4456 Repositories
Python Efficient-Multi-Collection-Style-Transfer-Using-GAN Libraries
HashNeRF-pytorch - Pure PyTorch Implementation of NVIDIA paper on Instant Training of Neural Graphics primitives
HashNeRF-pytorch Instant-NGP recently introduced a Multi-resolution Hash Encodin
Python-Strongest-Encrypter - Transform your text into encrypted symbols using their dictionary
How does the encrypter works? Transform your text into encrypted symbols using t
MOT-Tracking-by-Detection-Pipeline - For Tracking-by-Detection format MOT (Multi Object Tracking), is it a framework that separates Detection and Tracking processes?
MOT-Tracking-by-Detection-Pipeline Tracking-by-Detection形式のMOT(Multi Object Trac
Connect-4-AI - AI that plays Connect-4 using the minimax algorithm
Connect-4-AI Brief overview I coded up the Connect-4 (or four-in-a-row) game in
Transcript-Extractor-Bot - Yet another Telegram Voice Recognition bot but using vosk and supports 20+ languages
transcript extractor Yet another Telegram Voice Recognition bot but using vosk a
Text-Summarization-using-NLP - Text Summarization using NLP to fetch BBC News Article and summarize its text and also it includes custom article Summarization
Text-Summarization-using-NLP Text Summarization using NLP to fetch BBC News Arti
GUIOfTemperatureConverterUsingPython - GUI Of Temperature Converter Using Python
Fahrenheit To Celcius GUI Of Temperature Converter Below Video is the Output Of
Yolox-bytetrack-sample - Python sample of MOT (Multiple Object Tracking) using YOLOX and ByteTrack
yolox-bytetrack-sample YOLOXとByteTrackを用いたMOT(Multiple Object Tracking)のPythonサン
Ma2tl - macOS forensic timeline generator using the analysis result DBs of mac apt
ma2tl (mac_apt to timeline) This is a DFIR tool for generating a macOS forensic
Stitch it in Time: GAN-Based Facial Editing of Real Videos
STIT - Stitch it in Time [Project Page] Stitch it in Time: GAN-Based Facial Edit
FAMIE is a comprehensive and efficient active learning (AL) toolkit for multilingual information extraction (IE)
FAMIE: A Fast Active Learning Framework for Multilingual Information Extraction
Using PyTorch Perform intent classification using three different models to see which one is better for this task
Using PyTorch Perform intent classification using three different models to see which one is better for this task
OpenDelta - An Open-Source Framework for Paramter Efficient Tuning.
OpenDelta is a toolkit for parameter efficient methods (we dub it as delta tuning), by which users could flexibly assign (or add) a small amount parameters to update while keeping the most paramters frozen. By using OpenDelta, users could easily implement prefix-tuning, adapters, Lora, or any other types of delta tuning with preferred PTMs.
Detecting drunk people through thermal images using Deep Learning (CNN)
Drunk Detection CNN Detecting drunk people through thermal images using Deep Learning (CNN) Dataset We used thermal images provided by Electronics Lab
Multi Account Generator Minecraft/NordVPN/Hulu/Origin And ...
Multi Account Generator Minecraft/NordVPN/Hulu/Origin And ...
This is a simple Termo application in command line style
my-termo This is a simple Termo application in command line style. This app run a Linux crontab task every day to get a new word. Type termo in your t
Collection of functions for working with interlaced content in VapourSynth.
vsfieldkit Collection of functions for working with interlaced content in VapourSynth. It does not have any hard dependencies outside of VapourSynth.
Object detection evaluation metrics using Python.
Object detection evaluation metrics using Python.
Python Command Line Application (CLI) using Typer, SQLModel, Async-PostgrSQL, and FastAPI
pyflycli is a command-line interface application built with Typer that allows you to view flights above your location.
Collection of TensorFlow2 implementations of Generative Adversarial Network varieties presented in research papers.
TensorFlow2-GAN Collection of tf2.0 implementations of Generative Adversarial Network varieties presented in research papers. Model architectures will
Transfer style api - An API to use with Tranfer Style App, where you can use two image and transfer the style
Transfer Style API It's an API to use with Tranfer Style App, where you can use
Skforecast is a python library that eases using scikit-learn regressors as multi-step forecasters
Skforecast is a python library that eases using scikit-learn regressors as multi-step forecasters. It also works with any regressor compatible with the scikit-learn API (pipelines, CatBoost, LightGBM, XGBoost, Ranger...).
