3152 Repositories
Python House-Price-Prediction-Using-Linear-Regression Libraries
Fake News Detection Using Machine Learning Methods
Fake-News-Detection-Using-Machine-Learning-Methods Fake news is always a real and dangerous issue. However, with the presence and abundance of various
Object recognition using Azure Custom Vision AI and Azure Functions
Step by Step on how to create an object recognition model using Custom Vision, export the model and run the model in an Azure Function
This repo contains a small project i've done using PILLOW module in python
This repo contains a small project i've done using PILLOW module in python. I wrote an automated script which generates more than 5k+ unique nfts with 0 hassle in less time.
Paid roles for discord using Stripe, Python, Flask & Docker
Welcome to Paycord Paid roles for discord using Stripe, Python, Flask & Docker. Setup Production On stripe dashboard, go Developers ➡️ Webhooks ➡️ Add
YouTube Video publisher using youtube-dl & ROS2🐢
YouTube-publisher-ROS2 Publish sensor_msgs/Image by "YouTube" 🤗 🤗 🤗 ! You don't have to use webcamera or your video to check demos. Purpose Quick d
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 car learns to drive in a small 2D environment using the NEAT-Algorithm with Pygame
Self-driving-car-with-Pygame A car learns to drive in a small 2D environment using the NEAT-Algorithm with Pygame Description A car has 5 sensors ("ey
Code for ICCV 2021 paper Graph-to-3D: End-to-End Generation and Manipulation of 3D Scenes using Scene Graphs
Graph-to-3D This is the official implementation of the paper Graph-to-3d: End-to-End Generation and Manipulation of 3D Scenes Using Scene Graphs | arx
Labels4Free: Unsupervised Segmentation using StyleGAN
Labels4Free: Unsupervised Segmentation using StyleGAN ICCV 2021 Figure: Some segmentation masks predicted by Labels4Free Framework on real and synthet
Examples of how to create colorful, annotated equations in Latex using Tikz.
The file "eqn_annotate.tex" is the main latex file. This repository provides four examples of annotated equations: [example_prob.tex] A simple one ins
This is RFA-Toolbox, a simple and easy-to-use library that allows you to optimize your neural network architectures using receptive field analysis (RFA) and create graph visualizations of your architecture.
ReceptiveFieldAnalysisToolbox This is RFA-Toolbox, a simple and easy-to-use library that allows you to optimize your neural network architectures usin
Equivariant GNN for the prediction of atomic multipoles up to quadrupoles.
Equivariant Graph Neural Network for Atomic Multipoles Description Repository for the Model used in the publication 'Learning Atomic Multipoles: Predi
Web Scraping Instagram photos with Selenium by only using a hashtag.
Web-Scraping-Instagram This project is used to automatically obtain images by web scraping Instagram with Selenium in Python. The required input will
FDTD simulator that generates s-parameters from OFF geometry files using a GPU
Emport Overview This repo provides a FDTD (Finite Differences Time Domain) simulator called emport for solving RF circuits. Emport outputs its simulat
This repo includes some graph-based CTR prediction models and other representative baselines.
Graph-based CTR prediction This is a repository designed for graph-based CTR prediction methods, it includes our graph-based CTR prediction methods: F
Liver segmentation using MONAI and pytorch
Machine Learning use case in the field of Healthcare. In this project MONAI and pytorch frameworks are used for 3D Liver segmentation.
Exam Schedule Generator using Genetic Algorithm
Exam Schedule Generator using Genetic Algorithm Requirements Use any kind of crossover Choose any justifiable rate of mutation Use roulette wheel sele
Sentiment-Analysis and EDA on the IMDB Movie Review Dataset
Sentiment-Analysis and EDA on the IMDB Movie Review Dataset The main part of the work focuses on the exploration and study of different approaches whi
Better Giveaways is a bot that will change the experience of using a giveaway bot forever.
