1960 Repositories
Python serverless-application-model Libraries
Price Prediction model is used to develop an LSTM model to predict the future market price of Bitcoin and Ethereum.
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"
PyTorch Implementation of the SuRP algorithm by the authors of the AISTATS 2022 paper "An Information-Theoretic Justification for Model Pruning".
To build a regression model to predict the concrete compressive strength based on the different features in the training data.
Cement-Strength-Prediction Problem Statement To build a regression model to predict the concrete compressive strength based on the different features
Artificial Neural network regression model to predict the energy output in a combined cycle power plant.
Energy_Output_Predictor Artificial Neural network regression model to predict the energy output in a combined cycle power plant. Abstract Energy outpu
QR code python application which can read(decode) and generate(encode) QR codes.
QR Code Application This is a basic QR Code application. Using this application you can generate QR code for you text/links. Using this application yo
A Student/ School management application built using Django and Python.
Student Management An awesome student management app built using Django.! Explore the docs » View Demo · Report Bug · Request Feature Table of Content
A custom DeepStack model that has been trained detecting ONLY the USPS logo
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 for Locating and Editing Factual Knowledge in GPT
Rank-One Model Editing (ROME) This repository provides an implementation of Rank-One Model Editing (ROME) on auto-regressive transformers (GPU-only).
Vertex AI: Serverless framework for MLOPs (ESP / ENG)
Vertex AI: Serverless framework for MLOPs (ESP / ENG) Español Qué es esto? Este repo contiene un pipeline end to end diseñado usando el SDK de Kubeflo
License Plate Detection Application
LicensePlate_Project 🚗 🚙 [Project] 2021.02 ~ 2021.09 License Plate Detection Application Overview 1. 데이터 수집 및 라벨링 차량 번호판 이미지를 직접 수집하여 각 이미지에 대해 '번호판
PyTorch implementation of the ExORL: Exploratory Data for Offline Reinforcement Learning
ExORL: Exploratory Data for Offline Reinforcement Learning This is an original PyTorch implementation of the ExORL framework from Don't Change the Alg
Wordle Tas Tool is a terminal application for solving Wordle puzzles
Wordle Tas Tool Terminal application for solving Wordle puzzles Wordle Tas Tool (WTT) is a Python script that iterates over SCOWL95 to solve Wordle pu
CBO uses its Capital Tax model (CBO-CapTax) to estimate the effects of federal taxes on capital income from new investment
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
Wordle is a word game reminiscent of mastermind
Wordle is a word game reminiscent of mastermind. The player tries to guess a five letter word within six attempts. After each attempt, hints are given. Green tiles show that the letter is in the right position.
The source code for Generating Training Data with Language Models: Towards Zero-Shot Language Understanding.
SuperGen The source code for Generating Training Data with Language Models: Towards Zero-Shot Language Understanding. Requirements Before running, you
The proliferation of disinformation across social media has led the application of deep learning techniques to detect fake news.
Fake News Detection Overview The proliferation of disinformation across social media has led the application of deep learning techniques to detect fak
Flask Application Structure with MongoDB
This application aims to serve as a template for APIs that intend to use mongoengine and flask-restx
Easily benchmark PyTorch model FLOPs, latency, throughput, max allocated memory and energy consumption
⏱ pytorch-benchmark Easily benchmark model inference FLOPs, latency, throughput, max allocated memory and energy consumption Install pip install pytor
Customised to detect objects automatically by a given model file(onnx)
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
Doubly Robust Off-Policy Evaluation for Ranking Policies under the Cascade Behavior Model About This repository contains the code to replicate the syn
Nested cross-validation is necessary to avoid biased model performance in embedded feature selection in high-dimensional data with tiny sample sizes
Pruner for nested cross-validation - Sphinx-Doc Nested cross-validation is necessary to avoid biased model performance in embedded feature selection i
This repository provides a PyTorch implementation and model weights for HCSC (Hierarchical Contrastive Selective Coding)
HCSC: Hierarchical Contrastive Selective Coding This repository provides a PyTorch implementation and model weights for HCSC (Hierarchical Contrastive
A model which classifies reviews as positive or negative.
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
Mini is a web browser application based on the Python PyQt web engine, made in 290 lines of code.
