101 Repositories
Python the-matrix-rain Libraries
ProtFeat is protein feature extraction tool that utilizes POSSUM and iFeature.
Description: ProtFeat is designed to extract the protein features by employing POSSUM and iFeature python-based tools. ProtFeat includes a total of 39
Object detection evaluation metrics using Python.
Object detection evaluation metrics using Python.
SGMC: Spectral Graph Matrix Completion
SGMC: Spectral Graph Matrix Completion Code for AAAI21 paper "Scalable and Explainable 1-Bit Matrix Completion via Graph Signal Learning". Data Format
A tool to find good RCE From my series: A powerful Burp extension to make bounties rain
A tool to find good RCE From my series: A powerful Burp extension to make bounties rain
PyTorch implementation of the paper: Label Noise Transition Matrix Estimation for Tasks with Lower-Quality Features
Label Noise Transition Matrix Estimation for Tasks with Lower-Quality Features Estimate the noise transition matrix with f-mutual information. This co
NumPy String-Indexed is a NumPy extension that allows arrays to be indexed using descriptive string labels
NumPy String-Indexed NumPy String-Indexed is a NumPy extension that allows arrays to be indexed using descriptive string labels, rather than conventio
A template / demo bot for the Halcyon matrix bot library
Halcyon stock bot Hello! This is an example / template bot using the halcyon matrix bot library. Feel free to ask questions in the matrix chat #halcyo
A script written in Python that returns a consensus string and profile matrix of a given DNA string(s) in FASTA format.
A script written in Python that returns a consensus string and profile matrix of a given DNA string(s) in FASTA format.
Code for You Only Cut Once: Boosting Data Augmentation with a Single Cut
You Only Cut Once (YOCO) YOCO is a simple method/strategy of performing augmenta
This is an incredible led matrix simulation using the ultimate mosaik co-simulation framework.
This project uses the mosaik co-simulation framework, developed by the brilliant developers at the high-ranked Offis institue for computer science, Oldenburg, Germany, to simulate multidimensional LED matrices.
GAN-based Matrix Factorization for Recommender Systems
GAN-based Matrix Factorization for Recommender Systems This repository contains the datasets' splits, the source code of the experiments and their res
Geometric Interpretation of Matrix Square Root and Inverse Square Root
Fast Differentiable Matrix Sqrt Root Geometric Interpretation of Matrix Square Root and Inverse Square Root This repository constains the official Pyt
BritishTrainsDepartureBoard - A pygame program that immitates the dot matrix departure screens found at National Rail stations
BritishTrainsDepartureBoard - A pygame program that immitates the dot matrix departure screens found at National Rail stations
Curvipy - The Python package for visualizing curves and linear transformations in a super simple way
Curvipy - The Python package for visualizing curves and linear transformations in a super simple way
Pretty Confusion Matrix
Pretty Confusion Matrix Why pretty confusion matrix? We can make confusion matrix by using matplotlib. However it is not so pretty. I want to make con
Fast Differentiable Matrix Sqrt Root
Official Pytorch implementation of ICLR 22 paper Fast Differentiable Matrix Square Root
PR Changes Matrix Builder
Pr-changes-matrix-builder - A Github Action that will output a variable to be used in a matrix strategy job based on a PR&'s changes
TART - A PyTorch implementation for Transition Matrix Representation of Trees with Transposed Convolutions
TART This project is a PyTorch implementation for Transition Matrix Representati
🧮 Matrix Factorization for Collaborative Filtering is just Solving an Adjoint Latent Dirichlet Allocation Model after All
Accompanying source code to the paper "Matrix Factorization for Collaborative Filtering is just Solving an Adjoint Latent Dirichlet Allocation Model A
Leveraging Social Influence based on Users Activity Centers for Point-of-Interest Recommendation
SUCP Leveraging Social Influence based on Users Activity Centers for Point-of-Interest Recommendation () Direct Friends (i.e., users who follow each o
Pythonic particle-based (super-droplet) warm-rain/aqueous-chemistry cloud microphysics package with box, parcel & 1D/2D prescribed-flow examples in Python, Julia and Matlab
PySDM PySDM is a package for simulating the dynamics of population of particles. It is intended to serve as a building block for simulation systems mo
The worst but simplest webhook bot for GitHub and Matrix.
gh-bot gh-bot is maybe the worst (but simplest) Matrix webhook bot for Github. Example of commits: Example of workflow finished: Setting up Server You
Generalized Matrix Means for Semi-Supervised Learning with Multilayer Graphs
Generalized Matrix Means for Semi-Supervised Learning with Multilayer Graphs MATLAB implementation of the paper: P. Mercado, F. Tudisco, and M. Hein,
Finite difference solution of 2D Poisson equation. Can handle Dirichlet, Neumann and mixed boundary conditions.