Better-Giveaways Better Giveaways is a bot that will change the experience of using a giveaway bot forever. VoxelBotUtils/Novus, latest PyPi releases
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%
Stats, linear algebra and einops for xarray
xarray-einstats Stats, linear algebra and einops for xarray ⚠️ Caution: This project is still in a very early development stage Installation To instal
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.
Create pinned requirements.txt inside a Docker image using pip-tools
Pin your Python dependencies! pin-requirements.py is a script that lets you pin your Python dependencies inside a Docker container. Pinning your depen
To Design and Implement Logistic Regression to Classify Between Benign and Malignant Cancer Types
To Design and Implement Logistic Regression to Classify Between Benign and Malignant Cancer Types, from a Database Taken From Dr. Wolberg reports his Clinic Cases.
Face uncertainty quantification or estimation using PyTorch.
Face-uncertainty-pytorch This is a demo code of face uncertainty quantification or estimation using PyTorch. The uncertainty of face recognition is af
Double pendulum simulator using a symplectic Euler's method and Hamiltonian mechanics
Symplectic Double Pendulum Simulator Double pendulum simulator using a symplectic Euler's method. The program calculates the momentum and position of
Doge-Prediction - Coding Club prediction ig
Doge-Prediction Coding Club prediction ig Basically: Create an application that
Pcos-prediction - Predicts the likelihood of Polycystic Ovary Syndrome based on patient attributes and symptoms
PCOS Prediction 🥼 Predicts the likelihood of Polycystic Ovary Syndrome based on
Designed a greedy algorithm based on Markov sequential decision-making process in MATLAB/Python to optimize using Gurobi solver
Designed a greedy algorithm based on Markov sequential decision-making process in MATLAB/Python to optimize using Gurobi solver, the wheel size, gear shifting sequence by modeling drivetrain constraints to achieve maximum laps in a race with a 2-hour time window.
Train Yolov4 using NBX-Jobs
yolov4-trainer-nbox Train Yolov4 using NBX-Jobs. Use the powerfull functionality available in nbox-SDK repo to train a tiny-Yolo v4 model on Pascal VO
MariaDB connector using python and flask
MariaDB connector using python and flask This should work with flask and to be deployed on docker. Setting up stuff 1. Docker build and run docker bui
Mapping a variable-length sentence to a fixed-length vector using BERT model
Are you looking for X-as-service? Try the Cloud-Native Neural Search Framework for Any Kind of Data bert-as-service Using BERT model as a sentence enc
Python Machine Learning Jupyter Notebooks (ML website)
Python Machine Learning Jupyter Notebooks (ML website) Dr. Tirthajyoti Sarkar, Fremont, California (Please feel free to connect on LinkedIn here) Also
Jupyter notebooks for using & learning Keras
deep-learning-with-keras-notebooks 這個github的repository主要是個人在學習Keras的一些記錄及練習。希望在學習過程中發現到一些好的資訊與範例也可以對想要學習使用 Keras來解決問題的同好,或是對深度學習有興趣的在學學生可以有一些方便理解與上手範例
A full featured game of falling pieces using python's pygame library.
A full featured game of falling shapes using python's pygame library. Key Features • How To Play • Download • Contributing • License Key Features Sing
Download and process GOES-16 and GOES-17 data from NOAA's archive on AWS using Python.
Download and display GOES-East and GOES-West data GOES-East and GOES-West satellite data are made available on Amazon Web Services through NOAA's Big
Exploratory Data Analysis of the 2019 Indian General Elections using a dataset from Kaggle.
2019-indian-election-eda Exploratory Data Analysis of the 2019 Indian General Elections using a dataset from Kaggle. This project is a part of the Cou
I explore rock vs. mine prediction using a SONAR dataset
I explore rock vs. mine prediction using a SONAR dataset. Using a Logistic Regression Model for my prediction algorithm, I intend on predicting what an object is based on supervised learning.
