3938 Repositories
Python Processing-Files-using-MySQL Libraries
Implemented Exploratory Data Analysis (EDA) using Python.Built a dashboard in Tableau and found that 45.87% of People suffer from heart disease.
Heart_Disease_Diagnostic_Analysis Objective 🎯 The aim of this project is to use the given data and perform ETL and data analysis to infer key metrics
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
🤖 Project template for your next awesome AI project. 🦾
🤖 AI Awesome Project Template 👋 Template author You may want to adjust badge links in a README.md file. 💎 Installation with pip Installation is as
A web app builds using streamlit API with python backend to analyze and pick insides from multiple data formats.
Data-Analysis-Web-App Data Analysis Web App can analysis data in multiple formates(csv, txt, xls, xlsx, ods, odt) and gives shows you the analysis in
Automatically Forward files from groups to channel & FSub
Backup & ForceSub Automatically Forward files from groups to channel & Do force sub on members Variables API_ID : Get from my.telegram.org API_HASH :
Training DiffWave using variational method from Variational Diffusion Models.
Variational DiffWave Training DiffWave using variational method from Variational Diffusion Models. Quick Start python train_distributed.py discrete_10
NLP applications using deep learning.
NLP-Natural-Language-Processing NLP applications using deep learning like text generation etc. 1- Poetry Generation: Using a collection of Irish Poem
RobustVideoMatting and background composing in one model by using onnxruntime.
RVM_onnx_compose RobustVideoMatting and background composing in one model by using onnxruntime. Usage pip install -r requirements.txt python infer_cam
Natural Language Processing Specialization
Natural Language Processing Specialization In this folder, Natural Language Processing Specialization projects and notes can be found. WHAT I LEARNED
A "guess the number" game on a GUI interface using Tkinter library🙂
A "guess the number" game on a GUI interface using Tkinter library🙂
Python Classes: Medical Insurance Project using Object Oriented Programming Concepts
Medical-Insurance-Project-OOP Python Classes: Medical Insurance Project using Object Oriented Programming Concepts Classes are an incredibly useful pr
A simple portable USB MIDI controller based on Raspberry-PI Pico and a 16-button keypad, written in Circuit Python
RPI-Pico-16-BTn-MIDI-Controller-using-CircuitPython A simple portable USB MIDI controller based on Raspberry-PI Pico, written in Circuit Python. Link
Standalone script written in Python 3 for generating Reverse Shell one liner snippets and handles the communication between target and client using custom Netcat binaries
Standalone script written in Python 3 for generating Reverse Shell one liner snippets and handles the communication between target and client using custom Netcat binaries. It automates the boring stuff like URL encoding the command and setting up a listener.
Multi-processing capable print-like logger for Python
MPLogger Multi-processing capable print-like logger for Python Requirements and Installation Python 3.8+ is required Pip pip install mplogger Manual P
Utility to add/remove licenses to/from source files
Utility to add/remove licenses to/from source files. Supports processing any combination of globs, files, and directories (recurse). Pruning options allow skipping non-licensing files.
A zombie game using Kinetic. You can control players using fingers
This is Eden Park's portpolio: Works, projects and practices This repository can be used to show the potential employers to check my works, code and p
Self-supervised learning algorithms provide a way to train Deep Neural Networks in an unsupervised way using contrastive losses
Self-supervised learning Self-supervised learning algorithms provide a way to train Deep Neural Networks in an unsupervised way using contrastive loss
Using pretrained GROVER to extract the atomic fingerprints from molecule
Extracting atomic fingerprints from molecules using pretrained Graph Neural Network models (GROVER).
Using NumPy to solve the equations of fluid mechanics together with Finite Differences, explicit time stepping and Chorin's Projection methods
Computational Fluid Dynamics in Python Using NumPy to solve the equations of fluid mechanics 🌊 🌊 🌊 together with Finite Differences, explicit time
This is an incredible led matrix simulation using the ultimate mosaik co-simulation framework.
This project uses the mosaik co-simulation framework, developed by the brilliant developers at the high-ranked Offis institue for computer science, Oldenburg, Germany, to simulate multidimensional LED matrices.