Poisson-solver-2D Finite difference solution of 2D Poisson equation Current version can handle Dirichlet, Neumann, and mixed (combination of Dirichlet
A simple electrical network analyzer, BASED ON computer-aided design.
Electrical Network Analyzer A simple electrical network analyzer. Given the oriented graph of the electrical network (circut), BASED ON computer-aided
RCDNet: A Model-driven Deep Neural Network for Single Image Rain Removal (CVPR2020)
RCDNet: A Model-driven Deep Neural Network for Single Image Rain Removal (CVPR2020) Hong Wang, Qi Xie, Qian Zhao, and Deyu Meng [PDF] [Supplementary M
Spline is a tool that is capable of running locally as well as part of well known pipelines like Jenkins (Jenkinsfile), Travis CI (.travis.yml) or similar ones.
Welcome to spline - the pipeline tool Important note: Since change in my job I didn't had the chance to continue on this project. My main new project
An example of matrix addition, demonstrating the basic method of Python calling C library functions
Example for Python call C functions An example of matrix addition, demonstrating the basic method of Python calling C library functions. How to run Bu
⛵️The official PyTorch implementation for "BERT-of-Theseus: Compressing BERT by Progressive Module Replacing" (EMNLP 2020).
BERT-of-Theseus Code for paper "BERT-of-Theseus: Compressing BERT by Progressive Module Replacing". BERT-of-Theseus is a new compressed BERT by progre
Computational Methods Course at UdeA. Forked and size reduced from:
Computational Methods for Physics & Astronomy Book version at: https://restrepo.github.io/ComputationalMethods by: Sebastian Bustamante 2014/2015 Dieg
A dashboard for Raspberry Pi to display environmental weather data, rain radar, weather forecast, etc. written in Python
Weather Clock for Raspberry PI This project is a dashboard for Raspberry Pi to display environmental weather data, rain radar, weather forecast, etc.
A Github Action for sending messages to a Matrix Room.
matrix-commit A Github Action for sending messages to a Matrix Room. Screenshot: Example Usage: # .github/workflows/matrix-commit.yml on: push:
A web service for scanning media hosted by a Matrix media repository
Matrix Content Scanner A web service for scanning media hosted by a Matrix media repository Installation TODO Development In a virtual environment wit
Halcyon is a Matrix bot library created with the intention of being easy to install and use. Inspired by discord.py
Halcyon is a Matrix bot library with the goal of being easy to install and use. The library takes inspiration from discord.py and the Slack li
CUda Matrix Multiply library.
cumm CUda Matrix Multiply library. cumm is developed during learning of CUTLASS, which use too much c++ template and make code unmaintainable. So I de
A module to prevent invites and joins to Matrix rooms by checking the involved server(s)' domain.
Synapse Domain Rule Checker A module to prevent invites and joins to Matrix rooms by checking the involved server(s)' domain. Installation From the vi
Enabling Lightweight Fine-tuning for Pre-trained Language Model Compression based on Matrix Product Operators
Enabling Lightweight Fine-tuning for Pre-trained Language Model Compression based on Matrix Product Operators This is our Pytorch implementation for t
A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms
MatrixProfile MatrixProfile is a Python 3 library, brought to you by the Matrix Profile Foundation, for mining time series data. The Matrix Profile is
ContourletNet: A Generalized Rain Removal Architecture Using Multi-Direction Hierarchical Representation
ContourletNet: A Generalized Rain Removal Architecture Using Multi-Direction Hierarchical Representation (Accepted by BMVC'21) Abstract: Images acquir
Some example code for using a raspberry pi to draw text (including emojis) and twitch emotes to a HUB75 RGB matrix via an HTTP post endpoint.
