538 Repositories
Python Multiple-Linear-Regression-master Libraries
Python Machine Learning Jupyter Notebooks (ML website)
Python Machine Learning Jupyter Notebooks (ML website) Dr. Tirthajyoti Sarkar, Fremont, California (Please feel free to connect on LinkedIn here) Also
A Python script that wraps the gitleaks tool to enable scanning of multiple repositories in parallel
mpgitleaks A Python script that wraps the gitleaks tool to enable scanning of multiple repositories in parallel. The motivation behind writing this sc
Implements a polyglot REPL which supports multiple languages and shared meta-object protocol scope between REPLs.
MetaCall Polyglot REPL Description This repository implements a Polyglot REPL which shares the state of the meta-object protocol between the REPLs. Us
Simple Linear 2nd ODE Solver GUI - A 2nd constant coefficient linear ODE solver with simple GUI using euler's method
Simple_Linear_2nd_ODE_Solver_GUI Description It is a 2nd constant coefficient li
Linear Variational State Space Filters
Linear Variational State Space Filters To set up the environment, use the provided scripts in the docker/ folder to build and run the codebase inside
The dynamics of representation learning in shallow, non-linear autoencoders
The dynamics of representation learning in shallow, non-linear autoencoders The package is written in python and uses the pytorch implementation to ML
Repository for the AugmentedPCA Python package.
Overview This Python package provides implementations of Augmented Principal Component Analysis (AugmentedPCA) - a family of linear factor models that
Specification language for generating Generalized Linear Models (with or without mixed effects) from conceptual models
tisane Tisane: Authoring Statistical Models via Formal Reasoning from Conceptual and Data Relationships TL;DR: Analysts can use Tisane to author gener
FEMDA: Robust classification with Flexible Discriminant Analysis in heterogeneous data
FEMDA: Robust classification with Flexible Discriminant Analysis in heterogeneous data. Flexible EM-Inspired Discriminant Analysis is a robust supervised classification algorithm that performs well in noisy and contaminated datasets.
A concurrent sync tool which works with multiple sources and targets.
Concurrent Sync A concurrent sync tool which works similar to rsync. It supports syncing given sources with multiple targets concurrently. Requirement
Implementation of a Transformer using ReLA (Rectified Linear Attention)
ReLA (Rectified Linear Attention) Transformer Implementation of a Transformer using ReLA (Rectified Linear Attention). It will also contain an attempt
This repo contains the implementation of YOLOv2 in Keras with Tensorflow backend.
Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).
🙄 Difficult algorithm, Simple code.
🎉TensorFlow2.0-Examples🎉! "Talk is cheap, show me the code." ----- Linus Torvalds Created by YunYang1994 This tutorial was designed for easily divin
MLops tools review for execution on multiple cluster types: slurm, kubernetes, dask...
MLops tools review focused on execution using multiple cluster types: slurm, kubernetes, dask...
Code from Daniel Lemire, A Better Alternative to Piecewise Linear Time Series Segmentation
PiecewiseLinearTimeSeriesApproximation code from Daniel Lemire, A Better Alternative to Piecewise Linear Time Series Segmentation, SIAM Data Mining 20
Anomaly detection analysis and labeling tool, specifically for multiple time series (one time series per category)
taganomaly Anomaly detection labeling tool, specifically for multiple time series (one time series per category). Taganomaly is a tool for creating la
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection
Deep learning for time series forecasting Flow forecast is an open-source deep learning for time series forecasting framework. It provides all the lat
Survival analysis in Python
What is survival analysis and why should I learn it? Survival analysis was originally developed and applied heavily by the actuarial and medical commu
learn python in 100 days, a simple step could be follow from beginner to master of every aspect of python programming and project also include side project which you can use as demo project for your personal portfolio
learn python in 100 days, a simple step could be follow from beginner to master of every aspect of python programming and project also include side project which you can use as demo project for your personal portfolio
examify-io is an online examination system that offers automatic grading , exam statistics , proctoring and programming tests , multiple user roles
examify-io is an online examination system that offers automatic grading , exam statistics , proctoring and programming tests , multiple user roles ( Examiner , Supervisor , Student )
General Assembly's 2015 Data Science course in Washington, DC
DAT8 Course Repository Course materials for General Assembly's Data Science course in Washington, DC (8/18/15 - 10/29/15). Instructor: Kevin Markham (
Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way
HackerMath for Machine Learning “Study hard what interests you the most in the most undisciplined, irreverent and original manner possible.” ― Richard
Simple CLI interface for linear task manager
Linear CLI (Unmaintained) Simple CLI interface for linear task manager Usage Install: pip install linearcli Setup: Generate a pe
BART aids transcribe tasks by taking a source audio file and creating automatic repeated loops, allowing transcribers to listen to fragments multiple times
BART (Beyond Audio Replay Technology) aids transcribe tasks by taking a source audio file and creating automatic repeated loops, allowing transcribers to listen to fragments multiple times (with possible overlap between segments).
