Python Distribution-system-model-calibration Resources

Product-based-recommendation-system A product based recommendation system which

Digitalizing-Prescription-Image PIRDS - Prescription Image Recognition and Digit

🦾 Automation of NU Health Management System 🤖 長崎大学 健康管理システムの自動化 🏯 Usage / 使い方

Lightweight (Bayesian) Media Mix Model This is not an official Google product. L

"# SUPERVISED-CONTRASTIVE-LEARNING-FOR-PRE-TRAINED-LANGUAGE-MODEL-FINE-TUNING" i

Lottery Purchase Prediction Model Objective and Goal Predict the lottery type th

BED: A Real-Time Object Detection System for Edge Devices About this project Thi

-Python-DNS-Lookup- ✨ 🌟 Python DNS Lookup ✨ 🌟 The Domain Name System (DNS) is

OpenDelta is a toolkit for parameter efficient methods (we dub it as delta tuning), by which users could flexibly assign (or add) a small amount parameters to update while keeping the most paramters frozen. By using OpenDelta, users could easily implement prefix-tuning, adapters, Lora, or any other types of delta tuning with preferred PTMs.

torque_model The torque model is a spiritual successor to op-smart-torque, which was a project to train a neural network to control a car's steering f

LRM-Squannacook Input data for generating stochastic streamflows are observed and simulated timeseries of streamflow. their format needs to be CSV wit

Over-the-Air Ensemble Inference with Model Privacy This repository contains simulations for our private ensemble inference method. Installation Instal

Breast-Cancer-Detection Breast cancer is the most frequent cancer among women, with around one in every 19 women at risk. The number of cases of breas

Python scripts for performing monocular depth estimation using the PackNet-SfM model in ONNX

Brain-Tumor-Detection Building a detection model using a convolutional neural network in Tensorflow & Keras. Used brain MRI images. InceptionResNetV2

3DSimpleTurntable 3D Model files and source code for rotating turntable. Raspberry Pi, DC servo and PWM modulator required. Preview Construction Print

Cormen Lib Sample Problems Description This repository contnains sample problems with test cases using Cormen-Lib. These problems were made for the pu

An example module hooking system, will be used in PySAMP.

Learned NDV estimator Learned model to estimate number of distinct values (NDV) of a population using a small sample. The model approximates the maxim

RerrFact This repository contains the code for: RerrFact model for SciVer shared task. Setup for Inference 1. Download SciFact database Download the S

Python implementation of NARS (Non-Axiomatic-Reasoning-System)

A GUI based CRUD database management system built using mysql and python

💿 Sistema de Gerenciamento de Usuário (SGU) 📚 Sobre o projeto Sistema de gerenciamento de usuários (SGU), tem o objetivo primário de se conectar a u

Optical_Character_Recognition An Optical Character Recognition system using Pytesseract/Extracting data from Blood Pressure Reports. As an IOT/Compute

Student-Result-Management-System This Student Result Management System Project in tkinter created based on python, tkinter, and SQLITE3 Database. The

A visual indicator of what environment/system you're using in django

TopClus The source code used for Topic Discovery via Latent Space Clustering of Pretrained Language Model Representations, published in WWW 2022. Requ

We developed a method animating a statistical 3D human model for biomechanical analysis to increase accessibility for non-experts, like patients, athletes, or designers.

BROS (BERT Relying On Spatiality) is a pre-trained language model focusing on text and layout for better key information extraction from documents. Given the OCR results of the document image, which are text and bounding box pairs, it can perform various key information extraction tasks, such as extracting an ordered item list from receipts

PyTorch NeRF and pixelNeRF NeRF: Tiny NeRF: pixelNeRF: This repository contains minimal PyTorch implementations of the NeRF model described in "NeRF:

Price Prediction model is used to develop an LSTM model to predict the future market price of Bitcoin and Ethereum.

PyTorch Implementation of the SuRP algorithm by the authors of the AISTATS 2022 paper "An Information-Theoretic Justification for Model Pruning".

Cement-Strength-Prediction Problem Statement To build a regression model to predict the concrete compressive strength based on the different features

Energy_Output_Predictor Artificial Neural network regression model to predict the energy output in a combined cycle power plant. Abstract Energy outpu

Automates much of the process of moving translations from the old Multilingual external module to the newer built-in Multi-Language Management (MLM) page.