Mina - A Telegram Music Bot 5 mandatory Assistant written in Python using Pyrogram and Py-Tgcalls
Mina - A Telegram Music Bot 5 mandatory Assistant written in Python using Pyrogram and Py-Tgcalls
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
The GUI application by Python3.8. Using QT Design draw UI and generator UI XML file provides to PySide2 build GUI components
The GUI application by Python3.8. Using QT Design draw UI and generator UI XML file provides to PySide2 build GUI components. Total adopt OOD design class, service, and abstract class. OOP implemented this project.
To design and implement the Identification of Iris Flower species using machine learning using Python and the tool Scikit-Learn.
To design and implement the Identification of Iris Flower species using machine learning using Python and the tool Scikit-Learn.
Simple proxy scraper made by using ProxyScrape's api.
What is Moon? Moon is a lightweight and fast proxy scraper made by using ProxyScrape's api. What can i do with this? You can use proxies for varietys
Python implementation of MULTIseq barcode alignment using fuzzy string matching and GMM barcode assignment
Python implementation of MULTIseq barcode alignment using fuzzy string matching and GMM barcode assignment.
Anaglyph 3D Converter - A python script that adds a 3D anaglyph style effect to an image using the Pillow image processing package.
Anaglyph 3D Converter - A python script that adds a 3D anaglyph style effect to an image using the Pillow image processing package.
KivyPassword - A password generator using both Kivy framework and SQL in order to create a local database for users to generate strong passwords and store them
KivyPassword A password generator using both Kivy framework and SQL in order t
Simple Linear 2nd ODE Solver GUI - A 2nd constant coefficient linear ODE solver with simple GUI using euler's method
Simple_Linear_2nd_ODE_Solver_GUI Description It is a 2nd constant coefficient li
Simple Game created using Python & PyGame, as my Beginner Python Project!
Space Invaders This is a simple SPACE INVADER game create using PYGAME whihc have sound and lot's of keyboard functions. Prerequisites More Experience
A simple notebook to stream torrent files directly to Google Drive using Google Colab.
Colab-Torrent-to-Drive Originally by FKLC, this is a simple notebook to stream torrent files directly to Google Drive using Google Colab. You can eith
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
A tool to crack a wifi password with a help of wordlist
A tool to crack a wifi password with a help of wordlist. This may take long to crack a wifi depending upon number of passwords your wordlist contains. Also it is slower as compared to social media accounts cracking. I've made enough efforts to make it as fast as possible
A project to work with databases in 4 worksheets, insert, update, select, delete using Python and MySqI
A project to work with databases in 4 worksheets, insert, update, select, delete using Python and MySqI As a small project for school or college hope it is useful
A python crypto trading bot on Binance using RSI in 25 Lines 🚀
RSI Crypto Trading Bot - Binance A Crypto Trading Bot on Binance trading BTCUSDT and ETHUSDT using RSI in 25 Lines of Code Getting Started Note Python
Finite-temperature variational Monte Carlo calculation of uniform electron gas using neural canonical transformation.
CoulombGas This code implements the neural canonical transformation approach to the thermodynamic properties of uniform electron gas. Building on JAX,
Linear Variational State Space Filters
Linear Variational State Space Filters To set up the environment, use the provided scripts in the docker/ folder to build and run the codebase inside
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
This repository contains the code for designing risk bounded motion plans for car-like robot using Carla Simulator.
Nonlinear Risk Bounded Robot Motion Planning This code simulates the bicycle dynamics of car by steering it on the road by avoiding another static car
Classification of Long Sequential Data using Circular Dilated Convolutional Neural Networks
Classification of Long Sequential Data using Circular Dilated Convolutional Neural Networks arXiv preprint: https://arxiv.org/abs/2201.02143. Architec
The dynamics of representation learning in shallow, non-linear autoencoders
The dynamics of representation learning in shallow, non-linear autoencoders The package is written in python and uses the pytorch implementation to ML
R-package accompanying the paper "Dynamic Factor Model for Functional Time Series: Identification, Estimation, and Prediction"
dffm The goal of dffm is to provide functionality to apply the methods developed in the paper “Dynamic Factor Model for Functional Time Series: Identi
Repository for the AugmentedPCA Python package.
