552 Repositories
Python How-to-Predict-Stock-Prices-Easily-Demo Libraries
Sends notifications when Pokemon Center products are in stock
Sends notifications when Pokemon Center products are in stock! If you use this for scalping, I will break your kneecaps
Predict the output which should give a fair idea about the chances of admission for a student for a particular university
Predict the output which should give a fair idea about the chances of admission for a student for a particular university.
Using knowledge-informed machine learning on the PRONOSTIA (FEMTO) and IMS bearing data sets. Predict remaining-useful-life (RUL).
Knowledge Informed Machine Learning using a Weibull-based Loss Function Exploring the concept of knowledge-informed machine learning with the use of a
YT-Spammer-Purge - Allows you easily scan for and delete scam comments using several methods
YouTube Spammer Purge What Is This? - Allows you to filter and search for spamme
Simple Python demo app that connects to an Oracle DB.
Cloud Foundry Sample Python Application Connecting to Oracle Simple Python demo app that connects to an Oracle DB. The app is based on the example pro
A library for demo trading | backtest and forward test simulation
Trade Engine a library for demo trading | backtest and forward test simulation Features Limit/Market orders: you can place a Limit or Market order in
Using machine learning to predict undergrad college admissions.
College-Prediction Project- Overview: Many have tried, many have failed. Few trailblazers are ambitious enought to chase acceptance into the top 15 un
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
LSTM Neural Network for Time Series Prediction LSTM built using the Keras Python package to predict time series steps and sequences. Includes sine wav
An API-first distributed deployment system of deep learning models using timeseries data to analyze and predict systems behaviour
Gordo Building thousands of models with timeseries data to monitor systems. Table of content About Examples Install Uninstall Developer manual How to
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
A python-based terminal application that displays current cryptocurrency prices
CryptoAssetPrices A python-based terminal application that displays current cryptocurrency prices. Covered Cryptocurrencies Bitcoin (BTC) Ethereum (ET
A Demo server serving Bert through ONNX with GPU written in Rust with 3
Demo BERT ONNX server written in rust This demo showcase the use of onnxruntime-rs on BERT with a GPU on CUDA 11 served by actix-web and tokenized wit
Neural network for stock price prediction
neural_network_for_stock_price_prediction Neural networks for stock price predic
IRON Kaggle project done while doing IRONHACK Bootcamp where we had to analyze and use a Machine Learning Project to predict future sales
IRON Kaggle project done while doing IRONHACK Bootcamp where we had to analyze and use a Machine Learning Project to predict future sales. In this case, we ended up using XGBoost because it was the one with a higher score and less overfitting.
Stock trading bot made using the Robinhood API / Python library...
High-Low Stock trading bot made using the Robinhood API / Python library... Index Installation Use Development Notes Installation To Install and run t
This code is 3d-CNN model that can predict environmental value
Predict-environmental-value-3dCNN This code is 3d-CNN model that can predict environmental value. Firstly, I built a model that can create a lot of bu
NLP techniques such as named entity recognition, sentiment analysis, topic modeling, text classification with Python to predict sentiment and rating of drug from user reviews.
This file contains the following documents sumbited for Baruch CIS9665 group 9 fall 2021. 1. Dataset: drug_reviews.csv 2. python codes for text classi
Training DALL-E with volunteers from all over the Internet using hivemind and dalle-pytorch (NeurIPS 2021 demo)
Training DALL-E with volunteers from all over the Internet This repository is a part of the NeurIPS 2021 demonstration "Training Transformers Together
Simple translation demo showcasing our headliner package.
Headliner Demo This is a demo showcasing our Headliner package. In particular, we trained a simple seq2seq model on an English-German dataset. We didn
A stock analysis app with streamlit
StockAnalysisApp A stock analysis app with streamlit. You select the ticker of the stock and the app makes a series of analysis by using the price cha
Do you like Quick, Draw? Well what if you could train/predict doodles drawn inside Streamlit? Also draws lines, circles and boxes over background images for annotation.