Vulnerability assessment for CVE-2022-22536 This repository contains a Python script that can be used to check if a SAP system is affected by CVE-2022

This repository provides a custom DeepStack model that has been trained detecting ONLY the USPS logo. This was created after I discovered that the Deepstack OpenLogo custom model I was using did not contain USPS.

Rank-One Model Editing (ROME) This repository provides an implementation of Rank-One Model Editing (ROME) on auto-regressive transformers (GPU-only).

Setup process Creates a virtual environment (Scripts that ensure executed Python code uses the Python interpreter and site packages installed inside t

ExORL: Exploratory Data for Offline Reinforcement Learning This is an original PyTorch implementation of the ExORL framework from Don't Change the Alg

email_sending An email sending system with random confirmation code. Description Confirmation emails are sent based on the list of email addresses. Ea

A fun discord bot for music, mini games, admin controls, economy, ai chatbot and levelling system. This bot was specially made for Dspark discord server.

CBO’s CapTax Model CBO uses its Capital Tax model (CBO-CapTax) to estimate the effects of federal taxes on capital income from new investment. Specifi

SuperGen The source code for Generating Training Data with Language Models: Towards Zero-Shot Language Understanding. Requirements Before running, you

major-system-converter Set of scripts & tools for converting between numbers and major system encoded words. Uses phonetics instead of letters to conv

Simple local RPG turn-based to play while learn something using the anki system

⏱ pytorch-benchmark Easily benchmark model inference FLOPs, latency, throughput, max allocated memory and energy consumption Install pip install pytor

LabelImg LabelImg is a graphical image annotation tool. It is written in Python and uses Qt for its graphical interface. Annotations are saved as XML

Doubly Robust Off-Policy Evaluation for Ranking Policies under the Cascade Behavior Model About This repository contains the code to replicate the syn

Multi Camera Calibration 'modules/camera_calibration/app/camera_calibration.cpp' is for calculating extrinsic parameter of each individual cameras. 'm

Pruner for nested cross-validation - Sphinx-Doc Nested cross-validation is necessary to avoid biased model performance in embedded feature selection i

Learning-based Camera Calibration A Learning-based Camera Calibration Toolbox Paper The pdf file can be found here. @misc{zhang2022learningbased,

HCSC: Hierarchical Contrastive Selective Coding This repository provides a PyTorch implementation and model weights for HCSC (Hierarchical Contrastive

SentiMent Analysis In this project I built a model to classify movie reviews fromn the IMDB dataset of 50K reviews. WordtoVec : Neural networks only w

PointTracking This code is written by Majid Masoumi @ [email protected] I have used lucas kanade optical flow technique to track the points b

Convert Pytorch model to onnx or tflite, and the converted model can be visualized by Netron

Recommender systems are the systems that are designed to recommend things to the user based on many different factors. The recommender system deals with a large volume of information present by filtering the most important information based on the data provided by a user and other factors that take care of the user’s preference and interest.

ok-system-helper ok-system-helper是一个简单的系统硬件的实时信息收集工具，使用python3.x开发，支持哪些硬件：CPU、内存、SWAP、磁盘、网卡流量。用户可在自己的项目中直接引入、开箱即用，或者结合flask等web框架轻松做成http接口供前端调用，亦可通过注

Emotion-Detection Job Assignment System by Real-time Emotion Detection Emotion is the essential role of facial expression and it could provide a lot o

To create a deep learning model which can explain the content of an image in the form of speech through caption generation with attention mechanism on Flickr8K dataset.

A state estimator for power system. Turbocharged with sparse matrix support, JIT, SIMD and improved ordering.

This repository contains the official PyTorch implementation of the "CRF-RNN" semantic image segmentation method, published in the ICCV 2015

Python inverse kinematics for your robot model based on Pinocchio.

IMLE-Net: An Interpretable Multi-level Multi-channel Model for ECG Classification The repostiory consists of the code, results and data set links for

This machine learning model was developed for House Prices - Advanced Regression Techniques competition in Kaggle by using several machine learning models such as Random Forest, XGBoost and LightGBM.

A micro-service that can be extended to help in monitoring systems. Be extensible to be incorporated in any of the systems to facilitate timely interventions.