Overview This Python package provides implementations of Augmented Principal Component Analysis (AugmentedPCA) - a family of linear factor models that
Code release for "Detecting Twenty-thousand Classes using Image-level Supervision".
Detecting Twenty-thousand Classes using Image-level Supervision Detic: A Detector with image classes that can use image-level labels to easily train d
Specification language for generating Generalized Linear Models (with or without mixed effects) from conceptual models
tisane Tisane: Authoring Statistical Models via Formal Reasoning from Conceptual and Data Relationships TL;DR: Analysts can use Tisane to author gener
FEMDA: Robust classification with Flexible Discriminant Analysis in heterogeneous data
FEMDA: Robust classification with Flexible Discriminant Analysis in heterogeneous data. Flexible EM-Inspired Discriminant Analysis is a robust supervised classification algorithm that performs well in noisy and contaminated datasets.
Chess-commandline - Chess in the Command Line using the Chess Module Can detect Checkmates
chess-commandline Chess in the Command Line using the Chess Module Can detect Ch
Video lie detector using xgboost - A video lie detector using OpenFace and xgboost
video_lie_detector_using_xgboost a video lie detector using OpenFace and xgboost
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
Tictactoe py tkinter canvas - Tic Tac Toe written in Python 3 with tkinter mainly using canvas
Python 3 Tic Tac Toe with tkinter This is a tkinter version of my Tic Tac Toe ga
Qrgenerator - A qr generator app using python3
qrgenerator by Mal4D Hi welcome into qr code generator using python by Mal4d Lin
In this repo, I will put all the code related to data science using python libraries like Numpy, Pandas, Matplotlib, Seaborn and many more.
Python-for-DS In this repo, I will put all the code related to data science using python libraries like Numpy, Pandas, Matplotlib, Seaborn and many mo
Google Brain - Ventilator Pressure Prediction
Google Brain - Ventilator Pressure Prediction https://www.kaggle.com/c/ventilator-pressure-prediction The ventilator data used in this competition was
Two predictive attributes (Speed and Angle) and one attribute target (Power)
Two predictive attributes (Speed and Angle) and one attribute target (Power). A container crane has the function of transporting containers from one point to another point. The difficulty of this task lies in the fact that the container is connected to the bridge crane by cables causing an opening angle while the container is being transported, interfering with the operation at high speeds due to oscillation that occurs at the end point, which could cause accidents.
GANfolk: Using AI to create portraits of fictional people to sell as NFTs
GANfolk are AI-generated renderings of fictional people. Each image in the collection was created by a pair of Generative Adversarial Networks (GANs) with names and backstories also created with AI. The GANs were trained using portraits from artists like Renoir, Turner, and Modigliani in addition to open-source, modern photos.
Generating new names based on trends in data using GPT2 (Transformer network)
MLOpsNameGenerator Overall Goal The goal of the project is to develop a model that is capable of creating Pokémon names based on its description, usin
Python PID Tuner - Based on a FOPDT model obtained using a Open Loop Process Reaction Curve
PythonPID_Tuner Step 1: Takes a Process Reaction Curve in csv format - assumes data at 100ms interval (column names CV and PV) Step 2: Makes a rough e
Finding a method to objectively quantify skill expression in games, using reinforcement learning
Analyzing Skill Expression in Games This is a repo where I describe a method to measure the amount of skill expression games have. Table of Contents M
A practical ML pipeline for data labeling with experiment tracking using DVC.
Auto Label Pipeline A practical ML pipeline for data labeling with experiment tracking using DVC Goals: Demonstrate reproducible ML Use DVC to build a
Plotting points that lie on the intersection of the given curves using gradient descent.