Mini Mini is a web browser application based on the Python PyQt web engine, made in 290 lines of code. The code is written and published as is, so the
Convert Pytorch model to onnx or tflite, and the converted model can be visualized by Netron
Convert Pytorch model to onnx or tflite, and the converted model can be visualized by Netron
This is a basic Todo Application API using Django Rest Framework
Todo Application This is a basic Todo Application API using Django Rest Framework. Todo Section - User can View his previously added todo items, creat
A python script to decrypt media files encrypted using the Android application 'Decrypting 'LOCKED Secret Calculator Vault''. Will identify PIN / pattern.
A python script to decrypt media files encrypted using the Android application 'Decrypting 'LOCKED Secret Calculator Vault''. Will identify PIN / pattern.
Official code for paper "ISNet: Costless and Implicit Image Segmentation for Deep Classifiers, with Application in COVID-19 Detection"
Official code for paper "ISNet: Costless and Implicit Image Segmentation for Deep Classifiers, with Application in COVID-19 Detection". LRPDenseNet.py
Django-powered application about blockchain (bitcoin)
Django-powered application about blockchain (bitcoin)
OneDriveExplorer - A command line and GUI based application for reconstructing the folder structure of OneDrive from the UserCid.dat file
OneDriveExplorer - A command line and GUI based application for reconstructing the folder structure of OneDrive from the UserCid.dat file
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.
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.
Send notifications created in Frappe or ERPNext as push notication via Firebase Cloud Message(FCM)
FCM Notification for ERPNext Send notifications created in Frappe or ERPNext as push notication via Firebase Cloud Message(FCM) Steps to use the app:
CRF-RNN for Semantic Image Segmentation - PyTorch version
This repository contains the official PyTorch implementation of the "CRF-RNN" semantic image segmentation method, published in the ICCV 2015
Stream-Cli application that allow you to play your favorite movies from the terminal
Stream-Cli application that allow you to play your favorite movies from the terminal
Python inverse kinematics for your robot model based on Pinocchio.
Python inverse kinematics for your robot model based on Pinocchio.
An implementation of IMLE-Net: An Interpretable Multi-level Multi-channel Model for ECG Classification
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
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 basic template for Creating Odoo Module
Odoo ERP Boilerplate A basic template for Creating Odoo Module. Folders inside this repository consist of snippet code and a module example. Folders w
Application to help find best train itinerary, uses speech to text, has a spam filter to segregate invalid inputs, NLP and Pathfinding algos.
T-IAI-901-MSC2022 - GROUP 18 Gestion de projet Notre travail a été organisé et réparti dans un Trello. https://trello.com/b/X3s2fpPJ/ia-projet Install
This application solves sudoku puzzles using a backtracking recursive algorithm
This application solves sudoku puzzles using a backtracking recursive algorithm. The user interface is coded with Pygame to allow users to easily input puzzles.
A PyTorch-based R-YOLOv4 implementation which combines YOLOv4 model and loss function from R3Det for arbitrary oriented object detection.
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
ONNX-GLPDepth - Python scripts for performing monocular depth estimation using the GLPDepth model in ONNX
OneDriveExplorer - A command line and GUI based application for reconstructing the folder strucure of OneDrive from the UserCid.dat file
OneDriveExplorer - A command line and GUI based application for reconstructing the folder strucure of OneDrive from the UserCid.dat file
Weather Image Recognition - Python weather application using series of data
Weather Image Recognition - Python weather application using series of data
A python script to extract information from a Microsoft Remote Desktop Web Access (RDWA) application
This python script allow to extract various information from a Microsoft Remote Desktop Web Access (RDWA) application, such as the FQDN of the remote server, the internal AD domain name (from the FQDN), and the remote Windows Server version
Evaluate on three different ML model for feature selection using Breast cancer data.
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.
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
Breast Cancer Classification Model is applied on a different dataset
ANN model for prediction a spatio-temporal distribution of supercooled liquid in mixed-phase clouds using Doppler cloud radar spectra.
VOODOO Revealing supercooled liquid beyond lidar attenuation Explore the docs » Report Bug · Request Feature Table of Contents About The Project Built
Password-Manager - A Password Manager application made using Python. You can use this python application to store and to see the stored passwords
Password Manager 🔑 This is a Password Manager Application which is made using P
Tarstats - A simple Python commandline application that collects statistics about tarfiles
A simple Python commandline application that collects statistics about tarfiles.
Bert4rec for news Recommendation
News-Recommendation-system-using-Bert4Rec-model Bert4rec for news Recommendation
Sub-tomogram-Detection - Deep learning based model for Cyro ET Sub-tomogram-Detection
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 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.
