5497 Repositories
Python SERIAL-DATA-ACQUISITION-IN-A-IOT-SYSTEM-USING-MUX Libraries
This jupyter notebook project was completed by me and my friend using the dataset from Kaggle
ARM This jupyter notebook project was completed by me and my friend using the dataset from Kaggle. The world Happiness 2017, which ranks 155 countries
CS50 pset9: Using flask API to create a web application to exchange stocks' shares.
C$50 Finance In this guide we want to implement a website via which users can “register”, “login” “buy” and “sell” stocks, like below: Background If y
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.
A deep neural networks for images using CNN algorithm.
Example-CNN-Project This is a simple project showing how to implement deep neural networks using CNN algorithm. The dataset is taken from this link: h
A Celery application to collect data, download media and extract information from social media APIs
Project IBEX A Celery application to collect data, download media and extract information from social media APIs. Requirements You must have a Redis D
In this project we will implement AirBnB clone using console
AirBnB Clone In this project we will implement AirBnB clone using console. Usage The shell should work like this
Send e-mails to teachers with specified school-website using Aula, anonymously
Information : This only works in Denmark! Send e-mails to teachers with specified school-website using Aula, anonymously. Find your school via the att
Controlling a game using mediapipe hand tracking
These scripts use the Google mediapipe hand tracking solution in combination with a webcam in order to send game instructions to a racing game. It features 2 methods of control
Data processing with Pandas.
Processing-data-with-python This is a simple example showing how to use Pandas to create a dataframe and the processing data with python. The jupyter
Nobel Data Analysis
Nobel_Data_Analysis This project is for analyzing a set of data about people who have won the Nobel Prize in different fields and different countries
Investigating EV charging data
Investigating EV charging data Introduction: Got an opportunity to work with a home monitoring technology company over the last 6 months whose goal wa
Analyze the Gravitational wave data stored at LIGO/VIRGO observatories
Gravitational-Wave-Analysis This project showcases how to analyze the Gravitational wave data stored at LIGO/VIRGO observatories, using Python program
Decision tree is the most powerful and popular tool for classification and prediction
Diabetes Prediction Using Decision Tree Introduction Decision tree is the most powerful and popular tool for classification and prediction. A Decision
This project generates news headlines using a Long Short-Term Memory (LSTM) neural network.
News Headlines Generator bunnysaini/Generate-Headlines Goal This project aims to generate news headlines using a Long Short-Term Memory (LSTM) neural
Verify your Accounts by Tempphone using this Discordbot
Verify your Accounts by Tempphone using this Discordbot 5sim.net is a service, that offer you temp phonenumbers for otp verification. It include a lot
This python script allows you to manipulate the audience data from Sl.ido surveys
Slido-Automated-VoteBot This python script allows you to manipulate the audience data from Sl.ido surveys Since Slido blocks interference from automat
Laporan Proyek Machine Learning - Azhar Rizki Zulma
Laporan Proyek Machine Learning - Azhar Rizki Zulma Project Overview Domain proyek yang dipilih dalam proyek machine learning ini adalah mengenai hibu
Efficient Multi Collection Style Transfer Using GAN
Proposed a new model that can make style transfer from single style image, and allow to transfer into multiple different styles in a single model.
Human Detection - Pedestrian Detection using OpenCV Python
Pedestrian Detection using OpenCV Python Follow us on Instagram for Machine Lear
Cormen-Lib - An academic tool for data structures and algorithms courses
The Cormen-lib module is an insular data structures and algorithms library based on the Thomas H. Cormen's Introduction to Algorithms Third Edition. This library was made specifically for administering and grading assignments related to data structure and algorithms in computer science.
Iss-tracker - ISS tracking script in python using NASA's API
ISS Tracker Tracking International Space Station using NASA's API and plotting i
Collapse by Conditioning: Training Class-conditional GANs with Limited Data
Collapse by Conditioning: Training Class-conditional GANs with Limited Data Moha
Lambda-function - Python codes that allow notification of changes made to some services using the AWS Lambda Function
AWS Lambda Function This repository contains python codes that allow notificatio
ChatBot-Pytorch - A GPT-2 ChatBot implemented using Pytorch and Huggingface-transformers
ChatBot-Pytorch A GPT-2 ChatBot implemented using Pytorch and Huggingface-transf
Talon accessibility - Experimental Talon integrations using macOS accessibility APIs
talon_accessibility Experimental Talon integrations using macOS accessibility AP
TetrisAI - Tetris AI Bot using computer vision to play game automatically
Tetris AI Tetris AI Bot using computer vision to play game automatically bot.py
Python Projects - Few Python projects with Testing using Pytest
Python_Projects Few Python projects : Fast_API_Docker_PyTest- Just a simple auto
GoogleFormSpammer - A simple CLI script to spam Google Forms used by Crypto Wallet scammers to collect stolen data
GoogleFormSpammer - A simple CLI script to spam Google Forms used by Crypto Wallet scammers to collect stolen data
Aula-API - a school system widely used in Denmark, as you can see and read about in the python file
Information : Hello, thank you for reading this first of all. This is a Aula-API
The project's goal is to show a real world application of image segmentation using k means algorithm
The project's goal is to show a real world application of image segmentation using k means algorithm
BeeDrive: Open Source Privacy File Transfering System for Teams and Individual Developers
BeeDrive For privacy and convenience purposes, more and more people try to keep data on their own hardwires instead of third-party cloud services such
Keras Image Embeddings using Contrastive Loss
Image to Embedding projection in vector space. Implementation in keras and tensorflow of batch all triplet loss for one-shot/few-shot learning.