Streamlit - Drawable Canvas Streamlit component which provides a sketching canvas using Fabric.js. Features Draw freely, lines, circles, boxes and pol
Streamlit app demonstrating an image browser for the Udacity self-driving-car dataset with realtime object detection using YOLO.
Streamlit Demo: The Udacity Self-driving Car Image Browser This project demonstrates the Udacity self-driving-car dataset and YOLO object detection in
A demonstration of using a live Tensorflow session to create an interactive face-GAN explorer.
Streamlit Demo: The Controllable GAN Face Generator This project highlights Streamlit's new hash_func feature with an app that calls on TensorFlow to
A Streamlit demo to interactively visualize Uber pickups in New York City
Streamlit Demo: Uber Pickups in New York City A Streamlit demo written in pure Python to interactively visualize Uber pickups in New York City. View t
A Streamlit demo demonstrating the Deep Dream technique. Adapted from the TensorFlow Deep Dream tutorial.
Streamlit Demo: Deep Dream A Streamlit demo demonstrating the Deep Dream technique. Adapted from the TensorFlow Deep Dream tutorial How to run this de
This is an official repository of CLGo: Learning to Predict 3D Lane Shape and Camera Pose from a Single Image via Geometry Constraints
CLGo This is an official repository of CLGo: Learning to Predict 3D Lane Shape and Camera Pose from a Single Image via Geometry Constraints An earlier
Lumi-Bot - Discord bot that fetches cryptocurrency prices utilizing CoinGeko API
Lumi-Bot Discord bot that fetches and monitors cryptocurrency prices utilizing C
Streaming Finance Data with AWS Lambda
A data pipeline consisting of an AWS lambda function reading data from yfinance API, an AWS Kinesis stream to receive & store data in S3 buckets and AWS Glue crawler & Athena to run SQL queries.
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.
Lending-Club-Loans - Using TensorFlow to create an ANN model to predict whether people would charge off or pay back their loans.
Lending Club Loans: Brief Introduction LendingClub is a US peer-to-peer lending company, headquartered in San Francisco, California.[3] It was the fir
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.
PenguinSpeciesPredictionML - Basic model to predict Penguin species based on beak size and sex.
Penguin Species Prediction (ML) 🐧 👨🏽💻 What? 💻 This project is a basic model using sklearn methods to predict Penguin species based on beak size
Stroke-predictions-ml-model - Machine learning model to predict individuals chances of having a stroke
stroke-predictions-ml-model machine learning model to predict individuals chance
Augmented CLIP - Training simple models to predict CLIP image embeddings from text embeddings, and vice versa.
Train aug_clip against laion400m-embeddings found here: https://laion.ai/laion-400-open-dataset/ - note that this used the base ViT-B/32 CLIP model. S
Archivist - Easily archive 📦 Download folder to Google Drive ☁️
Archivist Script for archiving Download folder by uploading unmodified files to a Google Drive folder. Modified files will remain in the Download fold
Easytile blender - Simple Blender 2.83 addon for tiling meshes easily
easytile_blender Dead simple, barebones Blender (2.83) addon for placing meshes as tiles. Installation In Blender, go to Edit Preferences Add-ons
Blankly - 🚀 💸 Trade stocks, cryptos, and forex w/ one package. Easily build, backtest, trade, and deploy across exchanges in a few lines of code.
💨 Rapidly build and deploy quantitative models for stocks, crypto, and forex 🚀 View Docs · Our Website · Join Our Newsletter · Getting Started Why B
How to Predict Stock Prices Easily Demo
How-to-Predict-Stock-Prices-Easily-Demo How to Predict Stock Prices Easily - Intro to Deep Learning #7 by Siraj Raval on Youtube ##Overview This is th
Stock-history-display - something like a easy yearly review for your stock performance
Stock History Display Available on Heroku: https://stock-history-display.herokua
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.