MVSDF - Learning Signed Distance Field for Multi-view Surface Reconstruction
MVSDF - Learning Signed Distance Field for Multi-view Surface Reconstruction This is the official implementation for the ICCV 2021 paper Learning Sign
An open software package to develop BCI based brain and cognitive computing technology for recognizing user's intention using deep learning
An open software package to develop BCI based brain and cognitive computing technology for recognizing user's intention using deep learning
HCQ: Hybrid Contrastive Quantization for Efficient Cross-View Video Retrieval
HCQ: Hybrid Contrastive Quantization for Efficient Cross-View Video Retrieval [toc] 1. Introduction This repository provides the code for our paper at
This repository contains the source code of Auto-Lambda and baselines from the paper, Auto-Lambda: Disentangling Dynamic Task Relationships.
Auto-Lambda This repository contains the source code of Auto-Lambda and baselines from the paper, Auto-Lambda: Disentangling Dynamic Task Relationship
Using deep learning model to detect breast cancer.
Breast-Cancer-Detection Breast cancer is the most frequent cancer among women, with around one in every 19 women at risk. The number of cases of breas
ONNX-PackNet-SfM: Python scripts for performing monocular depth estimation using the PackNet-SfM model in ONNX
Python scripts for performing monocular depth estimation using the PackNet-SfM model in ONNX
Brain tumor detection using CNN (InceptionResNetV2 Model)
Brain-Tumor-Detection Building a detection model using a convolutional neural network in Tensorflow & Keras. Used brain MRI images. InceptionResNetV2
Using Python to derive insights on particular Pokemon, Types, Generations, and Stats
Pokémon Analysis Andreas Nikolaidis February 2022 Introduction Exploratory Analysis Correlations & Descriptive Statistics Principal Component Analysis
Interact remotely with the computer using Python and MQTT protocol 💻
Comandos_Remotos Interagir remotamento com o computador através do Python e protocolo MQTT. 💻 Status: em desenvolvimento 🚦 Objetivo: Interagir com o
DAMPP (gui) is a Python based program to run simple webservers using MySQL, Php, Apache and PhpMyAdmin inside of Docker containers.
DAMPP (gui) is a Python based program to run simple webservers using MySQL, Php, Apache and PhpMyAdmin inside of Docker containers.
This repository contnains sample problems with test cases using Cormen-Lib
Cormen Lib Sample Problems Description This repository contnains sample problems with test cases using Cormen-Lib. These problems were made for the pu
Simple Email Sender using Python 3.
Email Sender 使用 Python 3 实现的简单邮件发送工具。 Version: 0.1.2 (Beta) 主要功能 使用 SMTP 协议发送邮件 支持 SSL/TLS 、 STARTTLS 加密(为保证安全,强制加密发送) 支持邮件模板与邮件生成 支持向多人群发邮件 日志记录 脚本执行
Using Opencv ,based on Augmental Reality(AR) and will show the feature matching of image and then by finding its matching
Using Opencv ,this project is based on Augmental Reality(AR) and will show the feature matching of image and then by finding its matching ,it will just mask that image . This project ,if used in cctv then it will detect black listed people if mentioned properly with their images.
An interactive document scanner built in Python using OpenCV
The scanner takes a poorly scanned image, finds the corners of the document, applies the perspective transformation to get a top-down view of the document, sharpens the image, and applies an adaptive color threshold to clean up the image.
Collection of SVG diagrams about how UTF-8 works
Diagrams Repository of diagrams made for articles on my blog. All diagrams are created using diagrams.net. UTF-8 Licenses Copyright 2022 Seth Michael
GUI based app made in python using tkinter
Virtual Keyboard A GUI application made in python using tkinter This is my first ever proper GUI based application project after learning tkinter rece
This repository contains code from the paper "TTS-GAN: A Transformer-based Time-Series Generative Adversarial Network"
TTS-GAN: A Transformer-based Time-Series Generative Adversarial Network This repository contains code from the paper "TTS-GAN: A Transformer-based Tim
Learned model to estimate number of distinct values (NDV) of a population using a small sample.