Some example code for using a raspberry pi to draw text (including emojis) and twitch emotes to a HUB75 RGB matrix via an HTTP post endpoint.
Source code for our Paper "Learning in High-Dimensional Feature Spaces Using ANOVA-Based Matrix-Vector Multiplication"
NFFT4ANOVA Source code for our Paper "Learning in High-Dimensional Feature Spaces Using ANOVA-Based Matrix-Vector Multiplication" This package uses th
Image De-raining Using a Conditional Generative Adversarial Network
Image De-raining Using a Conditional Generative Adversarial Network [Paper Link] [Project Page] He Zhang, Vishwanath Sindagi, Vishal M. Patel In this
MASS (Mueen's Algorithm for Similarity Search) - a python 2 and 3 compatible library used for searching time series sub-sequences under z-normalized Euclidean distance for similarity.
Introduction MASS allows you to search a time series for a subquery resulting in an array of distances. These array of distances enable you to identif
A Python wrapper for Matrix Synapse admin API
Synapse-admin-api-python A Python wrapper for Matrix Synapse admin API. Versioning This library now supports up to Synapse 1.45.0, any Admin API intro
A collection of differentiable SVD methods and also the official implementation of the ICCV21 paper "Why Approximate Matrix Square Root Outperforms Accurate SVD in Global Covariance Pooling?"
Differentiable SVD Introduction This repository contains: The official Pytorch implementation of ICCV21 paper Why Approximate Matrix Square Root Outpe
Companion "receiver" to matrix-appservice-webhooks for [matrix].
Matrix Webhook Receiver Companion "receiver" to matrix-appservice-webhooks for [matrix]. The purpose of this app is to listen for generic webhook mess
Learning Multiresolution Matrix Factorization and its Wavelet Networks on Graphs
Project Learning Multiresolution Matrix Factorization and its Wavelet Networks on Graphs, https://arxiv.org/pdf/2111.01940.pdf. Authors Truong Son Hy
UV matrix decompostion using movielens dataset
UV-matrix-decompostion-with-kfold UV matrix decompostion using movielens dataset upload the 'ratings.dat' file install the following python libraries
Convert a collection of features to a fixed-dimensional matrix using the hashing trick.
FeatureHasher Convert a collection of features to a fixed-dimensional matrix using the hashing trick. Note, this requires Jina=2.2.4. Example Here I
Fun project to generate The Matrix Code effect on you terminal.
Fun project to generate The Matrix Code effect on you terminal.
Implementation of SSMF: Shifting Seasonal Matrix Factorization
SSMF Implementation of SSMF: Shifting Seasonal Matrix Factorization, Koki Kawabata, Siddharth Bhatia, Rui Liu, Mohit Wadhwa, Bryan Hooi. NeurIPS, 2021
Matrix trivia bot with python
Matrix-trivia-bot Getting started See SETUP.md for how to setup and run the template project. Project structure A reference of each file included in t
This is REST-API for Indonesian Text Summarization using Non-Negative Matrix Factorization for the algorithm to summarize documents and FastAPI for the framework.
Indonesian Text Summarization Using FastAPI This is REST-API for Indonesian Text Summarization using Non-Negative Matrix Factorization for the algorit
10x faster matrix and vector operations
Bolt is an algorithm for compressing vectors of real-valued data and running mathematical operations directly on the compressed representations. If yo
Python pygame project that turns your images to matrix rain
Matrix-Rain-An-Image This project implements the classic Matrix digital rain effect in python with pygame to build up an image provided with multiple
ALL Snow Removed: Single Image Desnowing Algorithm Using Hierarchical Dual-tree Complex Wavelet Representation and Contradict Channel Loss (HDCWNet)
ALL Snow Removed: Single Image Desnowing Algorithm Using Hierarchical Dual-tree Complex Wavelet Representation and Contradict Channel Loss (HDCWNet) (
Transform-Invariant Non-Negative Matrix Factorization
Transform-Invariant Non-Negative Matrix Factorization A comprehensive Python package for Non-Negative Matrix Factorization (NMF) with a focus on learn
Classes and functions for animated text and graphics on an LED display
LEDarcade A collection of classes and functions for animated text and graphics on an Adafruit LED Matrix.