Projecting interval uncertainty through the discrete Fourier transform
Projecting interval uncertainty through the discrete Fourier transform This repo
Flashcards - A flash card application with 2 optional command line arguments
Flashcards A flash card application with 2 optional command line arguments impor
Implementation of the SUMO (Slim U-Net trained on MODA) model
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
AWS-serverless-starter - AWS Lambda serverless stack via Serverless framework
Serverless app via AWS Lambda, ApiGateway and Serverless framework Configuration
A python script providing an idea of how a MindSphere application, e.g., a dashboard, can be displayed around the clock without the need of manual re-authentication on enforced session expiration
A python script providing an idea of how a MindSphere application, e.g., a dashboard, can be displayed around the clock without the need of manual re-authentication on enforced session expiration
Django-Kubernetes - Learn how to deploy a docker-based Django application into a Kubernetes cluster into production on DigitalOcean
Django & Kubernetes Learn how to deploy a production-ready Django application in
AttractionFinder - 2022 State Qualified FBLA Attraction Finder Application
Attraction Finder Developers: Riyon Praveen, Aaron Bijoy, & Yash Vora How It Wor
Training a deep learning model on the noisy CIFAR dataset
Training-a-deep-learning-model-on-the-noisy-CIFAR-dataset This repository contai
A machine learning model for Covid case prediction
CovidcasePrediction A machine learning model for Covid case prediction Problem Statement Using regression algorithms we can able to track the active c
Open Source application for downloading and playing music.
Musifre Greetings For HackHeist(Wartex) Judges: Synopsis, Promotion Video & Product Functioning Video are present in Documentation Folder. A Star woul
GraphNLI: A Graph-based Natural Language Inference Model for Polarity Prediction in Online Debates
GraphNLI: A Graph-based Natural Language Inference Model for Polarity Prediction in Online Debates Vibhor Agarwal, Sagar Joglekar, Anthony P. Young an
A server hosts a FastAPI application and multiple clients can be connected to it via SocketIO.
FastAPI_and_SocketIO A server hosts a FastAPI application and multiple clients can be connected to it via SocketIO. Executing server.py sets up the se
The aim is to extract timeseries water level 2D information for any designed boundaries within the EasyGSH model domain
bct_file_generator_for_EasyGSH The aim is to extract timeseries water level 2D information for any designed boundaries within the EasyGSH model domain
The NewSHead dataset is a multi-doc headline dataset used in NHNet for training a headline summarization model.
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.
A python script to decrypt media files encrypted using the Android application 'Secret Calculator Photo Vault'. Supports brute force of PIN also.
A python script to decrypt media files encrypted using the Android application 'Secret Calculator Photo Vault'. Supports brute force of PIN also.
camKapture is an open source application that allows users to access their webcam device and take pictures or create videos.
camKapture is an open source application that allows users to access their webcam device and take pictures or create videos.
Used for data processing in machine learning, and help us to construct ML model more easily from scratch
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.
A Login/Registration GUI Application with SQLite database for manipulating data.
Login-Register_Tk A Login/Registration GUI Application with SQLite database for manipulating data. What is this program? This program is a GUI applica
A powerful application to automatically deploy GitHub Release.
A powerful application to automatically deploy GitHub Release.
CLNTM - Contrastive Learning for Neural Topic Model
Contrastive Learning for Neural Topic Model This repository contains the impleme
TinyApp - A Python (Django) Full Stack Application for shortening URLs
TinyApp A Python (Django) Full Stack Application for shortening URLs. How to sta
A Microsoft Azure Web App project named Covid 19 Predictor using Machine learning Model
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.
Kube OpenID Connect is an application that can be used to easily enable authentication flows via OIDC for a kubernetes cluster
Kube OpenID Connect is an application that can be used to easily enable authentication flows via OIDC for a kubernetes cluster. Kubernetes supports OpenID Connect Tokens as a way to identify users who access the cluster. Kube OpenID Connect helps users with it's plugin to authenticate an get kubectl config.
Create a machine learning model which will predict if the mortgage will be approved or not based on 5 variables
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
It is a movie recommender web application which is developed using the Python.
Movie Recommendation 🍿 System Watch Tutorial for this project Source IMDB Movie 5000 Dataset Inspired from this original repository. Features Simple
Multilingual finetuning of Machine Translation model on low-resource languages. Project for Deep Natural Language Processing course.
