3027 Repositories
Python Diabetes-Prediction-Using-Decision-Tree Libraries
This code is for our paper "VTGAN: Semi-supervised Retinal Image Synthesis and Disease Prediction using Vision Transformers"
ICCV Workshop 2021 VTGAN This code is for our paper "VTGAN: Semi-supervised Retinal Image Synthesis and Disease Prediction using Vision Transformers"
Cervix ROI Segmentation Using U-NET
Cervix ROI Segmentation Using U-NET Overview This code illustrate how to segment the ROI in cervical images using U-NET. The ROI here meant to include
Lung Pattern Classification for Interstitial Lung Diseases Using a Deep Convolutional Neural Network
ild-cnn This is supplementary material for the manuscript: "Lung Pattern Classification for Interstitial Lung Diseases Using a Deep Convolutional Neur
Using Convolutional Neural Networks (CNN) for Semantic Segmentation of Breast Cancer Lesions (BRCA)
Using Convolutional Neural Networks (CNN) for Semantic Segmentation of Breast Cancer Lesions (BRCA). Master's thesis documents. Bibliography, experiments and reports.
Semantic Segmentation for Aerial Imagery using Convolutional Neural Network
This repo has been deprecated because whole things are re-implemented by using Chainer and I did refactoring for many codes. So please check this newe
This repository contains code, network definitions and pre-trained models for working on remote sensing images using deep learning
Deep learning for Earth Observation This repository contains code, network definitions and pre-trained models for working on remote sensing images usi
DecoupledNet is semantic segmentation system which using heterogeneous annotations
DecoupledNet: Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation Created by Seunghoon Hong, Hyeonwoo Noh and Bohyung Han at POSTE
CN24 is a complete semantic segmentation framework using fully convolutional networks
Build status: master (production branch): develop (development branch): Welcome to the CN24 GitHub repository! CN24 is a complete semantic segmentatio
Segment axon and myelin from microscopy data using deep learning
Segment axon and myelin from microscopy data using deep learning. Written in Python. Using the TensorFlow framework. Based on a convolutional neural network architecture. Pixels are classified as either axon, myelin or background.
Weather-API-GUI-Tkinter - A weather tool made using tkinter which works by fetching query city weather using an API
Weather-API-GUI-Tkinter ☁️ ❄️ version- 1️⃣ . 0️⃣ . 0️⃣ This repo contains a weat
Starlite-tile38 - Showcase using Tile38 via pyle38 in a Starlite application
Starlite-Tile38 Showcase using Tile38 via pyle38 in a Starlite application. Repo
Scrap-mtg-top-8 - A top 8 mtg scraper using python
Scrap-mtg-top-8 - A top 8 mtg scraper using python
Static Features Classifier - A static features classifier for Point-Could clusters using an Attention-RNN model
Static Features Classifier This is a static features classifier for Point-Could
Cities bot - A simple example of using aiogram and the wikipedia package
Cities game A simple example of using aiogram and the wikipedia package. The bot
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
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
This is a Flask web app which predicts fare of Flight ticket
Flight Fare Prediction: Table of Content Demo Overview Motivation Installation Deployement on Heroku Directory Tree Bug / Feature Request Future scope
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
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
Iss-tracker - ISS tracking script in python using NASA's API
ISS Tracker Tracking International Space Station using NASA's API and plotting i
DTCN SMP Challenge - Sequential prediction learning framework and algorithm
DTCN This is the implementation of our paper "Sequential Prediction of Social Me
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
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
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
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
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.
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-
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
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
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
Decision Weights in Prospect Theory
Decision Weights in Prospect Theory It's clear that humans are irrational, but how irrational are they? After some research into behavourial economics
Sentiment Classification using WSD, Maximum Entropy & Naive Bayes Classifiers
Sentiment Classification using WSD, Maximum Entropy & Naive Bayes Classifiers
Neuron class provides LNU (Linear Neural Unit), QNU (Quadratic Neural Unit), RBF (Radial Basis Function), MLP (Multi Layer Perceptron), MLP-ELM (Multi Layer Perceptron - Extreme Learning Machine) neurons learned with Gradient descent or LeLevenberg–Marquardt algorithm
Neuron class provides LNU (Linear Neural Unit), QNU (Quadratic Neural Unit), RBF (Radial Basis Function), MLP (Multi Layer Perceptron), MLP-ELM (Multi Layer Perceptron - Extreme Learning Machine) neurons learned with Gradient descent or LeLevenberg–Marquardt algorithm
⏲️ 📙 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
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
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
AP1 Transcription Factor Binding Site Prediction
A machine learning project that predicted binding sites of AP1 transcription factor, using ChIP-Seq data and local DNA shape information.
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:
Image Classification - A research on image classification and auto insurance claim prediction, a systematic experiments on modeling techniques and approaches
A research on image classification and auto insurance claim prediction, a systematic experiments on modeling techniques and approaches
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
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.
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
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
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
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
Titanic Traveller Survivability Prediction
The aim of the mini project is predict whether or not a passenger survived based on attributes such as their age, sex, passenger class, where they embarked and more.
Tutorial for Decision Threshold In Machine Learning.