CAST: Character labeling in Animation using Self-supervision by Tracking
CAST: Character labeling in Animation using Self-supervision by Tracking (Published as a conference paper at EuroGraphics 2022) Note: The CAST paper c
Using Self-Supervised Pretext Tasks for Active Learning - Official Pytorch Implementation
Using Self-Supervised Pretext Tasks for Active Learning - Official Pytorch Implementation Experiment Setting: CIFAR10 (downloaded and saved in ./DATA
NaturalCC is a sequence modeling toolkit that allows researchers and developers to train custom models
NaturalCC NaturalCC is a sequence modeling toolkit that allows researchers and developers to train custom models for many software engineering tasks,
Using Machine Learning to Test Causal Hypotheses in Conjoint Analysis
Readme File for "Using Machine Learning to Test Causal Hypotheses in Conjoint Analysis" by Ham, Imai, and Janson. (2022) All scripts were written and
A PyTorch implementation for our paper "Dual Contrastive Learning: Text Classification via Label-Aware Data Augmentation".
Dual-Contrastive-Learning A PyTorch implementation for our paper "Dual Contrastive Learning: Text Classification via Label-Aware Data Augmentation". Y
This repository contains the code for TABS, a 3D CNN-Transformer hybrid automated brain tissue segmentation algorithm using T1w structural MRI scans
This repository contains the code for TABS, a 3D CNN-Transformer hybrid automated brain tissue segmentation algorithm using T1w structural MRI scans. TABS relies on a Res-Unet backbone, with a Vision Transformer embedded between the encoder and decoder layers.
Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Setting
Real-Time Seizure Detection using Electroencephalogram (EEG) This is the repository for "Real-Time Seizure Detection using EEG: A Comprehensive Compar
Explore the Expression: Facial Expression Generation using Auxiliary Classifier Generative Adversarial Network
Explore the Expression: Facial Expression Generation using Auxiliary Classifier Generative Adversarial Network This is the official implementation of
SpiroMask: Measuring Lung Function Using Consumer-Grade Masks
SpiroMask: Measuring Lung Function Using Consumer-Grade Masks Anonymised repository for paper submitted for peer review at ACM HEALTH (October 2021).
Improved Fitness Optimization Landscapes for Sequence Design
ReLSO Improved Fitness Optimization Landscapes for Sequence Design Description Citation How to run Training models Original data source Description In
Framework for training options with different attention mechanism and using them to solve downstream tasks.
Using Attention in HRL Framework for training options with different attention mechanism and using them to solve downstream tasks. Requirements GPU re
This is the source code for the experiments related to the paper Unsupervised Audio Source Separation Using Differentiable Parametric Source Models
Unsupervised Audio Source Separation Using Differentiable Parametric Source Models This is the source code for the experiments related to the paper Un
Author Disambiguation using Knowledge Graph Embeddings with Literals
Author Name Disambiguation with Knowledge Graph Embeddings using Literals This is the repository for the master thesis project on Knowledge Graph Embe
In the AI for TSP competition we try to solve optimization problems using machine learning.
AI for TSP Competition Goal In the AI for TSP competition we try to solve optimization problems using machine learning. The competition will be hosted
Identifying a Training-Set Attack’s Target Using Renormalized Influence Estimation
Identifying a Training-Set Attack’s Target Using Renormalized Influence Estimation By: Zayd Hammoudeh and Daniel Lowd Paper: Arxiv Preprint Coming soo
Vision transformers (ViTs) have found only limited practical use in processing images
CXV Convolutional Xformers for Vision Vision transformers (ViTs) have found only limited practical use in processing images, in spite of their state-o
Tackling data scarcity in Speech Translation using zero-shot multilingual Machine Translation techniques
Tackling data scarcity in Speech Translation using zero-shot multilingual Machine Translation techniques This repository is derived from the NMTGMinor
Semantic code search implementation using Tensorflow framework and the source code data from the CodeSearchNet project
Semantic Code Search Semantic code search implementation using Tensorflow framework and the source code data from the CodeSearchNet project. The model
Grad2Task: Improved Few-shot Text Classification Using Gradients for Task Representation
Grad2Task: Improved Few-shot Text Classification Using Gradients for Task Representation Prerequisites This repo is built upon a local copy of transfo
A basic molecule viewer written in Python, using curses; Thus, meant for linux terminals
asciiMOL A basic molecule viewer written in Python, using curses; Thus, meant for linux terminals. This is an alpha version, featuring: Opening defaul
Style transfer between images was performed using the VGG19 model
Style transfer between images was performed using the VGG19 model. The necessary codes, libraries and all other information of this project are available below
A beginner’s guide to train and deploy machine learning pipelines in Python using PyCaret
This model involves Insurance bill prediction, which was subsequently deployed on Heroku PaaS
Audio Source Separation is the process of separating a mixture into isolated sounds from individual sources
Audio Source Separation is the process of separating a mixture into isolated sounds from individual sources (e.g. just the lead vocals).
