A Latent Transformer for Disentangled Face Editing in Images and Videos Official implementation for paper: A Latent Transformer for Disentangled Face
Styled Handwritten Text Generation with Transformers (ICCV 21)
⚡ Handwriting Transformers [PDF] Ankan Kumar Bhunia, Salman Khan, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan & Mubarak Shah Abstract: We
Multiparametric Image Analysis
Documentation The documentation is available on populse_mia's website here Installation From PyPI, for users By cloning the package, for developers Fr
impy is an all-in-one image analysis library, equipped with parallel processing, GPU support, GUI based tools and so on.
impy is All You Need in Image Analysis impy is an all-in-one image analysis library, equipped with parallel processing, GPU support, GUI based tools a
Code for our paper "Interactive Analysis of CNN Robustness"
Perturber Code for our paper "Interactive Analysis of CNN Robustness" Datasets Feature visualizations: Google Drive Fine-tuning checkpoints as saved m
This library contains a Tensorflow implementation of the paper Stability Analysis of Unfolded WMMSE for Power Allocation
UWMMSE-stability Tensorflow implementation of Stability Analysis of UWMMSE Overview This library contains a Tensorflow implementation of the paper Sta
ViSD4SA, a Vietnamese Span Detection for Aspect-based sentiment analysis dataset
UIT-ViSD4SA PACLIC 35 General Introduction This repository contains the data of the paper: Span Detection for Vietnamese Aspect-Based Sentiment Analys
Official implementation for paper: A Latent Transformer for Disentangled Face Editing in Images and Videos.
A Latent Transformer for Disentangled Face Editing in Images and Videos Official implementation for paper: A Latent Transformer for Disentangled Face
Documentation and issues for Pylance - Fast, feature-rich language support for Python
Documentation and issues for Pylance - Fast, feature-rich language support for Python
Tindicators is a Python library to calculate the values of various technical indicators
Tindicators is a Python library to calculate the values of various technical indicators
Terraform module to ship CloudTrail logs stored in a S3 bucket into a Kinesis stream for further processing and real-time analysis.
AWS infrastructure to ship CloudTrail logs from S3 to Kinesis This repository contains a Terraform module to ship CloudTrail logs stored in a S3 bucke
Propose a principled and practically effective framework for unsupervised accuracy estimation and error detection tasks with theoretical analysis and state-of-the-art performance.
Detecting Errors and Estimating Accuracy on Unlabeled Data with Self-training Ensembles This project is for the paper: Detecting Errors and Estimating
Deep Markov Factor Analysis (NeurIPS2021)
Deep Markov Factor Analysis (DMFA) Codes and experiments for deep Markov factor analysis (DMFA) model accepted for publication at NeurIPS2021: A. Farn
A simple demonstration of integrating a sentiment analysis tool in a django project
sentiment-analysis A simple demonstration of integrating a sentiment analysis tool in a django project (watch the video .mp4) To run this project : pi
Hapi is a Python library for building Conceptual Distributed Model using HBV96 lumped model & Muskingum routing method
Current build status All platforms: Current release info Name Downloads Version Platforms Hapi - Hydrological library for Python Hapi is an open-sourc
Medical image analysis framework merging ANTsPy and deep learning
ANTsPyNet A collection of deep learning architectures and applications ported to the python language and tools for basic medical image processing. Bas
The Multi-Mission Maximum Likelihood framework (3ML)
PyPi Conda The Multi-Mission Maximum Likelihood framework (3ML) A framework for multi-wavelength/multi-messenger analysis for astronomy/astrophysics.
Python-based Space Physics Environment Data Analysis Software
pySPEDAS pySPEDAS is an implementation of the SPEDAS framework for Python. The Space Physics Environment Data Analysis Software (SPEDAS) framework is
BioMASS - A Python Framework for Modeling and Analysis of Signaling Systems
Mathematical modeling is a powerful method for the analysis of complex biological systems. Although there are many researches devoted on produ
MaD GUI is a basis for graphical annotation and computational analysis of time series data.
MaD GUI Machine Learning and Data Analytics Graphical User Interface MaD GUI is a basis for graphical annotation and computational analysis of time se
A collection of papers about Transformer in the field of medical image analysis.
A collection of papers about Transformer in the field of medical image analysis.
Analysis of rationale selection in neural rationale models
Neural Rationale Interpretability Analysis We analyze the neural rationale models proposed by Lei et al. (2016) and Bastings et al. (2019), as impleme
Multimodal Descriptions of Social Concepts: Automatic Modeling and Detection of (Highly Abstract) Social Concepts evoked by Art Images
MUSCO - Multimodal Descriptions of Social Concepts Automatic Modeling of (Highly Abstract) Social Concepts evoked by Art Images This project aims to i
Python and OpenCV-based scene cut/transition detection program & library.
Video Scene Cut Detection and Analysis Tool Latest Release: v0.5.6.1 (October 11, 2021) Main Webpage: py.scenedetect.com Documentation: manual.scenede
DataPrep — The easiest way to prepare data in Python
DataPrep — The easiest way to prepare data in Python
Python Library for Signal/Image Data Analysis with Transport Methods
PyTransKit Python Transport Based Signal Processing Toolkit Website and documentation: https://pytranskit.readthedocs.io/ Installation The library cou
Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation (NeurIPS 2021)
Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation (NeurIPS 2021) The implementation of Reducing Infromation Bottleneck for W