4051 Repositories
Python Recovering-Brain-Structure-Network-Using-Functional-Connectivity Libraries
TransMVSNet: Global Context-aware Multi-view Stereo Network with Transformers.
TransMVSNet This repository contains the official implementation of the paper: "TransMVSNet: Global Context-aware Multi-view Stereo Network with Trans
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
Brain Tumor Detection with Tensorflow Neural Networks.
Brain-Tumor-Detection A convolutional neural network model built with Tensorflow & Keras to detect brain tumor and its different variants. Data of the
Python-boilerplate - Python Boilerplate Project Structure
python-boilerplate Python Boilerplate Project Structure Folder Structure .github
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
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
Python implementation of 3D facial mesh exaggeration using the techniques described in the paper: Computational Caricaturization of Surfaces.
Python implementation of 3D facial mesh exaggeration using the techniques described in the paper: Computational Caricaturization of Surfaces.
Implement backup and recovery with AWS Backup across your AWS Organizations using a CI/CD pipeline (AWS CodePipeline).
Backup and Recovery with AWS Backup This repository provides you with a management and deployment solution for implementing Backup and Recovery with A
It is convenient to quickly import Python packages from the network.
It is convenient to quickly import Python packages from the network.
This Home Assistant custom component adding support for controlling Midea dehumidifiers on local network.
This custom component for Home Assistant adds support for Midea air conditioner and dehumidifier appliances via the local area network. homeassistant-
Port of dplyr and other related R packages in python, using pipda.
Unlike other similar packages in python that just mimic the piping syntax, datar follows the API designs from the original packages as much as possible, and is tested thoroughly with the cases from the original packages
Predicting 10 different clothing types using Xception pre-trained model.
Predicting-Clothing-Types Predicting 10 different clothing types using Xception pre-trained model from Keras library. It is reimplemented version from
Detect roadway lanes using Python OpenCV for project during the 5th semester at DHBW Stuttgart for lecture in digital image processing.
Find Line Detection (Image Processing) Identifying lanes of the road is very common task that human driver performs. It's important to keep the vehicl
Cross-modal Retrieval using Transformer Encoder Reasoning Networks (TERN). With use of Metric Learning and FAISS for fast similarity search on GPU
Cross-modal Retrieval using Transformer Encoder Reasoning Networks This project reimplements the idea from "Transformer Reasoning Network for Image-Te
Using OpenAI's CLIP to upscale and enhance images
CLIP Upscaler and Enhancer Using OpenAI's CLIP to upscale and enhance images Based on nshepperd's JAX CLIP Guided Diffusion v2.4 Sample Results Viewpo
Latent Network Models to Account for Noisy, Multiply-Reported Social Network Data
VIMuRe Latent Network Models to Account for Noisy, Multiply-Reported Social Network Data. If you use this code please cite this article (preprint). De
Convert shellcode generated using pe_2_shellcode to cdb format.
pe2shc-to-cdb This tool will convert shellcode generated using pe_to_shellcode to cdb format. Cdb.exe is a LOLBIN which can help evade detection & app
The model is designed to train a single and large neural network in order to predict correct translation by reading the given sentence.
Neural Machine Translation communication system The model is basically direct to convert one source language to another targeted language using encode
YouTube-Downloader - YouTube Video Downloader made using python
YouTube-Downloader YouTube Videos Downloder made using python.
Official PyTorch Implementation of paper EAN: Event Adaptive Network for Efficient Action Recognition
Official PyTorch Implementation of paper EAN: Event Adaptive Network for Efficient Action Recognition
Genpyteal - Experiment to rewrite Python into PyTeal using RedBaron
genpyteal Converts Python to PyTeal. Your mileage will vary depending on how muc
KoreaVPN - Create a VPN App for Mac Using Automator
VPN app 만들기 (a.k.a. KoreaVPN) VPN을 사용하기 위해 들어가는 10초의 시간을 아끼고, 귀찮음을 최소화 하기 위해 크롤링
Ab testing - The using AB test to test of difference of conversion rate
Facebook recently introduced a new type of offer that is an alternative to the current type of bidding called maximum bidding he introduced average bidding.