Learned NDV estimator Learned model to estimate number of distinct values (NDV) of a population using a small sample. The model approximates the maxim
Transfer Reinforcement Learning for Differing Action Spaces via Q-Network Representations
Transfer-Learning-in-Reinforcement-Learning Transfer Reinforcement Learning for Differing Action Spaces via Q-Network Representations Final Report Tra
Citation Intent Classification in scientific papers using the Scicite dataset an Pytorch
Citation Intent Classification Table of Contents About the Project Built With Installation Usage Acknowledgments About The Project Citation Intent Cla
A GUI based CRUD database management system built using mysql and python
A GUI based CRUD database management system built using mysql and python
Multi-task head pose estimation in-the-wild
Multi-task head pose estimation in-the-wild We provide C++ code in order to replicate the head-pose experiments in our paper https://ieeexplore.ieee.o
Official implementation for paper: Feature-Style Encoder for Style-Based GAN Inversion
Feature-Style Encoder for Style-Based GAN Inversion Official implementation for paper: Feature-Style Encoder for Style-Based GAN Inversion. Code will
Transfer Learning Remote Sensing
Transfer_Learning_Remote_Sensing Simulation R codes for data generation and visualizations are in the folder simulation. Experiment: California Housin
Handwritten Character Recognition using CNN
Handwritten Character Recognition using CNN Problem Definition The main objective of this project is to solve the problem of handwritten character rec
Implemenets the Contourlet-CNN as described in C-CNN: Contourlet Convolutional Neural Networks, using PyTorch
C-CNN: Contourlet Convolutional Neural Networks This repo implemenets the Contourlet-CNN as described in C-CNN: Contourlet Convolutional Neural Networ
A rubiks cube timer using a distance sensor and a raspberry pi 4, and possibly the pi pico to reduce size and cost.
distance sensor cube timer A rubiks cube timer using a distance sensor and a raspberry pi 4, and possibly the pi pico to reduce size and cost. How to
An Optical Character Recognition system using Pytesseract/Extracting data from Blood Pressure Reports.
Optical_Character_Recognition An Optical Character Recognition system using Pytesseract/Extracting data from Blood Pressure Reports. As an IOT/Compute
A particular navigation route using satellite feed and can help in toll operations & traffic managemen
How about adding some info that can quanitfy the stress on a particular navigation route using satellite feed and can help in toll operations & traffic management The current analysis is on the satellite image frame, but if we can add this info to a live feed it can help in developing smoother navigation systems based on real time traffic scenario
VG-Scraper is a python program using the module called BeautifulSoup which allows anyone to scrape something off an website. This program lets you put in a number trough an input and a number is 1 news article.
VG-Scraper VG-Scraper is a convinient program where you can find all the news articles instead of finding one yourself. Installing [Linux] Open a term
A simple chat room using socket and threading for handle multiple connections.
• Socket Chat Room was a little project for socket study. It works with a server handling the incoming connections from the clients. Clients send encoded messages while waiting for others clients messages simultaneously. And the server receive all the messages and delivers to the other clients.
A visual indicator of what environment/system you're using in django
A visual indicator of what environment/system you're using in django
A Broad Study on the Transferability of Visual Representations with Contrastive Learning
A Broad Study on the Transferability of Visual Representations with Contrastive Learning This repository contains code for the paper: A Broad Study on
Auto White-Balance Correction for Mixed-Illuminant Scenes
Auto White-Balance Correction for Mixed-Illuminant Scenes Mahmoud Afifi, Marcus A. Brubaker, and Michael S. Brown York University Video Reference code
PyTorch Implementation of our paper Explain Me the Painting: Multi-Topic Knowledgeable Art Description Generation
PyTorch Implementation of our paper Explain Me the Painting: Multi-Topic Knowledgeable Art Description Generation
Create a simple static website using python and jinja templates.
Simple Static Create a simple static website using python and jinja templates. Simple Static has four pieces: A build command that renders jinja templ
JAXMAPP: JAX-based Library for Multi-Agent Path Planning in Continuous Spaces
JAXMAPP: JAX-based Library for Multi-Agent Path Planning in Continuous Spaces JAXMAPP is a JAX-based library for multi-agent path planning (MAPP) in c
SGPT: Multi-billion parameter models for semantic search
SGPT: Multi-billion parameter models for semantic search This repository contains code, results and pre-trained models for the paper SGPT: Multi-billi
Notebook and code to synthesize complex and highly dimensional datasets using Gretel APIs.
