133 Repositories
Python Predicting-Auction-Sale-Price-EnsemblesvsNeuralNet Libraries
Session-based Recommendation, CoHHN, price preferences, interest preferences, Heterogeneous Hypergraph, Co-guided Learning, SIGIR2022
This is our implementation for the paper: Price DOES Matter! Modeling Price and Interest Preferences in Session-based Recommendation Xiaokun Zhang, Bo
CryptoBar - A simple MenuBar app that shows the price of 3 cryptocurrencies
CryptoBar A very simple MenuBar app that shows the price of the following crypto
Historical Crypto Price
Made with Coingecko API, this is a VERY simple python script that asks you the crypto, date and currency you want and then proceeds to give you the price and MarketCap at that precise moment
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.
This is a Python script to detect rapid upwards price changes (pumps) in a cryptocurrency pairing
A python script to detect a rapid upwards price brekout (pump) in a cryptocurrency pairing, through pandas and Binance API.
Data from "Datamodels: Predicting Predictions with Training Data"
Data from "Datamodels: Predicting Predictions with Training Data" Here we provid
Predicting a person's gender based on their weight and height
Logistic Regression Advanced Case Study Gender Classification: Predicting a person's gender based on their weight and height 1. Introduction We turn o
Discord webhooks for alerting crypto currency price changes & historical data.
Crypto-Discord Discord Webhooks for alerting crypto currency price changes & historical data. Create virtual environment and install requirements. $ s
Predicting India’s COVID-19 Third Wave with LSTM
Predicting India’s COVID-19 Third Wave with LSTM Complete project of predicting new COVID-19 cases in the next 90 days with LSTM India is seeing a ste
A classification model capable of accurately predicting the price of secondhand cars
The purpose of this project is create a classification model capable of accurately predicting the price of secondhand cars. The data used for model building is open source and has been added to this repository. Most packages used are usually pre-installed in most developed environments and tools like collab, jupyter, etc. This can be useful for people looking to enhance the way the code their predicitve models and efficient ways to deal with tabular data!
Housing Price Prediction
This project aim was to predict the price of houses in the Boston area during the great financial crisis through regression, as well as classify houses into different quality categories according to their features. For this we used a kaggle data set.
This demo is an on-chain NFT auction using smart contracts on the Algorand blockchain.
Algorand Auction Demo This demo is an on-chain NFT auction using smart contracts on the Algorand blockchain. Usage The file auction/operations.py prov
This porject is intented to build the most accurate model for predicting the porbability of loan default
Estimating-Loan-Default-Probability IBA ML2 Mid-project / Kaggle Competition This porject is intented to build the most accurate model for predicting
Predicting Auction Sale Price using the kaggle bulldozer auction sales data: Modeling with Ensembles vs Neural Network
Predicting Auction Sale Price using the kaggle bulldozer auction sales data: Modeling with Ensembles vs Neural Network The performances of tree ensemb
This is a Flask web app which predicts fare of Flight ticket
Flight Fare Prediction: Table of Content Demo Overview Motivation Installation Deployement on Heroku Directory Tree Bug / Feature Request Future scope
Shopee Scraper - A web scraper in python that extract sales, price, avaliable stock, location and more of a given seller in Brazil
Shopee Scraper A web scraper in python that extract sales, price, avaliable stock, location and more of a given seller in Brazil. The project was crea
Predicting job salaries from ads - a Kaggle competition
Predicting job salaries from ads - a Kaggle competition
Predicting Keystrokes using an Audio Side-Channel Attack and Machine Learning
Predicting Keystrokes using an Audio Side-Channel Attack and Machine Learning My
Predicting 10 different clothing types using Xception pre-trained model.
Predicting-Clothing-Types Predicting 10 different clothing types using Xception pre-trained model from Keras library. It is reimplemented version from
A web scraper which checks price of a product regularly and sends price alerts by email if price reduces.
Amazon-Web-Scarper Created a web scraper using simple functions to check price of a product on amazon (can be duplicated to check price at other marke
In this project, we aim to achieve the task of predicting emojis from tweets. We aim to investigate the relationship between words and emojis.
