Python Sleep-stage-classification-using-ML-algorithms Resources

Prosumer Policy This project aims to model the optimum dispatch behaviour of households with PV and battery systems under different policy instrument

Revengeshogi My attempt at creating a USI Shogi Engine in python using python-shogi. Current State of Engine Currently only generating random moves us

Levene and Brown-Forsynthe: Test for variances Application to Global Navigation Satellite Systems (GNSS) Python algorithm to determine the optimal ele

This repository contains code which implements the Stochastic Gaussian Mixture Model (S-GMM) for event-based datasets Dependencies CMake Premake4 Blaz

Detection of Fake Reviews on Online Review Platforms using Deep Learning Architectures Dataset: https://s3.amazonaws.com/fast-ai-nlp/yelp_review_polar

Efficient Single Image Super-Resolution Using Dual Path Connections with Multiple Scale Learning This repository is for EMSRDPN introduced in the foll

The GatedTabTransformer. A deep learning tabular classification architecture inspired by TabTransformer with integrated gated multilayer perceptron. C

Replication Code for 'Moving On' - Investigating Inventors' Ethnic Origins Using Supervised Learning This repository contains the code to replicate th

Deep Transfer Learning on PyTorch This is a PyTorch library for deep transfer learning. We divide the code into two aspects: Single-source Unsupervise

Face Anonymizer Blur faces from image and video files in /input/ folder. Require

GazeScroller Using Facial Movements to perform Hands-free Gesture on the system

flappy-bird Esse é um jogo que eu fiz utilizando a biblioteca de jogos do Python

Hello Installation Clone Repo & install bash $ git clone https://github.com/Pito

Image Segmentation with U-Net Algorithm on Carvana Dataset using AWS Sagemaker This is a full project of image segmentation using the model built with

Fairstructure - Structure your data in a FAIR way using google sheets or TSVs. These are then converted to LinkML, and from there other formats

Two-Stage Text Summarization Description We experiment with a 2-stage summarization model on CNN/DailyMail dataset that combines the ability to filter

SemEval 2021 Task 5: Toxic Spans Detection: Task: Link to SemEval-2021: Task 5 Toxic Span Detection is https://competitions.codalab.org/competitions/2

Efficient Single Image Super-Resolution Using Dual Path Connections with Multiple Scale Learning This repository is for EMSRDPN introduced in the foll

Streaming Data Pipeline - Kafka + ELK Stack Streaming weather data using Apache Kafka and Elastic Stack. Data source: https://openweathermap.org/api O

Tensorflow implementation for CVPR2020 paper “Learning to Cartoonize Using White-box Cartoon Representations”.

STEFANN: Scene Text Editor using Font Adaptive Neural Network @ The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2020.

Cricket-game-using-PYQT This is a Fantasy cricket Desktop application build in p

Fashion-Entity-Classification - Fashion-MNIST is a dataset of Zalando's article images—consisting of a training set of 60,000 examples and a test set of 10,000 examples. Each example is a 28x28 grayscale image, associated with a label from 10 classes. Zalando intends Fashion-MNIST to serve as a direct drop-in replacement for the original MNIST dataset for benchmarking machine learning algorithms. It shares the same image size and structure of training and testing splits.

OpenSea API Explorer Using Streamlit to build a simple UI on top of the OpenSea API. 🤝 Contributing Contributions, issues and feature requests are we

Skill-vs-chance-games-analysis - Finding a method to objectively quantify skill versus chance in games, using reinforcement learning

Building a Robust IOT device which is customizable, encrypted, secure and user friendly, which uses a single GPIO pin to extract multiple sensor values

micropython-wifimanager-esp8266 Simple Wifi Manager for ESP8266 using MicroPytho

dependencies for project: cmake 3.22.1 dlib 19.22.1 face-recognition 1.3.0 openc

Face-Recognition-Attendence-System I have developed this face recognition Attend

Overview Customer Segmentation is one the most important applications of unsupervised learning. Using clustering techniques, companies can identify th

Video Player 🔥 ᴢᴀɪᴅ ᴠᴄ ᴘʟᴀyᴇʀ ɪꜱ ᴀ ᴛᴇʟᴇɢʀᴀᴍ ᴘʀᴏᴊᴇᴄᴛ ʙᴀꜱᴇᴅ ᴏɴ ᴘʏʀᴏɢʀᴀᴍ ꜰᴏʀ ᴘʟᴀʏ ᴍᴜꜱɪᴄꜱ ɪɴ ᴠᴄ ᴄʜᴀᴛꜱ... 🅡🅔🅟🅞 🅢🅣🅐🅣🅢 ʀᴇQᴜɪʀᴇᴍᴇɴᴛꜱ 📝 FFmpeg NodeJ