Creating a Linear Program Solver by Implementing the Simplex Method in Python with NumPy
Creating a Linear Program Solver by Implementing the Simplex Method in Python with NumPy Simplex Algorithm is a popular algorithm for linear programmi
Free python/telegram bot for easy execution and surveillance of crypto trading plans on multiple exchanges.
EazeBot Introduction Have you ever traded cryptocurrencies and lost overview of your planned buys/sells? Have you encountered the experience that your
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
Bayesian Neural Networks Pytorch implementations for the following approximate inference methods: Bayes by Backprop Bayes by Backprop + Local Reparame
Diff Match Patch is a high-performance library in multiple languages that manipulates plain text.
The Diff Match and Patch libraries offer robust algorithms to perform the operations required for synchronizing plain text. Diff: Compare two blocks o
LRBoost is a scikit-learn compatible approach to performing linear residual based stacking/boosting.
LRBoost is a sckit-learn compatible package for linear residual boosting. LRBoost combines a linear estimator and a non-linear estimator to leverage t
Python package for multiple object tracking research with focus on laboratory animals tracking.
motutils is a Python package for multiple object tracking research with focus on laboratory animals tracking. Features loads: MOTChallenge CSV, sleap
Tool made for the FWA Yearbook Team to resize multiple images quickly.
ImageResize Tool Tool made for the FWA Yearbook Team to resize multiple images quickly. Make sure to check this repo for future updates How to Use The
pyDuinoCoin is a simple python integration for the DuinoCoin REST API, that allows developers to communicate with DuinoCoin Master Server
PyDuinoCoin PyDuinoCoin is a simple python integration for the DuinoCoin REST API, that allows developers to communicate with DuinoCoin Main Server. I
PyTorch code for 'Efficient Single Image Super-Resolution Using Dual Path Connections with Multiple Scale Learning'
Efficient Single Image Super-Resolution Using Dual Path Connections with Multiple Scale Learning This repository is for EMSRDPN introduced in the foll
Python directory buster, multiple threads, gobuster-like CLI, web server brute-forcer, URL replace pattern feature.
pybuster v1.1 pybuster is a tool that is used to brute-force URLs of web servers. Features Directory busting (URI) URL replace patterns (put PYBUSTER
PyTorch code for 'Efficient Single Image Super-Resolution Using Dual Path Connections with Multiple Scale Learning'
Efficient Single Image Super-Resolution Using Dual Path Connections with Multiple Scale Learning This repository is for EMSRDPN introduced in the foll
Linear image-to-image translation
Linear (Un)supervised Image-to-Image Translation Examples for linear orthogonal transformations in PCA domain, learned without pairing supervision. Tr
Masked regression code - Masked Regression
Masked Regression MR - Python Implementation This repositery provides a python implementation of MR (Masked Regression). MR can efficiently synthesize
Implementation of 'X-Linear Attention Networks for Image Captioning' [CVPR 2020]
Introduction This repository is for X-Linear Attention Networks for Image Captioning (CVPR 2020). The original paper can be found here. Please cite wi
Iowa Project - My second project done at General Assembly, focused on feature engineering and understanding Linear Regression as a concept
Project 2 - Ames Housing Data and Kaggle Challenge PROBLEM STATEMENT Inferring or Predicting? What's more valuable for a housing model? When creating
[3DV 2021] Channel-Wise Attention-Based Network for Self-Supervised Monocular Depth Estimation
Channel-Wise Attention-Based Network for Self-Supervised Monocular Depth Estimation This is the official implementation for the method described in Ch
Distributed Grid Descent: an algorithm for hyperparameter tuning guided by Bayesian inference, designed to run on multiple processes and potentially many machines with no central point of control
Distributed Grid Descent: an algorithm for hyperparameter tuning guided by Bayesian inference, designed to run on multiple processes and potentially many machines with no central point of control.