Gretel Trainer This code is designed to help users successfully train synthetic models on complex datasets with high row and column counts. The code w
Self-Correcting Quantum Many-Body Control using Reinforcement Learning with Tensor Networks
Self-Correcting Quantum Many-Body Control using Reinforcement Learning with Tensor Networks This repository contains the code and data for the corresp
PICO is an algorithm for exploiting Reinforcement Learning (RL) on Multi-agent Path Finding tasks.
PICO is an algorithm for exploiting Reinforcement Learning (RL) on Multi-agent Path Finding tasks. It is developed by the Multi-Agent Artificial Intel
NovaMusic is a music sharing robot. Users can get music and music lyrics using inline queries.
A music sharing telegram robot using Redis database and Telebot python library using Redis database.
Deploy a simple Multi-Node Clickhouse Cluster with docker-compose in minutes.
Simple Multi Node Clickhouse Cluster I hate those single-node clickhouse clusters and manually installation, I mean, why should we: Running multiple c
Learning Efficient Online 3D Bin Packing on Packing Configuration Trees
Learning Efficient Online 3D Bin Packing on Packing Configuration Trees This repository is being continuously updated, please stay tuned! Any code con
PacketPy is an open-source solution for stress testing network devices using different testing methods
PacketPy About PacketPy is an open-source solution for stress testing network devices using different testing methods. Currently, there are only two c
Ansible Collection: A collection of Ansible Modules and Lookup Plugins (MLP) from Linuxfabrik.
ansible_mlp An Ansible collection of Ansible Modules and Lookup Plugins (MLP) from Linuxfabrik. Ansible Bitwarden Item Lookup Plugin Returns a passwor
File-based TF-IDF: Calculates keywords in a document, using a word corpus.
File-based TF-IDF Calculates keywords in a document, using a word corpus. Why? Because I found myself with hundreds of plain text files, with no way t
Password manager using MySQL and Python 3.10.2
Password Manager Password manager using MySQL and Python 3.10.2 Installation Install my-project with github git clone https://github.com/AyaanSiddiq
Neural Radiance Fields Using PyTorch
This project is a PyTorch implementation of Neural Radiance Fields (NeRF) for reproduction of results whilst running at a faster speed.
MLOps pipeline project using Amazon SageMaker Pipelines
This project shows steps to build an end to end MLOps architecture that covers data prep, model training, realtime and batch inference, build model registry, track lineage of artifacts and model drift detection. It utilizes SageMaker Pipelines that offers machine learning (ML) to orchestrate SageMaker jobs and author reproducible ML pipelines.
Company clustering with K-means/GMM and visualization with PCA, t-SNE, using SSAN relation extraction
RE results graph visualization and company clustering Installation pip install -r requirements.txt python -m nltk.downloader stopwords python3.7 main.
Migrates translations to the REDCap native Multi-Language Management system
Automates much of the process of moving translations from the old Multilingual external module to the newer built-in Multi-Language Management (MLM) page.
A Student/ School management application built using Django and Python.
Student Management An awesome student management app built using Django.! Explore the docs » View Demo · Report Bug · Request Feature Table of Content
HiPAL: A Deep Framework for Physician Burnout Prediction Using Activity Logs in Electronic Health Records
HiPAL Code for KDD'22 Applied Data Science Track submission -- HiPAL: A Deep Framework for Physician Burnout Prediction Using Activity Logs in Electro
Using Data Science with Machine Learning techniques (ETL pipeline and ML pipeline) to classify received messages after disasters.
Using Data Science with Machine Learning techniques (ETL pipeline and ML pipeline) to classify received messages after disasters.
A Numba-based two-point correlation function calculator using a grid decomposition
A Numba-based two-point correlation function (2PCF) calculator using a grid decomposition. Like Corrfunc, but written in Numba, with simplicity and hackability in mind.
An async Python library to automate solving ReCAPTCHA v2 by audio using Playwright.
Playwright nonoCAPTCHA An async Python library to automate solving ReCAPTCHA v2 by audio using Playwright. Disclaimer This project is for educational
A training task for web scraping using python multithreading and a real-time-updated list of available proxy servers.