Advanced-Digital-Envelope-System Advanced Digital Envelope System Using Cryptography Encryption Techniques The digital envelope system is the techniqu

Project 3: Web APIs & NLP Problem Statement How do r/Libertarian and r/Neoliberal differ on Biden post-inaguration? The goal of the project is to see

COVID Predictions This repo contains ML models to be trained on COVID-19 data from the UK, sourced off of Kaggle here. This uses many different ML mod

Wheel-of-Fortune-using-Python Wheel of Fortune in python this game is the hands-on project in Python 3 Programming Specialization offered By Universit

NFT-Price-Prediction-CNN - Using visual feature extraction, prices of NFTs are predicted via CNN (Alexnet and Resnet) architectures.

privateRoom Make your work private by building a system using arduino which instantly kills a program when someone enters your room/cabin STEPS: Uploa

Web-scraping - A bot using Python with BeautifulSoup that scraps IRS website (prior form publication) by form number and returns the results as json. It provides the option to download pdfs over a range of years.

LightningFSL: Few-Shot Learning with Pytorch-Lightning In this repo, a number of pytorch-lightning implementations of FSL algorithms are provided, inc

FaceAPI AI-powered Face Detection & Rotation Tracking, Face Description & Recognition, Age & Gender & Emotion Prediction for Browser and NodeJS using

Lending Club Loans: Brief Introduction LendingClub is a US peer-to-peer lending company, headquartered in San Francisco, California.[3] It was the fir

Scene-Change-Detection - A video scene detection algorithm is designed to detect a variety of different scenes within a video. There is a very simple definition for a scene: It is a series of logically and chronologically related shots taken in a specific order to depict an over-arching concept or story.

LSTM based Sentiment Classification using Tensorflow - Amazon Reviews Rating (Dataset) The dataset is from Amazon Review Data (2018)

SuperMario - Python programming class ending assignment SuperMario, using pygame

htmdf Converts html to pdf with support for variables using fastApi. Installation Clone this repository. git clone https://github.com/ShreehariVaasish

benchmark_spaces Benchmarks of how well different two dimensional spaces work fo

DOODS2 - Return of DOODS Dedicated Open Object Detection Service - Yes, it's a b

Video Player 🔥 ᴢᴀɪᴅ ᴠᴄ ᴘʟᴀyᴇʀ ɪꜱ ᴀ ᴛᴇʟᴇɢʀᴀᴍ ᴘʀᴏᴊᴇᴄᴛ ʙᴀꜱᴇᴅ ᴏɴ ᴘʏʀᴏɢʀᴀᴍ ꜰᴏʀ ᴘʟᴀʏ

BraTS(Brain Tumour Segmentation) using V-Net This project is an approach to dete

Control-Raspberry-Pi-Robot-using-Hand-Gestures you can see all details about thi

Key_Logger Key Logger using Python This is the basic Keylogger that i have made

✨ HINAMI CHAN ✨ Telegram Group Manager Bot Written In Python Using Pyrogram. Rea

Ensembling parameters with differential evolution This repository shows how to ensemble parameters of two trained neural networks using differential e

Nasir Khusraw : Travelling Salesman Problem The TSP solved using genetic algorithm. This project show TSP path overlaid on a map of the Iran provinces

Auth-Starters Different APIs using Django & Flask & FastAPI to see Authentication Service how its work, and how to use it. This Repository based on my

telop Telop (TELégrafoÓPtico) - Utilidad para codificar y descodificar mensajes de texto empleando una interpretación del código telegráfico ideado po

Simple-Image-Classification Simple Image Classification Code (PyTorch) Yechan Kim This repository contains: Python3 / Pytorch code for multi-class ima

FFmpeg VideoStream High speed video frame access in Python, using FFmpeg and FFshow This script requires: Karl Kroening's 'ffmpeg-python' library. (ht

Cryptocurrency Trading Bot - A trading bot to automate cryptocurrency trading strategies using Python, equipped with a basic GUI. Used REST and WebSocket API to connect to two of the most popular crypto exchanges in the world.

BasicNeuralNetwork - This project looks over the basic structure of a neural network and how machine learning training algorithms work. For this project, I used the sigmoid function as an activation function along with stochastic gradient descent to adjust the weights and biases.

Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

Awesome AI books Some awesome AI related books and pdfs for downloading and learning. Preface This repo only used for learning, do not use in business

earthengine-py-notebooks A collection of 360+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping Contact: Qiushen

A collection of graph classification methods, covering embedding, deep learning, graph kernel and factorization papers

Dbt-core - dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.