Decision-Threshold-ML Tutorial for improve skills: 'Decision Threshold In Machine Learning' (from GeeksforGeeks) by Marcus Mariano For more informatio
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
Estimation of whether or not the persons given information will have diabetes.
Diabetes Business Problem : It is desired to develop a machine learning model that can predict whether people have diabetes when their characteristics
Sample code helps get you started with a simple Python web service using AWS Lambda and Amazon API Gateway
Welcome to the AWS CodeStar sample web service This sample code helps get you started with a simple Python web service using AWS Lambda and Amazon API
Tree Nested PyTorch Tensor Lib
DI-treetensor treetensor is a generalized tree-based tensor structure mainly developed by OpenDILab Contributors. Almost all the operation can be supp
MADT: Offline Pre-trained Multi-Agent Decision Transformer
MADT: Offline Pre-trained Multi-Agent Decision Transformer A link to our paper can be found on Arxiv. Overview Official codebase for Offline Pre-train
Fantasy Points Prediction and Dream Team Formation
Fantasy-Points-Prediction-and-Dream-Team-Formation Collected Data from open source resources that have over 100 Parameters for predicting cricket play
A real-time speech emotion recognition application using Scikit-learn and gradio
Speech-Emotion-Recognition-App A real-time speech emotion recognition application using Scikit-learn and gradio. Requirements librosa==0.6.3 numpy sou
A Python wrapper for simple offline real-time dictation (speech-to-text) and speaker-recognition using Vosk.
Simple-Vosk A Python wrapper for simple offline real-time dictation (speech-to-text) and speaker-recognition using Vosk. Check out the official Vosk G
Virtualdragdrop - Virtual Drag and Drop Using OpenCV and Arduino
Virtualdragdrop - Virtual Drag and Drop Using OpenCV and Arduino
PianoVisuals - Create background videos synced with piano music using opencv
Steps Record piano video Use Neural Network to do body segmentation (video matti
ColossalAI-Examples - Examples of training models with hybrid parallelism using ColossalAI
ColossalAI-Examples This repository contains examples of training models with Co
DCSync - DCSync Attack from Outside using Impacket
Adding DCSync Permissions Mostly copypasta from https://github.com/tothi/rbcd-at
Wordle-solver - A program that solves a Wordle using a simple algorithm
Wordle Solver A program that solves a Wordle using a simple algorithm. To see it
cl;asification problem using classification models in supervised learning
wine-quality-predition---classification cl;asification problem using classification models in supervised learning Wine Quality Prediction Analysis - C
Social Network Ads Prediction
Social network advertising, also social media targeting, is a group of terms that are used to describe forms of online advertising that focus on social networking services.
This is a Cricket Score Predictor that predicts the first innings score of a T20 Cricket match using Machine Learning
This is a Cricket Score Predictor that predicts the first innings score of a T20 Cricket match using Machine Learning. It is a Web Application.
Machine Learning Techniques using python.
👋 Hi, I’m Fahad from TEXAS TECH. 👀 I’m interested in Optimization / Machine Learning/ Statistics 🌱 I’m currently learning Machine Learning and Stat
Mortality risk prediction for COVID-19 patients using XGBoost models
Mortality risk prediction for COVID-19 patients using XGBoost models Using demographic and lab test data received from the HM Hospitales in Spain, I b
Machine Learning Algorithms ( Desion Tree, XG Boost, Random Forest )
implementation of machine learning Algorithms such as decision tree and random forest and xgboost on darasets then compare results for each and implement ant colony and genetic algorithms on tsp map, play blackjack game and robot in grid world and evaluate reward for it
MM1 and MMC Queue Simulation using python - Results and parameters in excel and csv files
implementation of MM1 and MMC Queue on randomly generated data and evaluate simulation results then compare with analytical results and draw a plot curve for them, simulate some integrals and compare results and run monte carlo algorithm with them
An ongoing process to make a physics engine using python.
Simple_Physics_Engine An ongoing process to make a physics engine using python. I am using this goal as a way to learn python in and out. I am trying
Pose Transformers: Human Motion Prediction with Non-Autoregressive Transformers
Pose Transformers: Human Motion Prediction with Non-Autoregressive Transformers This is the repo used for human motion prediction with non-autoregress
Using DST's API with Python
A short guide on how to access Denmark's Statistics API with python, together with a helper class that facilitates the collection of data and metadata from any DST's table
Optimizing synthesizer parameters using gradient approximation
Optimizing synthesizer parameters using gradient approximation NASH 2021 Hackathon! These are some experiments I conducted during NASH 2021, the Neura
Gender Classification Machine Learning Model using Sk-learn in Python with 97%+ accuracy and deployment
Gender-classification This is a ML model to classify Male and Females using some physical characterstics Data. Python Libraries like Pandas,Numpy and
PanopticBEV - Bird's-Eye-View Panoptic Segmentation Using Monocular Frontal View Images
Bird's-Eye-View Panoptic Segmentation Using Monocular Frontal View Images This r
DI-smartcross - Decision Intelligence Platform for Traffic Crossing Signal Control
DI-smartcross DI-smartcross - Decision Intelligence Platform for Traffic Crossin
A Multipurpose bot with many Commands made using Pycord
This repo has all of the commands you will ever need in a discord bot. a Multipurpose discord bot