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.
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
House_prices_kaggle - Predict sales prices and practice feature engineering, RFs, and gradient boosting
House Prices - Advanced Regression Techniques Predicting House Prices with Machine Learning This project is build to enhance my knowledge about machin
Houseprices - Predict sales prices and practice feature engineering, RFs, and gradient boosting
House Prices - Advanced Regression Techniques Predicting House Prices with Machine Learning This project is build to enhance my knowledge about machin
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.
Instagram_scrapper - This project allow you to scrape the list of followers, following or both from a public Instagram account, and create a csv or excel file easily.
Instagram_scrapper This project allow you to scrape the list of followers, following or both from a public Instagram account, and create a csv or exce
The model is designed to train a single and large neural network in order to predict correct translation by reading the given sentence.
Neural Machine Translation communication system The model is basically direct to convert one source language to another targeted language using encode
A smart tool to backup members 📈 So you even after a raid/ ban you can easily restore them in seconds 🎲
🤑 Discord-backer 🤑 A open-source Discord member backup and restore tool for your server. This can help you get all your members in 5 Seconds back af
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.
Deep Hedging Demo - An Example of Using Machine Learning for Derivative Pricing.
Deep Hedging Demo Pricing Derivatives using Machine Learning 1) Jupyter version: Run ./colab/deep_hedging_colab.ipynb on Colab. 2) Gui version: Run py
An incomplete add-on extension to Pyrogram, to create telegram bots a bit more easily
PyStark A star ⭐ from you means a lot An incomplete add-on extension to Pyrogram
Subscribe, listen and (in the future) download your favorite podcasts, quickly and easily.
Minimal Podcasts Player https://github.com/son-link/minimal-podcasts-player Subscribe, listen and (in the future) download your favorite podcasts, qui
A proper portfolio tracker. Featuring historical allocation, cash flows and real returns.
Python Portfolio Analytics A portfolio tracker featuring account transactions, historical allocation, dividends and splits management and endless perf
Real-time cryptocurrencies prices.
New update added more cryptocurrencies and GBP If you like it give it a star Crypto-watcher is simple program showing price of cryptocurrency in USD a
Python scripts aim to use a Random Forest machine learning algorithm to predict the water affinity of Metal-Organic Frameworks
The following Python scripts aim to use a Random Forest machine learning algorithm to predict the water affinity of Metal-Organic Frameworks (MOFs). The training set is extracted from the Cambridge Structural Database and the CoRE_MOF 2019 dataset.
Develop open-source Python Arabic NLP libraries that the Arab world will easily use in all Natural Language Processing applications
Develop open-source Python Arabic NLP libraries that the Arab world will easily use in all Natural Language Processing applications
Easily download audio described movies and TV shows found on audiovault.net
AudioVault Downloader A convenient downloader for audio described movies and TV shows found on the Audio Vault. get latest binary release for Windows
Examples of using f2py to get high-speed Fortran integrated with Python easily
f2py Examples Simple examples of using f2py to get high-speed Fortran integrated with Python easily. These examples are also useful to troubleshoot pr
Websocket 'broadcast' demo using FastAPI/Starlette
fastapi-websocket-broadcast An example of the familiar 'chat' websocket demo app, implemented in FastAPI / Starlette. Run with uvicorn app:app And th
Satoshi is a discord bot template in python using discord.py that allow you to track some live crypto prices with your own discord bot.
Satoshi ~ DiscordCryptoBot Satoshi is a simple python discord bot using discord.py that allow you to track your favorites cryptos prices with your own
Spokestack is a library that allows a user to easily incorporate a voice interface into any Python application with a focus on embedded systems.
Welcome to Spokestack Python! This library is intended for developing voice interfaces in Python. This can include anything from Raspberry Pi applicat
Satoshi is a discord bot template in python using discord.py that allow you to track some live crypto prices with your own discord bot.
