552 Repositories
Python How-to-Predict-Stock-Prices-Easily-Demo Libraries
Everything I needed to understand what was going on with "Spring4Shell" - translated source materials, exploit, links to demo apps, and more.
springcore-0day-en These are all my notes from the alleged confirmed! 0day dropped on 2022-03-29. This vulnerability is commonly referred to as "Sprin
JupyterLite demo deployed to GitHub Pages 🚀
JupyterLite Demo JupyterLite deployed as a static site to GitHub Pages, for demo purposes. ✨ Try it in your browser ✨ ➡️ https://jupyterlite.github.io
This repository contains all the data analytics projects that I've worked on in python.
93_Python_Data_Analytics_Projects This repository contains all the data analytics projects that I've worked on in python. No. Name 01 001_Cervical_Can
A pytorch &keras implementation and demo of Fastformer.
Fastformer Notes from the authors Pytorch/Keras implementation of Fastformer. The keras version only includes the core fastformer attention part. The
A python library to artfully visualize Factorio Blueprints and an interactive web demo for using it.
Factorio Blueprint Visualizer I love the game Factorio and I really like the look of factories after growing for many hours or blueprints after tweaki
Simple, Fast, Powerful and Easily extensible python package for extracting patterns from text, with over than 60 predefined Regular Expressions.
patterns-finder Simple, Fast, Powerful and Easily extensible python package for extracting patterns from text, with over than 60 predefined Regular Ex
Coreference resolution for English, French, German and Polish, optimised for limited training data and easily extensible for further languages
Coreferee Author: Richard Paul Hudson, Explosion AI 1. Introduction 1.1 The basic idea 1.2 Getting started 1.2.1 English 1.2.2 French 1.2.3 German 1.2
Easily pull telemetry data and create beautiful visualizations for analysis.
This repository is a work in progress. Anything and everything is subject to change. Porpo Table of Contents Porpo Table of Contents General Informati
Melissa Songs is a telegram bot to easily find songs sending music snippets and search tracks 💃🏽🎵
Find songs on Telegram, like on Shazam... 😎 Open on telegram · Report Bug · Request Feature ⬇️ Installation To get a local copy installed and working
The Most advanced and User-Friendly Google Collab NoteBook to download Torrent directly to Google Drive with File or Magnet Link support and with added protection of Timeout Preventer.
Torrent To Google Drive (UI Added! 😊 ) A Simple and User-Friendly Google Collab Notebook with UI to download Torrent to Google Drive using (.Torrent)
FastAPI-Amis-Admin is a high-performance, efficient and easily extensible FastAPI admin framework. Inspired by django-admin, and has as many powerful functions as django-admin.
简体中文 | English 项目介绍 FastAPI-Amis-Admin fastapi-amis-admin是一个拥有高性能,高效率,易拓展的fastapi管理后台框架. 启发自Django-Admin,并且拥有不逊色于Django-Admin的强大功能. 源码 · 在线演示 · 文档 · 文
DeepStruc is a Conditional Variational Autoencoder which can predict the mono-metallic nanoparticle from a Pair Distribution Function.
ChemRxiv | [Paper] XXX DeepStruc Welcome to DeepStruc, a Deep Generative Model (DGM) that learns the relation between PDF and atomic structure and the
Containerized Demo of Apache Spark MLlib on a Data Lakehouse (2022)
Spark-DeltaLake-Demo Reliable, Scalable Machine Learning (2022) This project was completed in an attempt to become better acquainted with the latest b
A Really Simple and Advanced Google Colab NoteBook to Setup and start using Rclone on Google Colab easily.