A numpy-based implementation of RANSAC for fundamental matrix and homography estimation. The degeneracy updating and local optimization components are included and optional.
Description A numpy-based implementation of RANSAC for fundamental matrix and homography estimation. The degeneracy updating and local optimization co
Efficient matrix representations for working with tabular data
Efficient matrix representations for working with tabular data
Semi-supervised Transfer Learning for Image Rain Removal. In CVPR 2019.
Semi-supervised Transfer Learning for Image Rain Removal This package contains the Python implementation of "Semi-supervised Transfer Learning for Ima
Spatial Attentive Single-Image Deraining with a High Quality Real Rain Dataset (CVPR'19)
Spatial Attentive Single-Image Deraining with a High Quality Real Rain Dataset (CVPR'19) Tianyu Wang*, Xin Yang*, Ke Xu, Shaozhe Chen, Qiang Zhang, Ry
A simple matrix code rain created using Python with Pygame.
Matrix4_code_rain A simple matrix code rain created using Python with Pygame. To run the code you will need Pygame and MS Mincho font. Create a projec
Official implementations of EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis.
EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis This repo contains the official implementations of EigenDamage: Structured Prunin
A Matrix-Instagram DM puppeting bridge
mautrix-instagram A Matrix-Instagram DM puppeting bridge. Documentation All setup and usage instructions are located on docs.mau.fi. Some quick links:
Adding two matrix from scratch using python.
Adding-two-matrix-from-scratch-using-python. Here, I have take two matrix from user and add it without using any library. I made this program from scr
An extension for asreview implements a version of the tf-idf feature extractor that saves the matrix and the vocabulary.
Extension - matrix and vocabulary extractor for TF-IDF and Doc2Vec An extension for ASReview that adds a tf-idf extractor that saves the matrix and th
A dot matrix rendered using braille characters.
⣿ dotmatrix A dot matrix rendered using braille characters. Description This library provides class called Matrix which represents a dot matrix that c
Code for Blind Image Decomposition (BID) and Blind Image Decomposition network (BIDeN).
arXiv, porject page, paper Blind Image Decomposition (BID) Blind Image Decomposition is a novel task. The task requires separating a superimposed imag
Graph-based community clustering approach to extract protein domains from a predicted aligned error matrix
Using a predicted aligned error matrix corresponding to an AlphaFold2 model , returns a series of lists of residue indices, where each list corresponds to a set of residues clustering together into a pseudo-rigid domain.
A maubot plugin to invite users to Matrix rooms according to LDAP groups
LDAP Inviter Bot This is a maubot plugin that invites users to Matrix rooms according to their membership in LDAP groups.
A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).
Attention Walk ⠀⠀ A PyTorch Implementation of Watch Your Step: Learning Node Embeddings via Graph Attention (NIPS 2018). Abstract Graph embedding meth
This repo contains the official implementations of EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis
EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis This repo contains the official implementations of EigenDamage: Structured Prunin
【CVPR 2021, Variational Inference Framework, PyTorch】 From Rain Generation to Rain Removal
From Rain Generation to Rain Removal (CVPR2021) Hong Wang, Zongsheng Yue, Qi Xie, Qian Zhao, Yefeng Zheng, and Deyu Meng [PDF&&Supplementary Material]
Point Cloud Denoising input segmentation output raw point-cloud valid/clear fog rain de-noised Abstract Lidar sensors are frequently used in environme
Point Cloud Denoising input segmentation output raw point-cloud valid/clear fog rain de-noised Abstract Lidar sensors are frequently used in environme
This project checks the weather in the next 12 hours and sends an SMS to your phone number if it's going to rain to remind you to take your umbrella.
RainAlert-Request-Twilio This project checks the weather in the next 12 hours and sends an SMS to your phone number if it's going to rain to remind yo
Self-Learned Video Rain Streak Removal: When Cyclic Consistency Meets Temporal Correspondence
In this paper, we address the problem of rain streaks removal in video by developing a self-learned rain streak removal method, which does not require any clean groundtruth images in the training process.