This is a Poetry plugin that will make it possible to build projects using custom TOML files
Poetry Multiproject Plugin This is a Poetry plugin that will make it possible to build projects using custom TOML files. This is especially useful whe
Send song lyrics to iMessage users using the Genius lyrics API
pyMessage Send song lyrics to iMessage users using the Genius lyrics API. Setup 1.) Open the main.py file, and add your API key on line 7. 2.) Install
Implement the Perspective open source code in preparation for data visualization
Task Overview | Installation Instructions | Link to Module 2 Introduction Experience Technology at JP Morgan Chase Try out what real work is like in t
A simple bot which using an API , detects reported discord scams and kicks the user if possible while deleting the message
A simple bot which using an API , detects reported discord scams and kicks the user if possible while deleting the message
PostQF is a user-friendly Postfix queue data filter which operates on data produced by postqueue -j.
PostQF Copyright © 2022 Ralph Seichter PostQF is a user-friendly Postfix queue data filter which operates on data produced by postqueue -j. See the ma
Synthetic data need to preserve the statistical properties of real data in terms of their individual behavior and (inter-)dependences
Synthetic data need to preserve the statistical properties of real data in terms of their individual behavior and (inter-)dependences. Copula and functional Principle Component Analysis (fPCA) are statistical models that allow these properties to be simulated (Joe 2014). As such, copula generated data have shown potential to improve the generalization of machine learning (ML) emulators (Meyer et al. 2021) or anonymize real-data datasets (Patki et al. 2016).
An easy-to-use feature store
A feature store is a data storage system for data science and machine-learning. It can store raw data and also transformed features, which can be fed straight into an ML model or training script.
Learn Basic to advanced level Data visualisation techniques from this Repository
Data visualisation Hey, You can learn Basic to advanced level Data visualisation techniques from this Repository. Data visualization is the graphic re
ParaMonte is a serial/parallel library of Monte Carlo routines for sampling mathematical objective functions of arbitrary-dimensions
ParaMonte is a serial/parallel library of Monte Carlo routines for sampling mathematical objective functions of arbitrary-dimensions, in particular, the posterior distributions of Bayesian models in data science, Machine Learning, and scientific inference, with the design goal of unifying the automation (of Monte Carlo simulations), user-friendliness (of the library), accessibility (from multiple programming environments), high-performance (at runtime), and scalability (across many parallel processors).
Create charts with Python in a very similar way to creating charts using Chart.js
Create charts with Python in a very similar way to creating charts using Chart.js. The charts created are fully configurable, interactive and modular and are displayed directly in the output of the the cells of your jupyter notebook environment.
visualize_ML is a python package made to visualize some of the steps involved while dealing with a Machine Learning problem
visualize_ML visualize_ML is a python package made to visualize some of the steps involved while dealing with a Machine Learning problem. It is build
Real life contra a deep learning project built using mediapipe and openc
real-life-contra Description A python script that translates the body movement into in game control. Welcome to all new real life contra a deep learni
Face and other object detection using OpenCV and ML Yolo
Object-and-Face-Detection-Using-Yolo- Opencv and YOLO object and face detection is implemented. You only look once (YOLO) is a state-of-the-art, real-
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
Linux GUI app to codon optimize many single-fasta files with coding sequences , using many taxonomy ids
codon_optimize_cds_with_many_taxids_singlefasta Linux GUI app to codon optimize many single-fasta files with coding sequences, using many taxonomy ids
Microllect - Fully automated btc wallet hack,using advanced protocols
Microllect - Fully automated btc wallet hack,using advanced protocols
Telegram Group Manager Bot Written In Python Using Pyrogram.