Rclone on Google Colab (Advanced!) 🔥 1.Setup and Start using Rclone on Google Colab and Create/Edit/View and delete your Rclone config file and keep
Demo notebooks for Qiskit application modules demo sessions (Oct 8 & 15):
qiskit-application-modules-demo-sessions This repo hosts demo notebooks for the Qiskit application modules demo sessions hosted on Qiskit YouTube. Par
GARCH and Multivariate LSTM forecasting models for Bitcoin realized volatility with potential applications in crypto options trading, hedging, portfolio management, and risk management
Bitcoin Realized Volatility Forecasting with GARCH and Multivariate LSTM Author: Chi Bui This Repository Repository Directory ├── README.md
Code for CVPR'2022 paper ✨ "Predict, Prevent, and Evaluate: Disentangled Text-Driven Image Manipulation Empowered by Pre-Trained Vision-Language Model"
PPE ✨ Repository for our CVPR'2022 paper: Predict, Prevent, and Evaluate: Disentangled Text-Driven Image Manipulation Empowered by Pre-Trained Vision-
StocksMA is a package to facilitate access to financial and economic data of Moroccan stocks.
Creating easier access to the Moroccan stock market data What is StocksMA ? StocksMA is a package to facilitate access to financial and economic data
This program creates a formatted excel file which highlights the undervalued stock according to Graham's number.
Over-and-Undervalued-Stocks Of Nepse Using Graham's Number Scrap the latest data using different websites and creates a formatted excel file that high
Plotly Dash Command Line Tools - Easily create and deploy Plotly Dash projects from templates
🛠️ dash-tools - Create and Deploy Plotly Dash Apps from Command Line | | | | | Create a templated multi-page Plotly Dash app with CLI in less than 7
One-line your code easily but still with the fun of doing so!
One-liner-iser One-line your code easily but still with the fun of doing so! Have YOU ever wanted to write one-line Python code, but don't have the sa
Attention-based CNN-LSTM and XGBoost hybrid model for stock prediction
Attention-based CNN-LSTM and XGBoost hybrid model for stock prediction Requirements The code has been tested running under Python 3.7.4, with the foll
In this project we predict the forest cover type using the cartographic variables in the training/test datasets.
Kaggle Competition: Forest Cover Type Prediction In this project we predict the forest cover type (the predominant kind of tree cover) using the carto
In this project, RandomOverSampler and SMOTE algorithms were used to perform oversampling, ClusterCentroids algorithm was used to undersampling, SMOTEENN algorithm was applied as a combinatorial approach of over- and undersampling of credit card credit dataset from LendingClub. Machine learning models - BalancedRandomForestClassifier and EasyEnsembleClassifier were used to predict credit risk.
Overview of Credit Card Analysis In this project, RandomOverSampler and SMOTE algorithms were used to perform oversampling, ClusterCentroids algorithm
Group project for MFIN7036. Our goal is to predict firm profitability with text-based competition measures.
NLP_0-project Group project for MFIN7036. Our goal is to predict firm profitability with text-based competition measures1. We are a "democratic" and c
The tool under this branch fork can be used to crack devices above A12 and up to A15. After cracking, you can also use SSH channel strong opening tool to open SSH channel and activate it with Demo or Shell script. The file can be extracted from my Github homepage, and the SSH channel opening tool can be extracted from Dr238 account.
Welcome to C0xy-A12-A15-Attack-Tool The tool under this branch fork can be used to crack devices above A12 and up to A15. After cracking, you can also
Easily display all of your creative avatars to keep them consistent across websites.
PyAvatar Easily display all of your creative avatars to keep them consistent across websites. Key Features • Download • How To Use • Support • Contrib
Tuple-sum-filter - Library to play with filtering numeric sequences by sums of their pairs, triplets, etc. With a bonus CLI demo
Tuple Sum Filter A library to play with filtering numeric sequences by sums of t
Diabetes-Feature-Engineering - A machine learning model that can predict whether people have diabetes when their characteristics are specified
Diabetes-Feature-Engineering Aim Developing a machine learning model that can pr
SongLink Discord Bot - Discord bot to share music links easily
SongLink_Discord_Bot Discord bot to share music links easily. Take a link from y
A model to predict steering torque fully end-to-end
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
Predict the income for each percentile of the population (Python) - FRENCH
05.income-prediction Predict the income for each percentile of the population (Python) - FRENCH Effectuez une prédiction de revenus Prérequis Pour ce
Predict the demand for electricity (R) - FRENCH
06.demand-electricity Predict the demand for electricity (R) - FRENCH Prédisez la demande en électricité Prérequis Pour effectuer ce projet, vous devr
Dashboard to view a stock's basic information, RSI, Bollinger bands, EMA, SMA, sentiment analysis via Python
Your One And Only Trading Bot No seriously, we mean it! Contributors Jihad Al-Hussain John Gaffney Shanel Kuchera Kazuki Takehashi Patrick Thornquist
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.