A small scale relica of bank management system using the MySQL queries in the python language.
Bank_Management_system This is a Bank Management System Database Project. Abstract: The main aim of the Bank Management Mini project is to keep record
Election Exit Poll Prediction and U.S.A Presidential Speech Analysis using Machine Learning
Machine_Learning Election Exit Poll Prediction and U.S.A Presidential Speech Analysis using Machine Learning This project is based on 2 case-studies:
Melanoma Skin Cancer Detection using Convolutional Neural Networks and Transfer Learning🕵🏻♂️
This is a Kaggle competition in which we have to identify if the given lesion image is malignant or not for Melanoma which is a type of skin cancer.
Python script to scan log files/system for unauthorized access around system
checkLogs Python script to scan log files/system for unauthorized access around Linux systems Table of contents General info Getting started Usage Gen
This pyhton script converts a pdf to Image then using tesseract as OCR engine converts Image to Text
Script_Convertir_PDF_IMG_TXT Este script de pyhton convierte un pdf en Imagen luego utilizando tesseract como motor OCR convierte la Imagen a Texto. p
Fetch fund data from avanza.se using Python and some web scraping with bs4
Py(A)vanza Fetch fund data from avanza.se using Python and some web scraping with bs4. The default way is to display the data in the terminal, apply -
A small automated test structure using python to test *.cpp codes
Get Started Insert C++ Codes Add Test Code Run Test Samples Check Coverages Insert C++ Codes you can easily add c++ files in /inputs directory there i
Storing, versioning, and downloading files from S3 made as easy as using open() in Python. Caching included.
open(LARGE) Storing, versioning, and downloading files from S3 made as easy as using open() in Python. Caching included. Motivation Oftentimes, especi
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 library provides an abstraction to perform Model Versioning using Weight & Biases.
Description This library provides an abstraction to perform Model Versioning using Weight & Biases. Features Version a new trained model Promote a mod
A really minimalistic operating system made using python's GUI module Tkinter.
BoxOS V1.0.0 About A really minimalistic operating system made using python's GUI module Tkinter. What seperates it from the other operating systems m
Reverse-ikea-image-search - A simple image of ikea search using jina.ai
IKEA Reverse Image Search This is a demo project to fetch ikea product images(IK
Login-python - Login system made in Python, using native libraries
login-python Sistema de login feito 100% em Python, utilizando bibliotecas nativ
Lektor-html-pretify - Lektor plugin to pretify the HTML DOM using Beautiful Soup
html-pretify Lektor plugin to pretify the HTML DOM using Beautiful Soup. How doe
Detic ros - A simple ROS wrapper for Detic instance segmentation using pre-trained dataset
Detic ros - A simple ROS wrapper for Detic instance segmentation using pre-trained dataset
Open slidebook .sldy files in Python
Work in progress slidebook-python Open slidebook .sldy files in Python To install slidebook-python requires Python = 3.9 pip install slidebook-python
A simple, unofficial implementation of MAE using pytorch-lightning
Masked Autoencoders in PyTorch A simple, unofficial implementation of MAE (Masked Autoencoders are Scalable Vision Learners) using pytorch-lightning.
A reference implementation for processing the content.log files found at opendata.dwd.de/weather
A reference implementation for processing the content.log files found at opendata.dwd.de/weather.
Command line tool to automate transforming the effects of one color profile to another, possibly more standard one.