TB Set color display - Add-on for Blender to set multiple objects and material Display Color at once.
TB_Set_color_display Add-on for Blender with operations to transfer name between object, data, materials and action names Set groups of object's or ma
The Master's in Data Science Program run by the Faculty of Mathematics and Information Science
The Master's in Data Science Program run by the Faculty of Mathematics and Information Science is among the first European programs in Data Science and is fully focused on data engineering and data analytics.
LinearRegression2 Tvads and CarSales
LinearRegression2_Tvads_and_CarSales This project infers the insight that how the TV ads for cars and car Sales are being linked with each other. It i
Price-Prediction-For-a-Dream-Home - A machine learning based linear regression trained model for house price prediction.
Price-Prediction-For-a-Dream-Home ROADMAP TO THIS LINEAR REGRESSION BASED HOUSE PRICE PREDICTION PREDICTION MODEL Import all the dependencies of the p
Image-popularity-score - A novel deep regression method for image scoring.
Image-popularity-score - A novel deep regression method for image scoring.
Constrained Logistic Regression - How to apply specific constraints to logistic regression's coefficients
Constrained Logistic Regression Sample implementation of constructing a logistic regression with given ranges on each of the feature's coefficients (v
Flask app to predict daily radiation from the time series of Solcast from Islamabad, Pakistan
Solar-radiation-ISB-MLOps - Flask app to predict daily radiation from the time series of Solcast from Islamabad, Pakistan.
Minecraft-Bedrock-Modpack-Maker - Simple tool to combine multiple addons into one. Not finished
Minecraft-Bedrock-Modpack-Maker Simple tool to combine multiple addons into one. Not finished! Any contributing is welcome. How to use: Move all .mcpa
Face_mosaic - Mosaic blur processing is applied to multiple faces appearing in the video
動機 face_recognitionを使用して得られる顔座標は長方形であり、この座標をそのまま用いてぼかし処理を行った場合得られる画像は醜い。 それに対してモ
A minimal implementation of Gaussian process regression in PyTorch
pytorch-minimal-gaussian-process In search of truth, simplicity is needed. There exist heavy-weighted libraries, but as you know, we need to go bare b
Code that accompanies the paper Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance
Semi-supervised Deep Kernel Learning This is the code that accompanies the paper Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data
Multiple GNOME terminals in one window
Terminator by Chris Jones [email protected] and others. Description Terminator was originally developed by Chris Jones in 2007 as a simple, 300-ish line
Scalable and Elastic Deep Reinforcement Learning Using PyTorch. Please star. 🔥
ElegantRL “小雅”: Scalable and Elastic Deep Reinforcement Learning ElegantRL is developed for researchers and practitioners with the following advantage
Slice a single image into multiple pieces and create a dataset from them
OpenCV Image to Dataset Converter Slice a single image of Persian digits into mu
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
Terraform wrapper to manage state across multiple cloud providers(AWS, GCP, and Azure)
Terraform Remote State Manager(tfremote) tf is a python package for managing terraform remote state for: Google(Gcloud), AWS, and Azure. It sets a def
Bot for mirroring one or multiple Twitter accounts in Pleroma/Mastodon.