──「𝐂𝐡𝐢𝐤𝐚 𝐅𝐮𝐣𝐢𝐰𝐚𝐫𝐚」── Telegram Group Manager Bot Written In Python Using Pyrogram. Deploy To Heroku NOTE: I'm making this note to whoever
A program that makes all 47 textures of Optifine CTM only using 2 textures
A program that makes all 47 textures of Optifine CTM only using 2 textures
A server and client for passing data between computercraft computers/turtles across dimensions or even servers.
ccserver A server and client for passing data between computercraft computers/turtles across dimensions or even servers. pastebin get zUnE5N0v client
Keras Image Embeddings using Contrastive Loss
Keras-Image-Embeddings-using-Contrastive-Loss Image to Embedding projection in vector space. Implementation in keras and tensorflow for custom data. B
Feature engineering and machine learning: together at last
Feature engineering and machine learning: together at last! Lambdo is a workflow engine which significantly simplifies data analysis by unifying featu
INFO-H515 - Big Data Scalable Analytics
INFO-H515 - Big Data Scalable Analytics Jacopo De Stefani, Giovanni Buroni, Théo Verhelst and Gianluca Bontempi - Machine Learning Group Exercise clas
This module is used to create Convolutional AutoEncoders for Variational Data Assimilation
VarDACAE This module is used to create Convolutional AutoEncoders for Variational Data Assimilation. A user can define, create and train an AE for Dat
This is a learning tool and exploration app made using the Dash interactive Python framework developed by Plotly
Support Vector Machine (SVM) Explorer This app has been moved here. This repo is likely outdated and will not be updated. This is a learning tool and
Tutorials, examples, collections, and everything else that falls into the categories: pattern classification, machine learning, and data mining
**Tutorials, examples, collections, and everything else that falls into the categories: pattern classification, machine learning, and data mining.** S
Perform sentiment analysis on textual data that people generally post on websites like social networks and movie review sites.
Sentiment Analyzer The goal of this project is to perform sentiment analysis on textual data that people generally post on websites like social networ
Sentiment Classification using WSD, Maximum Entropy & Naive Bayes Classifiers
Sentiment Classification using WSD, Maximum Entropy & Naive Bayes Classifiers
Dive into Machine Learning
Dive into Machine Learning Hi there! You might find this guide helpful if: You know Python or you're learning it 🐍 You're new to Machine Learning You
TensorDebugger (TDB) is a visual debugger for deep learning. It extends TensorFlow with breakpoints + real-time visualization of the data flowing through the computational graph
TensorDebugger (TDB) is a visual debugger for deep learning. It extends TensorFlow (Google's Deep Learning framework) with breakpoints + real-time visualization of the data flowing through the computational graph.
Python for Data Analysis, 2nd Edition
Python for Data Analysis, 2nd Edition Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media Buy
INF42 - Topological Data Analysis
TDA INF421(Conception et analyse d'algorithmes) Projet : Topological Data Analysis SphereMin Etant donné un nuage des points, ce programme contient de
⏲️ 📙 Animedoro Timer made using tkinter in python
Animedoro Timer ⏲️ 📙 version- 1️⃣ . 0️⃣ . 0️⃣ Hey ! did you ever feel bad for not concentarting enough? , it's not you're mistake, there is a flaw in
Demonstrate the breadth and depth of your data science skills by earning all of the Databricks Data Scientist credentials
Data Scientist Learning Plan Demonstrate the breadth and depth of your data science skills by earning all of the Databricks Data Scientist credentials
sequitur is a library that lets you create and train an autoencoder for sequential data in just two lines of code
sequitur sequitur is a library that lets you create and train an autoencoder for sequential data in just two lines of code. It implements three differ
Python script that reads Aliexpress offers urls from a Excel filename (.csv) and post then in a Telegram channel using a bot
Aliexpress to telegram post Python script that reads Aliexpress offers urls from a Excel filename (.csv) and post then in a Telegram channel using a b
Google AI Open Images - Object Detection Track: Open Solution
Google AI Open Images - Object Detection Track: Open Solution This is an open solution to the Google AI Open Images - Object Detection Track 😃 More c
TGS Salt Identification Challenge
TGS Salt Identification Challenge This is an open solution to the TGS Salt Identification Challenge. Note Unfortunately, we can no longer provide supp
Airbus Ship Detection Challenge
Airbus Ship Detection Challenge This is an open solution to the Airbus Ship Detection Challenge. Our goals We are building entirely open solution to t
Gallery of applications built using bqplot and widget libraries like ipywidgets, ipydatagrid etc.
bqplot Gallery This is a gallery of bqplot examples. View the gallery at https://bqplot.github.io/bqplot-gallery. Contributing new examples Clone this
Cereal box identification in store shelves using computer vision and a single train image per model.
Product Recognition on Store Shelves Description You can read the task description here. Report You can read and download our report here. Step A - Mu
A competition for forecasting electricity demand at the country-level using a standard backtesting framework
A competition for forecasting electricity demand at the country-level using a standard backtesting framework
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
Python Sreamlit Duplicate Records Finder Remover
Python-Sreamlit-Duplicate-Records-Finder-Remover Streamlit is an open-source Python library that makes it easy to create and share beautiful, custom w
In this project, we'll be making our own screen recorder in Python using some libraries.