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
Easily handle day to day CLI operation via Python instead of regular Bash programs.
pz Ever wished to use Python in Bash? Would you choose the Python syntax over sed, awk, ...? Should you exactly know what command would you use in Pyt
Stock game is a python program that simulates real-life stock marketing, saving, and investments
Stock game is a python program that simulates real-life stock marketing, saving, and investments. Users get to trade and manage their portfolio and manage their 100,000 dollar portfolio.
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
A demo project to elaborate how Machine Learn Models are deployed on production using Flask API
This is a salary prediction website developed with the help of machine learning, this makes prediction of salary on basis of few parameters like interview score, experience test score.
IEEE-CIS Technical Challenge on Predict+Optimize for Renewable Energy Scheduling
IEEE-CIS Technical Challenge on Predict+Optimize for Renewable Energy Scheduling This is my code, data and approach for the IEEE-CIS Technical Challen
This repository provides some codes to demonstrate several variants of Markov-Chain-Monte-Carlo (MCMC) Algorithms.
Demo-of-MCMC These files are based on the class materials of AEROSP 567 taught by Prof. Alex Gorodetsky at University of Michigan. Author: Hung-Hsiang
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.
Predict bus arrival time using VertexAI and Nvidia's Jetson Nano
bus_prediction predict bus arrival time using VertexAI and Nvidia's Jetson Nano imagenet the command for imagenet.py look like this python3 /path/to/i
Machine learning classifiers to predict American Sign Language .
ASL-Classifiers American Sign Language (ASL) is a natural language that serves as the predominant sign language of Deaf communities in the United Stat
A template / demo bot for the Halcyon matrix bot library
Halcyon stock bot Hello! This is an example / template bot using the halcyon matrix bot library. Feel free to ask questions in the matrix chat #halcyo
SuperSonic, a new open-source framework to allow compiler developers to integrate RL into compilers easily, regardless of their RL expertise
Automating reinforcement learning architecture design for code optimization. Che
Machine Learning Models were applied to predict the mass of the brain based on gender, age ranges, and head size.
Brain Weight in Humans Variations of head sizes and brain weights in humans Kaggle dataset obtained from this link by Anubhab Swain. Image obtained fr
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.
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.
A functional demo of the O365 Module to send an email on an authenticated, tokenized account.
O365_email A functional demo of the O365 Module to send an email on an authenticated, tokenized account. Prep Create an app in Azure Developer's porta
Based on the given clinical dataset, Predict whether the patient having Heart Disease or Not having Heart Disease
Heart_Disease_Classification Based on the given clinical dataset, Predict whether the patient having Heart Disease or Not having Heart Disease Dataset
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
Senator Trades Monitor
Senator Trades Monitor This monitor will grab the most recent trades by senators and send them as a webhook to discord. Installation To use the monito
Repository for the Demo of using DVC with PyCaret & MLOps (DVC Office Hours - 20th Jan, 2022)
Using DVC with PyCaret & FastAPI (Demo) This repo contains all the resources for my demo explaining how to use DVC along with other interesting tools
clustering moroccan stocks time series data using k-means with dtw (dynamic time warping)
Moroccan Stocks Clustering Context Hey! we don't always have to forecast time series am I right ? We use k-means to cluster about 70 moroccan stock pr
Search stock images (e.g. via Unsplash) and save them to your Wagtail image library.