Satoshi ~ DiscordCryptoBot Satoshi is a simple python discord bot using discord.py that allow you to track your favorites cryptos prices with your own
FauxFactory generates random data for your automated tests easily!
FauxFactory FauxFactory generates random data for your automated tests easily! There are times when you're writing tests for your application when you
The Blinker Herald includes helpers to easily emit signals using the excellent blinker library.
Blinker Herald The Blinker Herald includes helpers to easily emit signals using the excelent blinker library. Decorate a function or method with @blin
A Python program to easily solve the n-queens problem using min-conflicts algorithm
QueensProblem A program to easily solve the n-queens problem using min-conflicts algorithm Performances estimated with a sample of 1000 different rand
Simple program to easily view Euler parameters in 3D.
Simple program to easily view Euler parameters in 3D.
🐍PyNode Next allows you to easily create beautiful graph visualisations and animations
PyNode Next A complete rewrite of PyNode for the modern era. Up to five times faster than the original PyNode. PyNode Next allows you to easily create
Elasticsearch tool for easily collecting and batch inserting Python data and pandas DataFrames
ElasticBatch Elasticsearch buffer for collecting and batch inserting Python data and pandas DataFrames Overview ElasticBatch makes it easy to efficien
Automate SSH in python easily!
RedExpect RedExpect makes automating remote machines over SSH very easy to do and is very fast in doing exactly what you ask of it. Based on ssh2-pyth
objectfactory is a python package to easily implement the factory design pattern for object creation, serialization, and polymorphism
py-object-factory objectfactory is a python package to easily implement the factory design pattern for object creation, serialization, and polymorphis
Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
Redash is designed to enable anyone, regardless of the level of technical sophistication, to harness the power of data big and small. SQL users levera
simple demo codes for Learning to Teach with Dynamic Loss Functions
Learning to Teach with Dynamic Loss Functions This repo contains the simple demo for the NeurIPS-18 paper: Learning to Teach with Dynamic Loss Functio
A library that allows you to easily mock out tests based on AWS infrastructure.
Moto - Mock AWS Services Install $ pip install moto[ec2,s3,all] In a nutshell Moto is a library that allows your tests to easily mock out AWS Services
AKShare is an elegant and simple financial data interface library for Python, built for human beings
AKShare is an elegant and simple financial data interface library for Python, built for human beings
This repository provides data for the VAW dataset as described in the CVPR 2021 paper titled "Learning to Predict Visual Attributes in the Wild"
Visual Attributes in the Wild (VAW) This repository provides data for the VAW dataset as described in the CVPR 2021 Paper: Learning to Predict Visual
This project consists of a collaborative filtering algorithm to predict movie reviews ratings from a dataset of Netflix ratings.
Collaborative Filtering - Netflix movie reviews Description This project consists of a collaborative filtering algorithm to predict movie reviews rati
Share a benchmark that can easily apply reinforcement learning in Job-shop-scheduling
Gymjsp Gymjsp is an open source Python library, which uses the OpenAI Gym interface for easily instantiating and interacting with RL environments, and
A set of demo of deploying a Machine Learning Model in production using various methods
Machine Learning Model in Production This git is for those who have concern about serving your machine learning model to production. Overview The tuto
Predict Breast Cancer Wisconsin (Diagnostic) using Naive Bayes
Naive-Bayes Predict Breast Cancer Wisconsin (Diagnostic) using Naive Bayes Downloading Data Set Use our Breast Cancer Wisconsin Data Set Also you can
Tracking (of choice) cryptocurrencies' daily prices and moving average.