Making Emojis More Predictable by Karan Abrol, Karanjot Singh and Pritish Wadhwa, Natural Language Processing (CSE546) under the guidance of Dr. Shad
Reproducing-BowNet: Learning Representations by Predicting Bags of Visual Words
Reproducing-BowNet Our reproducibility effort based on the 2020 ML Reproducibility Challenge. We are reproducing the results of this CVPR 2020 paper:
💰 An Alfred Workflow that provides current price of cryptocurrency
Coin Ticker for Alfred Workflow An Alfred Workflow that provides current price and status about cryptocurrency from cryptocompare.com. Supports Alfred
A Discord bot that may save your day by predicting it.
Sage A Discord bot that may save your day by predicting it.
Using the provided dataset which includes various book features, in order to predict the price of books, using various proposed methods and models.
Using the provided dataset which includes various book features, in order to predict the price of books, using various proposed methods and models.
Predicting the duration of arrival delays for commercial flights.
Flight Delay Prediction Our objective is to predict arrival delays of commercial flights. According to the US Department of Transportation, about 21%
This is a calculator of strike price distance for options.
Calculator-of-strike-price-distance-for-options This is a calculator of strike price distance for options. Options are a type of derivative. One strat
PytoPrice is an automation program to fetch the latest price of a cryptocurrency of your choice at a user-customizable update interval.
PyToPrice (Python Crypto Price) PytoPrice is an automation program to fetch the latest price of a cryptocurrency of your choice at a user-customizable
CHERRY is a python library for predicting the interactions between viral and prokaryotic genomes
CHERRY is a python library for predicting the interactions between viral and prokaryotic genomes. CHERRY is based on a deep learning model, which consists of a graph convolutional encoder and a link prediction decoder.
Predicting future trajectories of people in cameras of novel scenarios and views.
Pedestrian Trajectory Prediction Predicting future trajectories of pedestrians in cameras of novel scenarios and views. This repository contains the c
Housing Price Prediction Using Machine Learning.
HOUSING PRICE PREDICTION USING MACHINE LEARNING DESCRIPTION Housing Price Prediction Using Machine Learning is to predict the data of housings. Here I
Research into Forex price prediction from price history using Deep Sequence Modeling with Stacked LSTMs.
Forex Data Prediction via Recurrent Neural Network Deep Sequence Modeling Research Paper Our research paper can be viewed here Installation Clone the
Predicting Price of house by considering ,house age, Distance from public transport
House-Price-Prediction Predicting Price of house by considering ,house age, Distance from public transport, No of convenient stores around house etc..
Bitcoin-chance-wheel - Try your luck at getting bitcoins
Program Features - ✍️ Why did we name this tool the Lucky Wheel? - ✍️ This tool
Neural network for stock price prediction
neural_network_for_stock_price_prediction Neural networks for stock price predic
Coinloggr - A learning resource and social platform for the coin collecting community
Coinloggr A learning resource and social platform for the coin collecting commun
Py-price-monitoring - A Python price monitor
A Python price monitor This project was focused on Brazil, so the monitoring is
NFT-Price-Prediction-CNN - Using visual feature extraction, prices of NFTs are predicted via CNN (Alexnet and Resnet) architectures.
NFT-Price-Prediction-CNN - Using visual feature extraction, prices of NFTs are predicted via CNN (Alexnet and Resnet) architectures.
Predicting Global Crop Yield for World Hunger
Crop Yield And Global Famine - The fifth project I created during my time at General Assembly. I completed this project with three other classmates in the span of three weeks. Most of my work was directly related to the modeling and EDA.
Both social media sentiment and stock market data are crucial for stock price prediction
Relating-Social-Media-to-Stock-Movement-Public - We explore the application of Machine Learning for predicting the return of the stock by using the information of stock returns. A trading strategy based on this analysis leads to increased trading profits up to three times compared with a simple buy and hold strategy.