Wagtail Stock Images Search stock images (e.g. via Unsplash) and save them to your Wagtail image library. Requirements Python 3 Django = 2 Wagtail =
Django Serverless Cron - Run cron jobs easily in a serverless environment
Django Serverless Cron - Run cron jobs easily in a serverless environment
This repository contains the raw data and a python notebook to ingest historical A&E attendance data and then use a simple Prophet model to predict the number of A&E attendances in England if the COVID-19 pandemic had not happened
ae_attendances_modelling This repository contains the raw data and a python notebook to ingest historical A&E attendance data and then use a simple Pr
CoINN: Correlated-informed neural networks: a new machine learning framework to predict pressure drop in micro-channels
CoINN: Correlated-informed neural networks: a new machine learning framework to predict pressure drop in micro-channels Accurate pressure drop estimat
Learning to Predict Gradients for Semi-Supervised Continual Learning
Learning to Predict Gradients for Semi-Supervised Continual Learning Code for project: "Learning to Predict Gradients for Semi-Supervised Continual Le
Weaviate demo with the text2vec-openai module
Weaviate demo with the text2vec-openai module This repository contains an example of how to use the Weaviate text2vec-openai module. When using this d
Predict the spans of toxic posts that were responsible for the toxic label of the posts
toxic-spans-detection An attempt at the SemEval 2021 Task 5: Toxic Spans Detection. The Toxic Spans Detection task of SemEval2021 required participant
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 projects provides the documentation and the automation(code) for the Oracle EMEA WLA COA Demo UseCase.
COA DevOps Training UseCase This projects provides the documentation and the automation(code) for the Oracle EMEA WLA COA Demo UseCase. Demo environme
MGE-GraphQL is a Python library for building GraphQL mutations fast and easily
MGE-GraphQL Introduction MGE-GraphQL is a Python library for building GraphQL mutations fast and easily. Data Validations: A similar data validation w
Obtain a GNSS position fix from an 11-millisecond raw GNSS signal snapshot
Obtain a GNSS position fix from an 11-millisecond raw GNSS signal snapshot without any prior knowledge about the position of the receiver and only coarse knowledge about the time.
BERTopic is a topic modeling technique that leverages 🤗 transformers and c-TF-IDF to create dense clusters allowing for easily interpretable topics whilst keeping important words in the topic descriptions
BERTopic BERTopic is a topic modeling technique that leverages 🤗 transformers and c-TF-IDF to create dense clusters allowing for easily interpretable
A Django web application that shortens long URLs. This is a demo project to show off my tech abilities.
Django URL Shortener This project is just a complete and production-ready URL shortener web application to show off my tech and coding abilities. Impo
Equipped customers with insights about their EVs Hourly energy consumption and helped predict future charging behavior using LSTM model
Equipped customers with insights about their EVs Hourly energy consumption and helped predict future charging behavior using LSTM model. Designed sample dashboard with insights and recommendation for customers.
DEMO SOCKET AF INET SSL PYTHON
DEMO_SOCKET_AF_INET_SSL_PYTHON Python demo of socket family as AF_INET using TCP with SSL. Compatibility : macOS & GNU/Linux Network Topology style :
A library to easily convert climbing route grades between different grading systems.
pyclimb A library to easily convert climbing route grades between different grading systems. In rock climbing, mountaineering, and other climbing disc
A Python script that alerts via SMS when a stock is reaching an inflection point
TradeAlert Not sure what this will ultimately become, but for now, its a Python script that alerts via SMS when a stock is reaching an inflection poin
Currency And Gold Prices - Currency And Gold Prices For Python
Currency_And_Gold_Prices Photos from the app New Update Show range Change better
Equibles Stocks API for Python
Equibles Stocks API for Python Requirements. Python 2.7 and 3.4+ Installation & Usage pip install If the python package is hosted on Github, you can i
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
This is an analysis and prediction project for house prices in King County, USA based on certain features of the house
This is a project for analysis and estimation of House Prices in King County USA The .csv file contains the data of the house and the .ipynb file con
Homed - Light-weight, easily configurable, dockerized homepage
homed GitHub Repo Docker Hub homed is a light-weight customizable portal primari
Used Logistic Regression, Random Forest, and XGBoost to predict the outcome of Search & Destroy games from the Call of Duty World League for the 2018 and 2019 seasons.