Stork (pleroma-bot) Mirror one or multiple Twitter accounts in Pleroma/Mastodon. Introduction After using the pretty cool mastodon-bot for a while, I
A Python Package for Convex Regression and Frontier Estimation
pyStoNED pyStoNED is a Python package that provides functions for estimating multivariate convex regression, convex quantile regression, convex expect
Python script that analyses the given datasets and comes up with the best polynomial regression representation with the smallest polynomial degree possible
Python script that analyses the given datasets and comes up with the best polynomial regression representation with the smallest polynomial degree possible, to be the most reliable with the least complexity possible
Rofi script to minimize / unminimize multiple windows in qtile
Qminimize Rofi script to minimize / unminimize multiple windows in qtile Additional requirements : EWMH module fuzzywuzzy module How to use it : - Clo
Evaluating AlexNet features at various depths
Linear Separability Evaluation This repo provides the scripts to test a learned AlexNet's feature representation performance at the five different con
Using multiple API sources, create an app that allows users to filter through random locations based on their temperature range choices.
World_weather_analysis Overview Using multiple API sources, create an app that allows users to filter through random locations based on their temperat
OpenAI CLIP text encoders for multiple languages!
Multilingual-CLIP OpenAI CLIP text encoders for any language Colab Notebook · Pre-trained Models · Report Bug Overview OpenAI recently released the pa
Using Bayesian, KNN, Logistic Regression to classify spam and non-spam.
Make Sure the dataset file "spamData.mat" is in the folder spam\src Environment: Python --version = 3.7 Third Party: numpy, matplotlib, math, scipy
Attention for PyTorch with Linear Memory Footprint
Attention for PyTorch with Linear Memory Footprint Unofficially implements https://arxiv.org/abs/2112.05682 to get Linear Memory Cost on Attention (+
PyTorch implementation of Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation.
ALiBi PyTorch implementation of Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation. Quickstart Clone this reposit
Data Model built using Logistic Regression Algorithm on Python.
Logistic-Regression Problem Statement: Your client is a retail banking institution. Term deposits are a major source of income for a bank. A term depo
Implementation of Forwards Kinematics, Inverse Kinematics, Point to Point Movement and Synchronous movement for Kuka KR 120 R2700-2.
I made this project for my university course in robotics. I rarely found any information regarding the implementation of mathematics in code. So I decided to make this repo in order to help others :) I got these methods checked by my tutor but feel free to connect if something needs to be changed.
Run python scripts and pass data between multiple python and node processes using this npm module
Run python scripts and pass data between multiple python and node processes using this npm module. process-communication has a event based architecture for interacting with python data and errors inside nodejs.
An open-source systems and controls toolbox for Python3
harold A control systems package for Python=3.6. Introduction This package is written with the ambition of providing a full-fledged control systems s
PatZilla is a modular patent information research platform and data integration toolkit with a modern user interface and access to multiple data sources.
PatZilla is a modular patent information research platform and data integration toolkit with a modern user interface and access to multiple data sources.
A python library for parsing multiple types of config files, envvars & command line arguments that takes the headache out of setting app configurations.
parse_it A python library for parsing multiple types of config files, envvars and command line arguments that takes the headache out of setting app co
Implemented four supervised learning Machine Learning algorithms
Implemented four supervised learning Machine Learning algorithms from an algorithmic family called Classification and Regression Trees (CARTs), details see README_Report.
SEOVER: Sentence-level Emotion Orientation Vector based Conversation Emotion Recognition Model
SEOVER-Master This code is the implementation of paper: SEOVER: Sentence-level Emotion Orientation Vector based Conversation Emotion Recognition Model
Send Multiple Mail From List With Python
Send Multiple Mail From List With Python You can send multiple e-mail using HTML themes with Python. Here is the e-mail information to be sent. #The m
Decision Tree Regression algorithm implemented on Python from scratch.