CKD - Collaborative Knowledge Distillation for Heterogeneous Information Network Embedding
Collaborative Knowledge Distillation for Heterogeneous Information Network Embed
High dimensional black-box optimizer using Latent Action Monte Carlo Tree Search algorithm
LA-MCTS The code is based of paper Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search. Component LA-MCTS has thr
OneShot Learning-based hotword detection.
EfficientWord-Net Hotword detection based on one-shot learning Home assistants require special phrases called hotwords to get activated (eg:"ok google
Instant neural graphics primitives: lightning fast NeRF and more
Instant Neural Graphics Primitives Ever wanted to train a NeRF model of a fox in under 5 seconds? Or fly around a scene captured from photos of a fact
Pytorch code for "DPFM: Deep Partial Functional Maps" - 3DV 2021 (Oral)
DPFM Code for "DPFM: Deep Partial Functional Maps" - 3DV 2021 (Oral) Installation This implementation runs on python = 3.7, use pip to install depend
Rotated Box Is Back : Accurate Box Proposal Network for Scene Text Detection
Rotated Box Is Back : Accurate Box Proposal Network for Scene Text Detection This material is supplementray code for paper accepted in ICDAR 2021 We h
This is a Web scraping project using BeautifulSoup and Python to scrape basic information of all the Test matches played till Jan 2022.
Scraping-test-matches-data This is a Web scraping project using BeautifulSoup and Python to scrape basic information of all the Test matches played ti
Face Mask Detector by live camera using tensorflow-keras, openCV and Python
Face Mask Detector 😷 by Live Camera Detecting masked or unmasked faces by live camera with percentange of mask occupation About Project: This an Arti
Simple encryption/decryption utility using Pycryptodome module. Working with AES and RSA algorithms.
EncypherUtil Simple encryption/decryption utility using PyCryptodome module. Working with AES and RSA algorithms. THIS UTILITY IS NOT LICENSED AS CRYP
Tackling Obstacle Tower Challenge using PPO & A2C combined with ICM.
Obstacle Tower Challenge using Deep Reinforcement Learning Unity Obstacle Tower is a challenging realistic 3D, third person perspective and procedural
A malware to encrypt all the .txt and .jpg files in target computer using RSA algorithms
A malware to encrypt all the .txt and .jpg files in target computer using RSA algorithms. Change the Blackgound image of targets' computer. and decrypt the targets' encrypted files in our own computer
VGG16 model-based classification project about brain tumor detection.
Brain-Tumor-Classification-with-MRI VGG16 model-based classification project about brain tumor detection. First, you can check what people are doing o
Step by Step on how to create an vision recognition model using LOBE.ai, export the model and run the model in an Azure Function
Step by Step on how to create an vision recognition model using LOBE.ai, export the model and run the model in an Azure Function
Cupytorch - A small framework mimics PyTorch using CuPy or NumPy
CuPyTorch CuPyTorch是一个小型PyTorch,名字来源于: 不同于已有的几个使用NumPy实现PyTorch的开源项目,本项目通过CuPy支持
AirDrive lets you store unlimited files to cloud for free. Upload & download files from your personal drive at any time using its super-fast API.
AirDrive lets you store unlimited files to cloud for free. Upload & download files from your personal drive at any time using its super-fast API.
Code and Resources for the Transformer Encoder Reasoning Network (TERN)
Transformer Encoder Reasoning Network Code for the cross-modal visual-linguistic retrieval method from "Transformer Reasoning Network for Image-Text M
Implementing SYNTHESIZER: Rethinking Self-Attention in Transformer Models using Pytorch
Implementing SYNTHESIZER: Rethinking Self-Attention in Transformer Models using Pytorch Reference Paper URL Author: Yi Tay, Dara Bahri, Donald Metzler
[NeurIPS 2020] Official Implementation: "SMYRF: Efficient Attention using Asymmetric Clustering".