Tinybar - A simple MacOS menu bar utility to track price dynamics for assets on TinyMan.org
📃 About A simple MacOS menu bar app to display current coins from most popular
TinyBar - Tiny MacOS menu bar utility to track price dynamics for assets on TinyMan.org
📃 About A simple MacOS menu bar app to display current coins from most popular Liquidity Pools on TinyMan.org
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
Time-series-deep-learning - Developing Deep learning LSTM, BiLSTM models, and NeuralProphet for multi-step time-series forecasting of stock price.
Stock Price Prediction Using Deep Learning Univariate Time Series Predicting stock price using historical data of a company using Neural networks for
A tool can scrape product in aliexpress: Title, Price, and URL Product.
Scrape-Product-Aliexpress A tool can scrape product in aliexpress: Title, Price, and URL Product. Usage: 1. Install Python 3.8 3.9 padahal halaman ins
Beibo is a Python library that uses several AI prediction models to predict stocks returns over a defined period of time.
Beibo is a Python library that uses several AI prediction models to predict stocks returns over a defined period of time.
Python library to manipulate Ingenico mobile payment device like iCT220 or iWL220 equipped with Telium Manager. RS232/USB.
Python library to manipulate Ingenico mobile payment device like iCT220 or iWL220 equipped with Telium Manager. RS232/USB.
An Amazon Price Tracker app helps you to buy which product you want within sale price by sending an E-Mail.
Amazon Price Tracker An Amazon Price Tracker app helps you to buy which product you want within sale price by sending an E-Mail. Installing Download t
Python KNN model: Predicting a probability of getting a work visa. Tableau: Non-immigrant visas over the years.
The value of international students to the United States. Probability of getting a non-immigrant visa. Project timeline: Jan 2021 - April 2021 Project
Avocado hass time series vs predict price
AVOCADO HASS TIME SERIES VÀ PREDICT PRICE Trước khi vào Heroku muốn giao diện đẹp mọi người chuyển giúp mình theo hình bên dưới https://avocado-hass.h
Lighthouse: Predicting Lighting Volumes for Spatially-Coherent Illumination
Lighthouse: Predicting Lighting Volumes for Spatially-Coherent Illumination Pratul P. Srinivasan, Ben Mildenhall, Matthew Tancik, Jonathan T. Barron,
Python script for printing to the Hanshow price-tag
This repository contains Python code for talking to the ATC_TLSR_Paper open-source firmware for the Hanshow e-paper pricetag. Installation # Clone the
Code for EMNLP20 paper: "ProphetNet: Predicting Future N-gram for Sequence-to-Sequence Pre-training"
ProphetNet-X This repo provides the code for reproducing the experiments in ProphetNet. In the paper, we propose a new pre-trained language model call
Car Price Predictor App used to predict the price of the car based on certain input parameters created using python's scikit-learn, fastapi, numpy and joblib packages.
Pricefy Car Price Predictor App used to predict the price of the car based on certain input parameters created using python's scikit-learn, fastapi, n
Predicting Baseball Metric Clusters: Clustering Application in Python Using scikit-learn
Clustering Clustering Application in Python Using scikit-learn This repository contains the prediction of baseball metric clusters using MLB Statcast
Parser for air tickets' price
Air-ticket-price-parser Parser for air tickets' price How to Install Firefox If geckodriver.exe is not compatible with your Firefox version, download
Ml based project which uses regression technique to predict the price.
Price-Predictor Ml based project which uses regression technique to predict the price. I have used various regression models and finds the model with
Extract price amount and currency symbol from a raw text string
price-parser is a small library for extracting price and currency from raw text strings.
𝗖𝝠𝝦𝝩𝝠𝝞𝝥 𝝦𝗥𝝞𝗖𝝽°™️ 🇱🇰 Is An All In One Media Inline Bot Made For Inline Your Media Effectively With Some Advance Security Tools♥️
𝗖𝝠𝝦𝝩𝝠𝝞𝝥 𝝦𝗥𝝞𝗖𝝽° ™️ 🇱🇰 𝗙𝗘𝝠𝝩𝗨𝗥𝗘𝗦 Auto Filter IMDB Admin Commands Broadcast Index IMDB Search Inline Search Random Pics Ids & User I
Python Dash app that tracks whale activity in cryptocurrency markets.