Heisenbridge a bouncer-style Matrix IRC bridge
Heisenbridge brings IRC to Matrix by creating an environment where every user connects to each network individually like they would with a traditional IRC bouncer
(SIGIR2020) “Asymmetric Tri-training for Debiasing Missing-Not-At-Random Explicit Feedback’’
Asymmetric Tri-training for Debiasing Missing-Not-At-Random Explicit Feedback About This repository accompanies the real-world experiments conducted i
Semi-supervised Video Deraining with Dynamical Rain Generator (CVPR, 2021, Pytorch)
S2VD Semi-supervised Video Deraining with Dynamical Rain Generator (CVPR, 2021) Requirements and Dependencies Ubuntu 16.04, cuda 10.0 Python 3.6.10, P
OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)
OCTIS : Optimizing and Comparing Topic Models is Simple! OCTIS (Optimizing and Comparing Topic models Is Simple) aims at training, analyzing and compa
Elliot is a comprehensive recommendation framework that analyzes the recommendation problem from the researcher's perspective.
Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
monolish: MONOlithic Liner equation Solvers for Highly-parallel architecture
monolish is a linear equation solver library that monolithically fuses variable data type, matrix structures, matrix data format, vendor specific data transfer APIs, and vendor specific numerical algebra libraries.
An open-source library of algorithms to analyse time series in GPU and CPU.
An open-source library of algorithms to analyse time series in GPU and CPU.
Scikit-learn compatible estimation of general graphical models
skggm : Gaussian graphical models using the scikit-learn API In the last decade, learning networks that encode conditional independence relationships
Multivariate imputation and matrix completion algorithms implemented in Python
A variety of matrix completion and imputation algorithms implemented in Python 3.6. To install: pip install fancyimpute Do not use conda. We don't sup
The goal of this library is to generate more helpful exception messages for numpy/pytorch matrix algebra expressions.
Tensor Sensor See article Clarifying exceptions and visualizing tensor operations in deep learning code. One of the biggest challenges when writing co
PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations
PyTorch Sparse This package consists of a small extension library of optimized sparse matrix operations with autograd support. This package currently
A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile
matrixprofile-ts matrixprofile-ts is a Python 2 and 3 library for evaluating time series data using the Matrix Profile algorithms developed by the Keo
STUMPY is a powerful and scalable Python library for computing a Matrix Profile, which can be used for a variety of time series data mining tasks
STUMPY STUMPY is a powerful and scalable library that efficiently computes something called the matrix profile, which can be used for a variety of tim
[ICLR 2021] Is Attention Better Than Matrix Decomposition?
Enjoy-Hamburger 🍔 Official implementation of Hamburger, Is Attention Better Than Matrix Decomposition? (ICLR 2021) Under construction. Introduction T
Scikit-learn compatible estimation of general graphical models
skggm : Gaussian graphical models using the scikit-learn API In the last decade, learning networks that encode conditional independence relationships
fastFM: A Library for Factorization Machines
Citing fastFM The library fastFM is an academic project. The time and resources spent developing fastFM are therefore justified by the number of citat
Synapse: Matrix reference homeserver
Synapse Contents Introduction About Matrix Support Synapse Installation Connecting to Synapse from a client Registering a new user from a client ACME
A Python scikit for building and analyzing recommender systems
Overview Surprise is a Python scikit for building and analyzing recommender systems that deal with explicit rating data. Surprise was designed with th
Deep recommender models using PyTorch.
Spotlight uses PyTorch to build both deep and shallow recommender models. By providing both a slew of building blocks for loss functions (various poin
A Python implementation of LightFM, a hybrid recommendation algorithm.
LightFM Build status Linux OSX (OpenMP disabled) Windows (OpenMP disabled) LightFM is a Python implementation of a number of popular recommendation al
Fast Python Collaborative Filtering for Implicit Feedback Datasets
Implicit Fast Python Collaborative Filtering for Implicit Datasets. This project provides fast Python implementations of several different popular rec
fastFM: A Library for Factorization Machines
Citing fastFM The library fastFM is an academic project. The time and resources spent developing fastFM are therefore justified by the number of citat
Multi-class confusion matrix library in Python
Table of contents Overview Installation Usage Document Try PyCM in Your Browser Issues & Bug Reports Todo Outputs Dependencies Contribution References