SMYRF: Efficient attention using asymmetric clustering Get started: Abstract We propose a novel type of balanced clustering algorithm to approximate a
PyElastica is the Python implementation of Elastica, an open-source software for the simulation of assemblies of slender, one-dimensional structures using Cosserat Rod theory.
PyElastica PyElastica is the python implementation of Elastica: an open-source project for simulating assemblies of slender, one-dimensional structure
Official repository of "DeepMIH: Deep Invertible Network for Multiple Image Hiding", TPAMI 2022.
DeepMIH: Deep Invertible Network for Multiple Image Hiding (TPAMI 2022) This repo is the official code for DeepMIH: Deep Invertible Network for Multip
A recipe sharing API built using Django rest framework.
Recipe Sharing API This is the backend API for the recipe sharing platform at https://mesob-recipe.netlify.app/ This API allows users to share recipes
Policy Gradient Algorithms (One Step Actor Critic & PPO) from scratch using Numpy
Policy Gradient Algorithms From Scratch (NumPy) This repository showcases two policy gradient algorithms (One Step Actor Critic and Proximal Policy Op
Visualization Website by using Dash and Heroku
Visualization Website by using Dash and Heroku You can visit the website https://payroll-expense-analysis.herokuapp.com/ In this project, I am interes
FilmMikirAPI - A simple rest-api which is used for scrapping on the Kincir website using the Python and Flask package
FilmMikirAPI - A simple rest-api which is used for scrapping on the Kincir website using the Python and Flask package
Beihang University Network Authentication Login
北航自动网络认证使用说明 主文件 gw_buaa.py # @file gw_buaa.py # @author Dong # @date 2022-01-25 # @email [email protected] # @brief This is a python script to l
Evolving neural network parameters in JAX.
Evolving Neural Networks in JAX This repository holds code displaying techniques for applying evolutionary network training strategies in JAX. Each sc
Flappy Bird Game using Pygame in Python
Flappy Bird Game using Pygame in Python Demo Pages Hello dear, hope you are very well! I created Flappy Bird Game using Pygame ( Pygame is a cross-pla
SMTP In some vulnerable configurations, email servers can also be aggregated Use information that gives us information about the host or network Give
SMTP In some vulnerable configurations, email servers can also be aggregated Use information that gives us information about the host or network Give. The SMTP protocol supports some basic commands such as VRFY and EXPN Slowly A VRFY request asks the server to verify an email address while Which requests an EXPN request for email list membership. These requests are The power is sometimes misused to verify the existence of a user on the email server Used by hackers later
A basic neural network for image segmentation.
Unet_erythema_detection A basic neural network for image segmentation. 前期准备 1.在logs文件夹中下载h5权重文件,百度网盘链接在logs文件夹中 2.将所有原图 放置在“/dataset_1/JPEGImages/”文件夹
A starter template for building a backend with Django and django-rest-framework using docker with PostgreSQL as the primary DB.
Django-Rest-Template! This is a basic starter template for a backend project with Django as the server and PostgreSQL as the database. About the templ
Bot that embeds a random hysterical meme from Reddit into your text channel as an embedded message, using an API call.
Discord_Meme_Bot 🤣 Bot that embeds a random hysterical meme from Reddit into your text channel as an embedded message, using an API call. Add the bot
Prediction of MBA refinance Index (Mortgage prepayment)
Prediction of MBA refinance Index (Mortgage prepayment) Deep Neural Network based Model The ability to predict mortgage prepayment is of critical use
This is a model to classify Vietnamese sign language using Motion history image (MHI) algorithm and CNN.