Introduction Welcome! This is a Python-based Dash app meant to track whale activity in buy / sell walls on crypto-currency exchanges (presently just o
This repo contains the source code and a benchmark for predicting user's utilities with Machine Learning techniques for Computational Persuasion
Machine Learning for Argument-Based Computational Persuasion This repo contains the source code and a benchmark for predicting user's utilities with M
Predicting Student Attentiveness using OpenCV
Predicting-Student-Attentiveness-using-OpenCV The model will predict if a student is attentive or not through facial parameter received through the st
An eBay-like e-commerce auction site that will allow users to post auction listings, place bids on listings, comment on those listings, and add listings to a watchlist.
e-commerce-auction-site This repository is my solution to Commerce project of CS50’s Web Programming with Python and JavaScript course by Harvard. 🚀
Predicting Axillary Lymph Node Metastasis in Early Breast Cancer Using Deep Learning on Primary Tumor Biopsy Slides
Predicting Axillary Lymph Node Metastasis in Early Breast Cancer Using Deep Learning on Primary Tumor Biopsy Slides Project | This repo is the officia
A simple python stock Predictor
Python Stock Predictor A simple python stock Predictor Demo Run Locally Clone the project git clone https://github.com/yashraj-n/stock-price-predict
Predicting Event Memorability from Contextual Visual Semantics
Predicting Event Memorability from Contextual Visual Semantics
tradingview socket api for fetching real time prices.
tradingView-API tradingview socket api for fetching real time prices. How to run git clone https://github.com/mohamadkhalaj/tradingView-API.git cd tra
Predicting diabetes over a five year period using logistic regression and the Pima First-Nation dataset
Diabetes This script uses the Pima First Nations dataset to create a model to predict whether or not an individual will develop Diabetes Mellitus Type
Django based webapp pulling in crypto news and price data via api
Deploy Django in Production FTA project implementing containerization of Django Web Framework into Docker to be placed into Azure Container Services a
Eulera Dashboard is an easy and intuitive way to get a quick feel of what’s happening on the world’s market.
an easy and intuitive way to get a quick feel of what’s happening on the world’s market ! Eulera dashboard is a tool allows you to monitor historical
Price checker windows application
Price-Checker price checker windows application This application monitors the prices of selected products and displays a notification if the price has
Discord bots that update their status to the price of any coin listed on x.vite.net
Discord bots that update their status to the price of any coin listed on x.vite.net
A linear regression model for house price prediction
Linear_Regression_Model A linear regression model for house price prediction. This code is using these packages, so please make sure your have install
Calculate multilateral price indices in Python (with Pandas and PySpark).
IndexNumCalc Calculate multilateral price indices using the GEKS-T (CCDI), Time Product Dummy (TPD), Time Dummy Hedonic (TDH), Geary-Khamis (GK) metho
A crypto bot that checks the price movement in the markets and creates buy and sell signals
Booter bot Purpose The purpose of this bot is to check the price fluctuations in a given market in binance and create the idealistic signals based on
A price calculator for multiple things
Price Calculator A price calculator for multiple things Example I have 0.0567kg diamond. The price of diamond in kg is: $4500. Then it says: The price
Code for Paper Predicting Osteoarthritis Progression via Unsupervised Adversarial Representation Learning
Predicting Osteoarthritis Progression via Unsupervised Adversarial Representation Learning (c) Tianyu Han and Daniel Truhn, RWTH Aachen University, 20
An easy to use Natural Language Processing library and framework for predicting, training, fine-tuning, and serving up state-of-the-art NLP models.
Welcome to AdaptNLP A high level framework and library for running, training, and deploying state-of-the-art Natural Language Processing (NLP) models
Predicting the usefulness of reviews given the review text and metadata surrounding the reviews.