Screen Recorder in Python Project Description: In this project, we'll be making our own screen recorder in Python using some libraries. Requirements:
This is a repository for a task assigned to me by Bilateral solutions!
Processing-Files-using-MySQL This is a repository for a task assigned to me by Bilateral solutions! Task: Make Folders named Processing,queue and proc
Program that predicts the NBA mvp based on data from previous years.
NBA MVP Predictor A machine learning model using RandomForest Regression that predicts NBA MVP's using player data. Explore the docs » View Demo · Rep
LCG T-TEST USING EUCLIDEAN METHOD
This project has been created for statistical usage, purposing for determining ATL takers and nontakers using LCG ttest and Euclidean Method, especially for internal business case in Telkomsel.
Simple Translator in Python
Simple Translator in Python Project Description: In this project, we'll be making a very simple translator in Python using some libraries. Requirement
SAS output to EXCEL converter for Cornell/MIT Language and acquisition lab
CORNELLSASLAB SAS output to EXCEL converter for Cornell/MIT Language and acquisition lab Instructions: This python code can be used to convert SAS out
Chess Game using Python
Chess Game is a single-player game where the objective is same as the original chess game. You just need to place your chess piece in a correct position. The purpose of the system is to provide some past time with your friends.
Open solution to the Toxic Comment Classification Challenge
Starter code: Kaggle Toxic Comment Classification Challenge More competitions 🎇 Check collection of public projects 🎁 , where you can find multiple
dbd is a database prototyping tool that enables data analysts and engineers to quickly load and transform data in SQL databases.
dbd: database prototyping tool dbd is a database prototyping tool that enables data analysts and engineers to quickly load and transform data in SQL d
Data-driven Computer Science UoB
COMS20011_2021 Data-driven Computer Science UoB Staff Laurence Aitchison [[email protected]] (unit director) Majid Mirmehdi [m.mirmehdi
Colab notebook and additional materials for Python-driven analysis of redlining data in Philadelphia
RedliningExploration The Google Colaboratory file contained in this repository contains work inspired by a project on educational inequality in the Ph
Some experiments with tennis player aging curves using Hilbert space GPs in PyMC. Only experimental for now.
NOTE: This is still being developed! Setup notes This document uses Jeff Sackmann's tennis data. You can obtain it as follows: git clone https://githu
An interactive App to play with Spotify data, both from the Spotify Web API and from CSV datasets.
An interactive App to play with Spotify data, both from the Spotify Web API and from CSV datasets.
Two types of Recommender System : Content-based Recommender System and Colaborating filtering based recommender system
Recommender-Systems Two types of Recommender System : Content-based Recommender System and Colaborating filtering based recommender system So the data
Airborne magnetic data of the Osborne Mine and Lightning Creek sill complex, Australia
Osborne Mine, Australia - Airborne total-field magnetic anomaly This is a section of a survey acquired in 1990 by the Queensland Government, Australia
This a classic fintech problem that introduces real life difficulties such as data imbalance. Check out the notebook to find out more!
Credit Card Fraud Detection Introduction Online transactions have become a crucial part of any business over the years. Many of those transactions use
Implementing a simplified copy of Shazam application from scratch using MinHashing and LSH.
Building Shazam from scratch In this repository we tried to implement a simplified copy of the Shazam application able to tell you the name of a song
Script to calculate Active Directory Kerberos keys (AES256 and AES128) for an account, using its plaintext password
Script to calculate Active Directory Kerberos keys (AES256 and AES128) for an account, using its plaintext password
LavaAPI - A simple library for accepting payments and using the LAVA Wallet
This library was created to simplify the LAVA api provided on the official websi
Image Captioning on google cloud platform based on iot
Image-Captioning-on-google-cloud-platform-based-on-iot - Image Captioning on google cloud platform based on iot
Predicting Keystrokes using an Audio Side-Channel Attack and Machine Learning
Predicting Keystrokes using an Audio Side-Channel Attack and Machine Learning My
Yolov5-opencv-cpp-python - Example of using ultralytics YOLO V5 with OpenCV 4.5.4, C++ and Python
yolov5-opencv-cpp-python Example of performing inference with ultralytics YOLO V
FFCV: Fast Forward Computer Vision (and other ML workloads!)
Fast Forward Computer Vision: train models at a fraction of the cost with accele
It's the assignment 1 from the Python 2 course, that requires a ToDoApp with authentication using Django
It's the assignment 1 from the Python 2 course, that requires a ToDoApp with authentication using Django
ServiceX Transformer that converts flat ROOT ntuples into columnwise data
ServiceX_Uproot_Transformer ServiceX Transformer that converts flat ROOT ntuples into columnwise data Usage You can invoke the transformer from the co