Decision_Tree_Regression I implemented the decision tree regression algorithm on Python. Unlike regular linear regression, this algorithm is used when
Touca SDK for Python
Touca SDK For Python Touca helps you understand the true impact of your day to day code changes on the behavior and performance of your overall softwa
TLaunch: Launch Programs on Multiple Hosts
TLaunch: Launch Programs on Multiple Hosts Introduction Deepmind launchpad is a library that helps writing distributed program in a simple way. But cu
Quick tutorial on orchest.io that shows how to build multiple deep learning models on your data with a single line of code using python
Deep AutoViML Pipeline for orchest.io Quickstart Build Deep Learning models with a single line of code: deep_autoviml Deep AutoViML helps you build te
Implementation of the ALPHAMEPOL algorithm, presented in Unsupervised Reinforcement Learning in Multiple Environments.
ALPHAMEPOL This repository contains the implementation of the ALPHAMEPOL algorithm, presented in Unsupervised Reinforcement Learning in Multiple Envir
Lightweight utility tools for the detection of multiple spellings, meanings, and language-specific terminology in British and American English
Breame ( British English and American English) Breame is a lightweight Python package with a number of utility tools to aid in the detection of words
Build documentation in multiple repos into one site.
mkdocs-multirepo-plugin Build documentation in multiple repos into one site. Setup Install plugin using pip: pip install git+https://github.com/jdoiro
Python script to combine the statistical results of a TOPAS simulation that was split up into multiple batches.
topas-merge-simulations Python script to combine the statistical results of a TOPAS simulation that was split up into multiple batches At the top of t
Materials (slides, code, assignments) for the NYU class I teach on NLP and ML Systems (Master of Engineering).
FREE_7773 Repo containing material for the NYU class (Master of Engineering) I teach on NLP, ML Sys etc. For context on what the class is trying to ac
The aim is to contain multiple models for materials discovery under a common interface
Aviary The aviary contains: - roost, - wren, cgcnn. The aim is to contain multiple models for materials discovery under a common interface Environment
A study project using the AA-RMVSNet to reconstruct buildings from multiple images
3d-building-reconstruction This is part of a study project using the AA-RMVSNet to reconstruct buildings from multiple images. Introduction It is exci
A web application (with multiple API project options) that uses MariaDB HTAP!
Bookings Bookings is a web application that, backed by the power of the MariaDB Connectors and the MariaDB X4 Platform, unleashes the power of smart t
A module grouping multiple translation APIs
translatepy (originally: translate) An aggregation of multiple translation API Translate, transliterate, get the language of texts in no time with the
WBMS automates sending of message to multiple numbers via WhatsApp Web
WhatsApp Bulk Message Sender - WBMS WBMS automates sending of message to multiple numbers via WhatsApp Web. Report Bug · Request Feature Love the proj
A python program to download one or multiple videos from YouTube.
YouTube-Video-Downloader A python program to download one or multiple videos from YouTube. Quick Start guide First Clone The Project git clone https:/
Code for TIP 2017 paper --- Illumination Decomposition for Photograph with Multiple Light Sources.
Illumination_Decomposition Code for TIP 2017 paper --- Illumination Decomposition for Photograph with Multiple Light Sources. This code implements the
AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.
AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.
An extensive password manager built using Python, multiple implementations. Something to meet everyone's taste.
An awesome open-sourced password manager! Explore the docs » View Demo · Report Bug · Request Feature 🐍 Python Password Manager 🔐 An extensive passw
Flask Multiple Database Login
Flask Multiple Database Login Handle login with flask using two diferent databases: UE | European; BR | Brazilian; These databases are separed to resp
Reproducing the Linear Multihead Attention introduced in Linformer paper (Linformer: Self-Attention with Linear Complexity)
Linear Multihead Attention (Linformer) PyTorch Implementation of reproducing the Linear Multihead Attention introduced in Linformer paper (Linformer:
Code voor mijn Master project omtrent VideoBERT
Code voor masterproef Deze repository bevat de code voor het project van mijn masterproef omtrent VideoBERT. De code in deze repository is gebaseerd o
A linear stairs generation add-on for Blender
Linear Stairs Generator Table of Contents Installation Usage Screenshots Important Notes Requirements Blender 3.0 or newer. Installation: Download a z
DANet for Tabular data classification/ regression.
Deep Abstract Networks A pyTorch implementation for AAAI-2022 paper DANets: Deep Abstract Networks for Tabular Data Classification and Regression. Bri