Plotting intersection of curves using gradient descent Webapp Link --- What's the app about Why this app Plotting functions and their intersection. A
Implementation of a Transformer using ReLA (Rectified Linear Attention)
ReLA (Rectified Linear Attention) Transformer Implementation of a Transformer using ReLA (Rectified Linear Attention). It will also contain an attempt
FBChecker Account using python , package requests and web old facebook
fbcek FBChecker Account using python , package requests and web old facebook using python 3.x apt upgrade -y apt update -y pkg install bash -y pkg ins
Text classification on IMDB dataset using Keras and Bi-LSTM network
Text classification on IMDB dataset using Keras and Bi-LSTM Text classification on IMDB dataset using Keras and Bi-LSTM network. Usage python3 main.py
Sound-Equalizer- This is a Sound Equalizer GUI App Using Python's PyQt5
Sound-Equalizer- This is a Sound Equalizer GUI App Using Python's PyQt5. It gives you the ability to play, pause, and Equalize any one-channel wav audio file and play 3 different instruments.
Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).
Using Deep Q-Network to Learn How To Play Flappy Bird 7 mins version: DQN for flappy bird Overview This project follows the description of the Deep Q
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
Intro Real-time object detection and classification. Paper: version 1, version 2. Read more about YOLO (in darknet) and download weight files here. In
[CVPR 2020] 3D Photography using Context-aware Layered Depth Inpainting
[CVPR 2020] 3D Photography using Context-aware Layered Depth Inpainting [Paper] [Project Website] [Google Colab] We propose a method for converting a
This repo contains the implementation of YOLOv2 in Keras with Tensorflow backend.
Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).
🙄 Difficult algorithm, Simple code.
🎉TensorFlow2.0-Examples🎉! "Talk is cheap, show me the code." ----- Linus Torvalds Created by YunYang1994 This tutorial was designed for easily divin
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
Scraping Top Repositories for Topics on GitHub,
0.-Webscrapping-using-python Scraping Top Repositories for Topics on GitHub, Web scraping is the process of extracting and parsing data from websites
Implements a fake news detection program using classifiers.
Fake news detection Implements a fake news detection program using classifiers for Data Mining course at UoA. Description The project is the categoriz
A Python script that exports users from one Telegram group to another using one or more concurrent user bots.
ExportTelegramUsers A Python script that exports users from one Telegram group to another using one or more concurrent user bots. Make sure to set all
Discord bot that shows valorant your daily store by using the Ingame API
Valorant store checker - Discord Bot Discord bot that shows valorant your daily store by using the Ingame API. written using Python and the Pycord lib
Official Implementation for Fast Training of Neural Lumigraph Representations using Meta Learning.
Fast Training of Neural Lumigraph Representations using Meta Learning Project Page | Paper | Data Alexander W. Bergman, Petr Kellnhofer, Gordon Wetzst
Create QR Code for link using Python
Quick Response QR is short and named for a quick read from a cell phone. Used to view information from transitory media and put it on your cell phone.
This is a web scraper, using Python framework Scrapy, built to extract data from the Deals of the Day section on Mercado Livre website.
Deals of the Day This is a web scraper, using the Python framework Scrapy, built to extract data such as price and product name from the Deals of the
A fun, casual and strategic game made using Python!
Steve's Pixels A fun, casual and strategic game made using Python! Prerequisites See requirements.txt Demo video demo.mp4 Usage python -m steves_pixel
Snake (PyGame-based) port for Minecraft:Bedrock Edition using PEWSAPI
Snake_PEWSAPI Snake (PyGame-based) port for Minecraft:Bedrock Edition using PEWSAPI And we are not going to make any change to the original Snake sour
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
This is a boilerplate for a basic backend app using Python, Django and SQLite, as developed after tutorials with Programming with Mosh
This is a boilerplate for a basic backend app using Python, Django and SQLite, as developed after tutorials with Programming with Mosh