AutoML for Text, Image, and Tabular Data AutoGluon automates machine learning tasks enabling you to easily achieve strong predictive performance in yo

Most popular metrics used to evaluate object detection algorithms.

PySOT is a software system designed by SenseTime Video Intelligence Research team. It implements state-of-the-art single object tracking algorit

Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning

GANs in Action by Jakub Langr and Vladimir Bok List of available code: Chapter 2: Colab, Notebook Chapter 3: Notebook Chapter 4: Notebook Chapter 6: C

Partial Convolutions for Image Inpainting using Keras Keras implementation of "Image Inpainting for Irregular Holes Using Partial Convolutions", https

Hyperparameter Optimization of Machine Learning Algorithms This code provides a hyper-parameter optimization implementation for machine learning algor

A scalable on-line movie recommender using Spark and Flask This Apache Spark tutorial will guide you step-by-step into how to use the MovieLens datase

nerf_pl Update: an improved NSFF implementation to handle dynamic scene is open! Update: NeRF-W (NeRF in the Wild) implementation is added to nerfw br

a project built with deep convolutional neural network and ❤️ Table of Contents Motivation The Database The Model 3.1 Input Layer 3.2 Convolutional La

Captcha Solving Using TensorFlow Introduction Solve captcha using TensorFlow. Learn CNN and TensorFlow by a practical project. Follow the steps, run t

GestureSSD_CBAM A gesture recognition web system based on SSD and CBAM, using pytorch, flask and node.js SSD implementation is based on https://github

Introduction: If you want to know sura number of al quran by just typing the name of sura than you can use this script. Usage in termux: $ pkg install

As much as this series is to educate aspiring computer programmers and data scientists of all ages and all backgrounds, it is also a reminder to mysel

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation Created by Charles R. Qi, Hao Su, Kaichun Mo, Leonidas J. Guibas from Sta

Overview This repository implements some common path planning algorithms used in robotics, including Search-based algorithms and Sampling-based algori

neural image analogies This is basically an implementation of this "Image Analogies" paper, In our case, we use feature maps from VGG16. The patch mat

Credit-Fraud-Detection - Credit fraud detection in Python using a Jupyter Notebook , using three classification models (Random Forest, Gaussian Naive Bayes, Logistic Regression) from the sklearn library, and judging the performance based on accuracy, precision, recall and f1 score

Automatic-Watering-System - Technical Answers to Real-World Problems. Evolution of Watering Manually to Watering Automatically.

Automatic Library of Congress Classification The Library of Congress Classification (LCC) is a comprehensive classification system that was first deve

Flight_fare-Prediction It is a Flight_fare Prediction Web Application Using Machine learning,Python and flask Using Machine leaning i have created a F

Plotly Crash Course This course was designed to help you get started using Plotly. If you ever felt like your data visualization skills could use an u

Notebooks for computing approximations to the prime counting function using Riemann's formula.

Distributed Systems Algorithms ISIS algorithm In an asynchronous system that kee

Control-Robot-Arm-using-PS4-Controller You can see all details about this Robot

URL Shortener Um encurtador de link feito em python usando as API's da lib pysho

technical_indicators_cryptos Using technical indicators to find optimal trading strategies to deploy onto trading bot. In the Jup Notebook you wil

Cancer-and-Tumor-Detection-Using-Inception-model In this repo i am gonna show you how i did cancer/tumor detection in lungs using deep neural networks

Mortgage-loan-prediction - Show how to perform advanced Analytics and Machine Learning in Python using a full complement of PyData utilities. This is aimed at those looking to get into the field of Data Science or those who are already in the field and looking to solve a real-world project with python.

Patient-Survival - Using Python, I developed a Machine Learning model using classification techniques such as Random Forest and SVM classifiers to predict a patient's survival status that have undergone breast cancer surgery.

Omdena-abuja-anpd - Automatic Number Plate Detection for the security of lives and properties using Computer Vision.

SQLite python Starcraft 2 English This project shows the usage of SQLite with python. To create, modify and communicate with the SQLite database from

Mortgage-loan-prediction - Show how to perform advanced Analytics and Machine Learning in Python using a full complement of PyData utilities

Medical-Insurance-Cost-Prediction-using-Machine-learning - Here in this project, I will use regression analysis to predict medical insurance cost for people in different regions, and based on several aspects like : Smoking, Number of children, BMI...etc.

BRNet code for "Automated assessment of BI-RADS categories for ultrasound images using multi-scale neural networks with an order-constrained loss func