Predicting Yelp Review Quality Table of Contents Introduction Motivation Goal and Central Questions The Data Data Storage and ETL EDA Data Pipeline Da
A machine learning project that predicts the price of used cars in the UK
Car Price Prediction Image Credit: AA Cars Project Overview Scraped 3000 used cars data from AA Cars website using Python and BeautifulSoup. Cleaned t
Use unsupervised and supervised learning to predict stocks
AIAlpha: Multilayer neural network architecture for stock return prediction This project is meant to be an advanced implementation of stacked neural n
Introducing neural networks to predict stock prices
IntroNeuralNetworks in Python: A Template Project IntroNeuralNetworks is a project that introduces neural networks and illustrates an example of how o
Building house price data pipelines with Apache Beam and Spark on GCP
This project contains the process from building a web crawler to extract the raw data of house price to create ETL pipelines using Google Could Platform services.
Fully functioning price detector built with selenium and python
Fully functioning price detector built with selenium and python
Predicting Tweet Sentiment Maching Learning and streamlit
Predicting-Tweet-Sentiment-Maching-Learning-and-streamlit (I prefere using Visual Studio Code ) Open the folder in VS Code Run the first cell in requi
Stock Price Prediction Bank Jago Using Facebook Prophet Machine Learning & Python
Stock Price Prediction Bank Jago Using Facebook Prophet Machine Learning & Python Overview Bank Jago has attracted investors' attention since the end
Implementation of the bachelor's thesis "Real-time stock predictions with deep learning and news scraping".
Real-time stock predictions with deep learning and news scraping This repository contains a partial implementation of my bachelor's thesis "Real-time
This repository contains the code to predict house price using Linear Regression Method
House-Price-Prediction-Using-Linear-Regression The dataset I used for this personal project is from Kaggle uploaded by aariyan panchal. Link of Datase
Cryptocurrency price prediction and exceptions in python
Cryptocurrency price prediction and exceptions in python This is a coursework on foundations of computing module Through this coursework i worked on m
A Google sheet which keeps track of the locations that want to visit and a price cutoff
FlightDeals Here's how the program works. First, I have a Google sheet which keeps track of the locations that I want to visit and a price cutoff. It
A complete end-to-end machine learning portal that covers processes starting from model training to the model predicting results using FastAPI.
Machine Learning Portal Goal Application Workflow Process Design Live Project Goal A complete end-to-end machine learning portal that covers processes
This python code will get requests from SET (The Stock Exchange of Thailand) a previously-close stock price and return it in Thai Baht currency using beautiful soup 4 HTML scrapper.
This python code will get requests from SET (The Stock Exchange of Thailand) a previously-close stock price and return it in Thai Baht currency using beautiful soup 4 HTML scrapper.
Predicting lncRNA–protein interactions based on graph autoencoders and collaborative training
Predicting lncRNA–protein interactions based on graph autoencoders and collaborative training Code for our paper "Predicting lncRNA–protein interactio
Price forecasting of SGB and IRFC Bonds and comparing there returns
Project_Bonds Project Title : Price forecasting of SGB and IRFC Bonds and comparing there returns. Introduction of the Project The 2008-09 global fina
Predicting path with preference based on user demonstration using Maximum Entropy Deep Inverse Reinforcement Learning in a continuous environment
Preference-Planning-Deep-IRL Introduction Check my portfolio post Dependencies Gym stable-baselines3 PyTorch Usage Take Demonstration python3 record.
Bring A Trailer(BAT) is a popular online auction website for enthusiast cars. This traverse auction results and saves them as CSV
BaT Data Grabber Bring A Trailer(BAT) is a popular online auction website for enthusiast cars. This traverse auction results and saves them as CSV Bri
Implementation of Enformer, Deepmind's attention network for predicting gene expression, in Pytorch
Enformer - Pytorch (wip) Implementation of Enformer, Deepmind's attention network for predicting gene expression, in Pytorch. The original tensorflow
Warren - Stock Price Predictor
Web app to predict closing stock prices in real time using Facebook's Prophet time series algorithm with a multi-variate, single-step time series forecasting strategy.
Implementation of Smart Batch Auction for NFT launches on Tezos.
NFT Smart Batch Auction Smart Batch Auctions are an improvement over the traditional first come first serve (FCFS) NFT drops. FCFS design has been in
Script to get a notification when a product, on Amazon Warehouse, is available within a target price
Amazon_Warehouse_Scraping This script aims to scrape Amazon Warehouse and send an email back if there are products whose price matches with the target