Low-resource-Machine-Translation This repository contains the code for the project relative to the course Deep Natural Language Processing. The goal o
LSTM model - IMDB review sentiment analysis
NLP - Movie review sentiment analysis The colab notebook contains the code for building a LSTM Recurrent Neural Network that gives 87-88% accuracy on
This is a working model for which I have used python.
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
Create an application to visualize single/multiple Xandar Kardian people counting sensors detection result for a indoor area.
Program Design Purpose: We want to create an application to visualize single/multiple Xandar Kardian people counting sensors detection result for a indoor area.
spaCy-wrap: For Wrapping fine-tuned transformers in spaCy pipelines
spaCy-wrap: For Wrapping fine-tuned transformers in spaCy pipelines spaCy-wrap is minimal library intended for wrapping fine-tuned transformers from t
A simple web application built using python flask. It can be used to scan SMEVai accounts for broken pages.
smescan A simple web application built using python flask. It can be used to scan SMEVai accounts for broken pages. Development Process Step 0: Clone
Underwater industrial application yolov5m6
This project wins the intelligent algorithm contest finalist award and stands out from over 2000teams in China Underwater Robot Professional Contest, entering the final of China Underwater Robot Professional Contest and ranking 13 out of 31 teams in finals.
Driver Analysis with Factors and Forests: An Automated Data Science Tool using Python
Driver Analysis with Factors and Forests: An Automated Data Science Tool using Python 📊
The Snoopy boilerplate in flask framework for development enterprise application.
Snoopy What is snoopy! The "Snoopy" boilerplate in flask framework for development enterprise application. Motivation In my 10 years of development ex
In this workshop we will be exploring NLP state of the art transformers, with SOTA models like T5 and BERT, then build a model using HugginFace transformers framework.
Transformers are all you need In this workshop we will be exploring NLP state of the art transformers, with SOTA models like T5 and BERT, then build a
The MLOps is the process of continuous integration and continuous delivery of Machine Learning artifacts as a software product, keeping it inside a loop of Design, Model Development and Operations.
MLOps The MLOps is the process of continuous integration and continuous delivery of Machine Learning artifacts as a software product, keeping it insid
RuCLIP-SB (Russian Contrastive Language–Image Pretraining SWIN-BERT) is a multimodal model for obtaining images and text similarities and rearranging captions and pictures. Unlike other versions of the model we use BERT for text encoder and SWIN transformer for image encoder.
ruCLIP-SB RuCLIP-SB (Russian Contrastive Language–Image Pretraining SWIN-BERT) is a multimodal model for obtaining images and text similarities and re
This repository contains code accompanying the paper "An End-to-End Chinese Text Normalization Model based on Rule-Guided Flat-Lattice Transformer"
FlatTN This repository contains code accompanying the paper "An End-to-End Chinese Text Normalization Model based on Rule-Guided Flat-Lattice Transfor
SPLADE: Sparse Lexical and Expansion Model for First Stage Ranking
SPLADE 🍴 + 🥄 = 🔎 This repository contains the weights for four models as well as the code for running inference for our two papers: [v1]: SPLADE: S
Hand gesture recognition model that can be used as a remote control for a smart tv.
Gesture_recognition The training data consists of a few hundred videos categorised into one of the five classes. Each video (typically 2-3 seconds lon
Heart Arrhythmia Classification
This program takes and input of an ECG in European Data Format (EDF) and outputs the classification for heartbeats into normal vs different types of arrhythmia . It uses a deep learning model for classification purposes.
RobustVideoMatting and background composing in one model by using onnxruntime.
RVM_onnx_compose RobustVideoMatting and background composing in one model by using onnxruntime. Usage pip install -r requirements.txt python infer_cam
A model to classify a piece of news as REAL or FAKE
Fake_news_classification A model to classify a piece of news as REAL or FAKE. This python project of detecting fake news deals with fake and real news
MusicYOLO framework uses the object detection model, YOLOx, to locate notes in the spectrogram.
MusicYOLO MusicYOLO framework uses the object detection model, YOLOX, to locate notes in the spectrogram. Its performance on the ISMIR2014 dataset, MI
⌚️Internet Time reference and (eventually) converter site, for planning things with your internet friends who aren't (yet) obsessed with Internet Time 😉
Internet-Ti.me Internet Time reference and (eventually) converter site, for planning things with your internet friends who aren't (yet) obsessed with
Django Serverless Cron - Run cron jobs easily in a serverless environment
Django Serverless Cron - Run cron jobs easily in a serverless environment