Parallel web scraping The project is a training task for web scraping using python multithreading and a real-time-updated list of available proxy serv
Gold(Gold) is a modern cryptocurrency built from scratch, designed to be efficient, decentralized, and secure
gold-blockchain (Gold) Gold(Gold) is a modern cryptocurrency built from scratch, designed to be efficient, decentralized, and secure. Here are some of
Some embedding layer implementation using ivy library
ivy-manual-embeddings Some embedding layer implementation using ivy library. Just for fun. It is based on NYCTaxiFare dataset from kaggle (cut down to
Multi-atlas segmentation (MAS) is a promising framework for medical image segmentation
Multi-atlas segmentation (MAS) is a promising framework for medical image segmentation. Generally, MAS methods register multiple atlases, i.e., medical images with corresponding labels, to a target image;
Deploying a production-ready Django project using Nginx and Gunicorn
django-nginx-gunicorn This project is for deploying a production-ready Django project using Nginx and Gunicorn. Running a local server of Django is no
Twitter Sentiment Analysis using #tag, words and username
Twitter Sentment Analysis Web App using #tag, words and username to fetch data finds Insides of data and Tells Sentiment of the perticular #tag, words or username.
Cado Response Integration with Amazon GuardDuty using AWS Lambda
Cado Response Integration with Amazon GuardDuty using AWS Lambda This repository contains a simple example where: An alert is triggered by GuardDuty T
Pytorch implementation of "Peer Loss Functions: Learning from Noisy Labels without Knowing Noise Rates"
Peer Loss functions This repository is the (Multi-Class & Deep Learning) Pytorch implementation of "Peer Loss Functions: Learning from Noisy Labels wi
A small python script which runs a speedtest using speedtest.net and inserts it into a Google Docs Spreadsheet.
speedtest-google-sheets This is a small python script which runs a speedtest using speedtest.net and inserts it into a Google Docs Spreadsheet. Setup
User-interest mock backend server implemnted using flask restful, and SQLAlchemy ORM confiugred with sqlite
Flask_Restful_SQLAlchemy_server User-interest mock backend server implemnted using flask restful, and SQLAlchemy ORM confiugred with sqlite. Backend b
Youtube Downloader is a simple but highly efficient Youtube Video Downloader, made completly using Python
Youtube Downloader is a simple but highly efficient Youtube Video Downloader, made completly using Python
Simple local RPG turn-based to play while learn something using the anki system
Simple local RPG turn-based to play while learn something using the anki system
An open-source hyper-heuristic framework for multi-objective optimization
MOEA-HH An open-source hyper-heuristic framework for multi-objective optimization. Introduction The multi-objective optimization technique is widely u
Simple Python package to convert an image into a quantized image using a customizable palette
Simple Python package to convert an image into a quantized image using a customizable palette. Resulting image can be displayed by ePaper displays such as Waveshare displays.
Visualize a molecule and its conformations in Jupyter notebooks/lab using py3dmol
Mol Viewer This is a simple package wrapping py3dmol for a single command visualization of a RDKit molecule and its conformations (embed as Conformer
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.
SubOmiEmbed: Self-supervised Representation Learning of Multi-omics Data for Cancer Type Classification
SubOmiEmbed: Self-supervised Representation Learning of Multi-omics Data for Cancer Type Classification
Multi-Stage Spatial-Temporal Convolutional Neural Network (MS-GCN)
Multi-Stage Spatial-Temporal Convolutional Neural Network (MS-GCN) This code implements the skeleton-based action segmentation MS-GCN model from Autom
Implementations of the algorithms in the paper Approximative Algorithms for Multi-Marginal Optimal Transport and Free-Support Wasserstein Barycenters
Implementations of the algorithms in the paper Approximative Algorithms for Multi-Marginal Optimal Transport and Free-Support Wasserstein Barycenters
Multi Camera Calibration
Multi Camera Calibration 'modules/camera_calibration/app/camera_calibration.cpp' is for calculating extrinsic parameter of each individual cameras. 'm
Code Impementation for "Mold into a Graph: Efficient Bayesian Optimization over Mixed Spaces"
Code Impementation for "Mold into a Graph: Efficient Bayesian Optimization over Mixed Spaces" This repo contains the implementation of GEBO algorithm.