Crypto-price-moving_average Tracking (of choice) cryptocurrencies' daily prices and moving average. About Alpha Vantage The Alpha Vantage library (htt
A desktop application developed in Python with PyQt5 to predict demand and help monitor and schedule brewing processes for Barnaby's Brewhouse.
brewhouse-management A desktop application developed in Python with PyQt5 to predict demand and help monitor and schedule brewing processes for Barnab
Example how to deploy deep learning model with aiohttp.
aiohttp-demos Demos for aiohttp project. Contents Imagetagger Deep Learning Image Classifier URL shortener Toxic Comments Classifier Moderator Slack B
Predict if a fuse is usable on an appliance depending on the fuse rating
fuse-feasibility-analysis Predict if a fuse is usable on an appliance depending on the fuse rating , Power rating and resistance in the appliance
Scrapes the Sun Life of Canada Philippines web site for historical prices of their investment funds and then saves them as CSV files.
slocpi-scraper Sun Life of Canada Philippines Inc Investment Funds Scraper Install dependencies pip install -r requirements.txt Usage General format:
Use Fast Redirect to easily redirect your domains.
Fast Redirect Use Fast Redirect to easily redirect your domains. Fast Redirects expects a JSON 'database'. This JSON 'database' contains the domains t
A ch341dll Wrap is for using in Python 32bits windows to access I2C SPI and MDIO (by GPIO), and Demo with display PC sreen on OLED by i2c or SPI .
ch341dll_wrap_typcal_app A ch341dll Wrap is for using in Python 32bits windows to access I2C SPI and MDIO (by GPIO). In addition, I provided 3 Demo. I
Functions for easily making publication-quality figures with matplotlib.
Data-viz utils 📈 Functions for data visualization in matplotlib 📚 API Can be installed using pip install dvu and then imported with import dvu. You
A webcam-based 3x3x3 rubik's cube solver written in Python 3 and OpenCV.
Qbr Qbr, pronounced as Cuber, is a webcam-based 3x3x3 rubik's cube solver written in Python 3 and OpenCV. 🌈 Accurate color detection 🔍 Accurate 3x3x
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
Predict and time series avocado hass
RECOMMENDER SYSTEM MARKETING TỔNG QUAN VỀ HỆ THỐNG DỮ LIỆU 1. Giới thiệu - Tiki là một hệ sinh thái thương mại "all in one", trong đó có tiki.vn, là
securedb is a fast and lightweight Python framework to easily interact with JSON-based encrypted databases.
securedb securedb is a Python framework that lets you work with encrypted JSON databases. Features: newkey() to generate an encryption key write(key,
Working demo of the Multi-class and Anomaly classification model using the CLIP feature space
👁️ Hindsight AI: Crime Classification With Clip About For Educational Purposes Only This is a recursive neural net trained to classify specific crime
Download candlestick data fast & easy for analysis
crypto-candlesticks 📈 The goal behind this project is to facilitate downloading cryptocurrency candlestick data fast & simple. Currently only the Bit
Stock market bot that will be used to learn about API calls and database connections.
Stock market bot that will be used to learn about API calls and database connections.
Cryptocurrency Prices Telegram Bot For Python
Cryptocurrency Prices Telegram Bot How to Run Set your telegram bot token as environment variable TELEGRAM_BOT_TOKEN: export TELEGRAM_BOT_TOKEN=your_
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
A very tiny python api for the stock exchange tradegate.de
pytradegate A very tiny python api for the stock exchange tradegate.de The api provides the recent ask/bid data and all other data as found on the det
A program that uses an API and a AI model to get info of sotcks
Stock-Market-AI-Analysis I dont mind anyone using this code but please give me credit A program that uses an API and a AI model to get info of stocks
A foreign language learning aid using a neural network to predict probability of translating foreign words
Langy Langy is a reading-focused foreign language learning aid orientated towards young children. Reading is an activity that every child knows. It is
Predict an emoji that is associated with a text
Sentiment Analysis Sentiment analysis in computational linguistics is a general term for techniques that quantify sentiment or mood in a text. Can you
Demo processor to illustrate OCR-D Python API
ocrd_vandalize/ Demo processor to illustrate the OCR-D/core Python API Description :TODO: write docs :) Installation From PyPI pip3 install ocrd_vanda