Finished rendering the frames of that animation, and now the colors look washed out and ugly? This terminal program will solve exactly that.
This is a NLP based project to extract effective date of the contract from their text files.
Date-Extraction-from-Contracts This is a NLP based project to extract effective date of the contract from their text files. Problem statement This is
Towards Fine-Grained Reasoning for Fake News Detection
FinerFact This is the PyTorch implementation for the FinerFact model in the AAAI 2022 paper Towards Fine-Grained Reasoning for Fake News Detection (Ar
Bib-parser - Convenient script to parse .bib files with the ACM Digital Library like metadata
Bib Parser Convenient script to parse .bib files with the ACM Digital Library li
Gapmm2: gapped alignment using minimap2 (align transcripts to genome)
gapmm2: gapped alignment using minimap2 This tool is a wrapper for minimap2 to r
LERP : Label-dependent and event-guided interpretable disease risk prediction using EHRs
LERP : Label-dependent and event-guided interpretable disease risk prediction using EHRs This is the code for the LERP. Dataset The dataset used is MI
Annotating the Tweebank Corpus on Named Entity Recognition and Building NLP Models for Social Media Analysis
TweebankNLP This repo contains the new Tweebank-NER dataset and off-the-shelf Twitter-Stanza pipeline for state-of-the-art Tweet NLP, as described in
This is a repository created to run a workshop on Game Theory using the programming language Python and more specifically an open-source software called the Axelrod Python library
Game-Theory-and-Python This is a repository created to run a workshop on Game Theory using the programming language Python and more specifically an op
It was created to conveniently respond to events such as donation, follow, and hosting using the Alert Box provided by twip to streamers
This library is not an official library of twip. It was created to conveniently respond to events such as donation, follow, and hosting using the Alert Box provided by twip to streamers.
Generate pixel-style avatars with python.
face2pixel Generate pixel-style avatars with python. Run: Clone the project: git clone https://github.com/theodorecooper/face2pixel install requiremen
Churn Emails Inbox - Churn Emails Inbox Using Python
Churn Emails Inbox In this project, I have used the Python programming langauge
Read write method - Read files in various types of formats
一个关于所有格式文件读取的方法 1。 问题描述: 各种各样的文件格式,读写操作非常的麻烦,能够有一种方法,可以整合所有格式的文件,方便用户进行读取和写入。 2
Banglore House Prediction Using Flask Server (Python)
Banglore House Prediction Using Flask Server (Python) 🌐 Links 🌐 📂 Repo In this repository, I've implemented a Machine Learning-based Bangalore Hous
Predicting Auction Sale Price using the kaggle bulldozer auction sales data: Modeling with Ensembles vs Neural Network
Predicting Auction Sale Price using the kaggle bulldozer auction sales data: Modeling with Ensembles vs Neural Network The performances of tree ensemb
Amazon web scraping using Scrapy Framework
Amazon-web-scraping-using-Scrapy-Framework Scrapy Scrapy is an application framework for crawling web sites and extracting structured data which can b
Deep Learning for Natural Language Processing SS 2021 (TU Darmstadt)
Deep Learning for Natural Language Processing SS 2021 (TU Darmstadt) Task Training huge unsupervised deep neural networks yields to strong progress in
A program made in PYTHON🐍 that automatically performs data insertions into a POSTGRES database 🐘 , using as base a .CSV file 📁 , useful in mass data insertions
A program made in PYTHON🐍 that automatically performs data insertions into a POSTGRES database 🐘 , using as base a .CSV file 📁 , useful in mass data insertions.
Keepsake is a Python library that uploads files and metadata (like hyperparameters) to Amazon S3 or Google Cloud Storage
Keepsake Version control for machine learning. Keepsake is a Python library that uploads files and metadata (like hyperparameters) to Amazon S3 or Goo
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"
Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks
Introduction This repository contains the modified caffe library and network architectures for our paper "Automated Melanoma Recognition in Dermoscopy
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
Built a deep neural network (DNN) that functions as an end-to-end machine translation pipeline
Built a deep neural network (DNN) that functions as an end-to-end machine translation pipeline. The pipeline accepts english text as input and returns the French translation.
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