R-YOLOv4 This is a PyTorch-based R-YOLOv4 implementation which combines YOLOv4 model and loss function from R3Det for arbitrary oriented object detect

ONNX-GLPDepth - Python scripts for performing monocular depth estimation using the GLPDepth model in ONNX

Advanced school management system written in Django :) ⚙️ Config the project First you should make venv for this project. So in the main root of proje

Anomaly-detection-Feature-Selection Evaluate on three different ML model for feature selection using Breast cancer data. ML models: SVM, KNN and MLP.

Breast cancer is been classified into benign tumour and malignant tumour. Logistic regression is applied in this model.

Breast Cancer Classification Model is applied on a different dataset

VOODOO Revealing supercooled liquid beyond lidar attenuation Explore the docs » Report Bug · Request Feature Table of Contents About The Project Built

This project is based on cloud services to create data lake, ETL process, train and deploy learning model to implement a recommendation system.

PythonVCS API wrapper for VCS hosting system. Supported platforms Gitea Github, Gitlab, Bitbucket support will not, until that packages is not updated

Juniper Command System is a Micro CLI Tool that allows you to manage your files, launch applications, as well as providing extra tools for OS Management.

Having a weak password is not good for a system that demands high confidentiality and security of user credentials. It turns out that people find it difficult to make up a strong password that is strong enough to prevent unauthorized users from memorizing it.

News-Recommendation-system-using-Bert4Rec-model Bert4rec for news Recommendation

This project builds a LoRa radio frequency fingerprint identification (RFFI) system based on deep learning techiniques.

Deep learning based model for Cyro ET Sub-tomogram-Detection High degree of stru

This is a model made out of Neural Network specifically a Convolutional Neural Network model. This was done with a pre-built dataset from the tensorflow and keras packages. There are other alternative libraries that can be used for this purpose, one of which is the PyTorch library.

SUMO - Slim U-Net trained on MODA Implementation of the SUMO (Slim U-Net trained on MODA) model as described in: TODO: add reference to paper once ava

This project proposes a camera vision based cursor control system, using hand moment captured from a webcam through a landmarks of hand by using Mideapipe module

Training-a-deep-learning-model-on-the-noisy-CIFAR-dataset This repository contai

CovidcasePrediction A machine learning model for Covid case prediction Problem Statement Using regression algorithms we can able to track the active c

GraphNLI: A Graph-based Natural Language Inference Model for Polarity Prediction in Online Debates Vibhor Agarwal, Sagar Joglekar, Anthony P. Young an

Parking-management-system Parking management project which generates barcode parking ticket with user-friendly Tkinter program GUI How to run Download

bct_file_generator_for_EasyGSH The aim is to extract timeseries water level 2D information for any designed boundaries within the EasyGSH model domain

This repository contains the raw dataset used in NHNet [1] for the task of News Story Headline Generation. The code of data processing and training is available under Tensorflow Models - NHNet.

Used for data processing in machine learning, and help us to construct ML model more easily from scratch. Can be used in linear model, logistic regression model, and decision tree.

This repository contains code that gets data regarding financial disclosures from the Court Listener API main.py: contains driver code that interacts

An Intermediate Level Python - MySQL Connectivity based project. Contains various functions of a Store-Management-System.

Contrastive Learning for Neural Topic Model This repository contains the impleme

A Microsoft Azure Web App project named Covid 19 Predictor using Machine learning Model (Random Forest Classifier Model ) that helps the user to identify whether someone is showing positive Covid symptoms or not by simply inputting certain values like oxygen level , breath rate , age, Vaccination done or not etc. with the help of kaggle database.

The Sue Gray Alert System was a 5 minute project that just beeps every time a new article is updated or published on Gov.UK's news pages.

Mortgage-Application-Analysis Create a machine learning model which will predict if the mortgage will be approved or not based on 5 variables: age, in

Garbage Detection using Yolov5 on Jetson Nano 2gb Developer Kit. Garbage detection system which will detect objects based on whether it is plastic was

Low-resource-Machine-Translation This repository contains the code for the project relative to the course Deep Natural Language Processing. The goal o

NLP - Movie review sentiment analysis The colab notebook contains the code for building a LSTM Recurrent Neural Network that gives 87-88% accuracy on

Jarvis_voiceAssistance This is a working model for which I have used python. This model can: 1)Play a video or song on youtube. 2)Tell us time. 3)Tell