Call of Duty World League: Search & Destroy Outcome Predictions Growing up as an avid Call of Duty player, I was always curious about what factors led
Predict multi paths to a moving person depending on his trajectory history.
Multi-future Trajectory Prediction The project is about using the Multiverse model to make possible multible-future trajectory prediction for a seen p
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
Dependency injection in python with autoconfiguration
The base is a DynamicContainer to autoconfigure services using the decorators @services for regular services and @command_handler for using command pattern.
A stock generator that assess a list of stocks and returns the best stocks for investing and money allocations based on users choices of volatility, duration and number of stocks
Stock-Generator Please visit "Stock Generator.ipynb" for a clearer view and "Stock Generator.py" for scripts. The stock generator is designed to allow
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
Mercury: easily convert Python notebook to web app and share with others
Mercury Share your Python notebooks with others Easily convert your Python notebooks into interactive web apps by adding parameters in YAML. Simply ad
This is a demo app to be used in the video streaming applications
MoViDNN: A Mobile Platform for Evaluating Video Quality Enhancement with Deep Neural Networks MoViDNN is an Android application that can be used to ev
An API that uses NLP and AI to let you predict possible diseases and symptoms based on a prompt of what you're feeling.
Disease detection API for MediSearch An API that uses NLP and AI to let you predict possible diseases and symptoms based on a prompt of what you're fe
Project dự đoán giá cổ phiếu bằng thuật toán LSTM gồm: code train và code demo
Web predicts stock prices using Long - Short Term Memory algorithm Give me some start please!!! User interface image: Choose: DayBegin, DayEnd, Stock
A machine learning project which can detect and predict the skin disease through image recognition.
ML-Project-2021 A machine learning project which can detect and predict the skin disease through image recognition. The dataset used for this is the H
Diabet Feature Engineering - Predict whether people have diabetes when their characteristics are specified
Diabet Feature Engineering - Predict whether people have diabetes when their characteristics are specified
PTV is a useful widget for trading view for doing paper trading when bar reply is enabled
PTV is a useful widget for trading view for doing paper trading when bar reply is enabled.(this feature did not implement in trading view)
This is a demo for AAD algorithm.
Asynchronous-Anisotropic-Diffusion-Algorithm This is a demo for AAD algorithm. The subroutine of the anisotropic diffusion algorithm is modified from
Cryptocurrency Prediction with Artificial Intelligence (Deep Learning via LSTM Neural Networks)
Cryptocurrency Prediction with Artificial Intelligence (Deep Learning via LSTM Neural Networks)- Emirhan BULUT
Stock-Prediction - prediction of stock market movements using sentiment analysis and deep learning.
Stock-Prediction- In this project, we aim to enhance the prediction of stock market movements using sentiment analysis and deep learning. We divide th
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.
Text mining project; Using distilBERT to predict authors in the classification task authorship attribution.
DistilBERT-Text-mining-authorship-attribution Dataset used: https://www.kaggle.com/azimulh/tweets-data-for-authorship-attribution-modelling/version/2
A webdav demo using a virtual filesystem that serves a random status of whether a cat in a box is dead or alive.
A webdav demo using a virtual filesystem that serves a random status of whether a cat in a box is dead or alive.
Predict the Site EUI, given the characteristics of the building and the weather data for the location of the building.
wids_datathon_2022 Description: Contains a data pipeline used to predict energy EUI Goals: Dataset exploration Automating the parameter fitting, gener
Coded in Python 3 - I make for education, easily clone simple website.
Simple Website Cloner - Single Page Coded in Python 3 - I make for education, easily clone simple website. How to use ? Install Python 3 first. Instal