Vietnamese sign lagnuage recognition using MHI and CNN This is a model to classify Vietnamese sign language using Motion history image (MHI) algorithm
[ACM MM 2021] TSA-Net: Tube Self-Attention Network for Action Quality Assessment
Tube Self-Attention Network (TSA-Net) This repository contains the PyTorch implementation for paper TSA-Net: Tube Self-Attention Network for Action Qu
Optical machine for senses sensing using speckle and deep learning
# Senses-speckle [Remote Photonic Detection of Human Senses Using Secondary Speckle Patterns](https://doi.org/10.21203/rs.3.rs-724587/v1) paper Python
Code for Reciprocal Adversarial Learning for Brain Tumor Segmentation: A Solution to BraTS Challenge 2021 Segmentation Task
BRATS 2021 Solution For Segmentation Task This repo contains the supported pytorch code and configuration files to reproduce 3D medical image segmenta
This project aims at building a real-time wide band channel sounder using USRPs
RFNoC-HLS-WINLAB Bhargav Gokalgandhi [email protected] Prasanthi Maddala [email protected] Ivan Seskar [email protected]
Accurate identification of bacteriophages from metagenomic data using Transformer
PhaMer is a python library for identifying bacteriophages from metagenomic data. PhaMer is based on a Transorfer model and rely on protein-based vocab
Weakly Supervised Scene Text Detection using Deep Reinforcement Learning
Weakly Supervised Scene Text Detection using Deep Reinforcement Learning This repository contains the setup for all experiments performed in our Paper
This repo is the official implementation for Multi-Scale Adaptive Graph Neural Network for Multivariate Time Series Forecasting
1 MAGNN This repo is the official implementation for Multi-Scale Adaptive Graph Neural Network for Multivariate Time Series Forecasting. 1.1 The frame
Long text token classification using LongFormer
Long text token classification using LongFormer
A curated list of awesome Deep Learning tutorials, projects and communities.
Awesome Deep Learning Table of Contents Books Courses Videos and Lectures Papers Tutorials Researchers Websites Datasets Conferences Frameworks Tools
Collection of machine learning related notebooks to share.
ML_Notebooks Collection of machine learning related notebooks to share. Notebooks GAN_distributed_training.ipynb In this Notebook, TensorFlow's tutori
A simple script to login into twitter using Selenium in python.
Quick Talk A simple script to login into twitter using Selenium in python. I was looking for a way to login into twitter using Selenium in python. Sin
Public scripts, services, and configuration for running a smart home K3S network cluster
makerhouse_network Public scripts, services, and configuration for running MakerHouse's home network. This network supports: TODO features here For mo
Using openpyxl in Python, performed following task
Python-Automation-with-openpyxl Using openpyxl in Python, performed following tasks on an Excel Sheet containing Product Suppliers along with their pr
Memoized coduals - Shows that it is possible to implement reverse mode autodiff using a variation on the dual numbers called the codual numbers
The dual numbers can do efficient autodiff! The codual numbers are a simple meth
Best practices for segmentation of the corporate network of any company
Best-practice-for-network-segmentation What is this? This project was created to publish the best practices for segmentation of the corporate network
How to detect objects in real time by using Jupyter Notebook and Neural Networks , by using Yolo3
Real Time Object Recognition From your Screen Desktop . In this post, I will explain how to build a simply program to detect objects from you desktop
This project consists of data analysis and data visualization (done using python)of all IPL seasons from 2008 to 2019 and answering the most asked questions about the IPL.
IPL-data-analysis This project consists of data analysis and data visualization of all IPL seasons from 2008 to 2019 and answering the most asked ques
Repo for the paper Extrapolating from a Single Image to a Thousand Classes using Distillation
Extrapolating from a Single Image to a Thousand Classes using Distillation by Yuki M. Asano* and Aaqib Saeed* (*Equal Contribution) Extrapolating from
A group management bot written in python3 using the python-telegram-bot library.
Chika Fujiwara A modular telegram Python bot running on python3 with an sqlalchemy database. Originally a Marie fork, Chika was created for personal u
🌐 Tools for Networking
🌐 Network Tools Tools for Networking This repository contains the tools needed to make networking easier. Make sure to download all of the requiremen
LEDNet: A Lightweight Encoder-Decoder Network for Real-time Semantic Segmentation
LEDNet: A Lightweight Encoder-Decoder Network for Real-time Semantic Segmentation Table of Contents: Introduction Project Structure Installation Datas
LightNet++: Boosted Light-weighted Networks for Real-time Semantic Segmentation
LightNet++ !!!New Repo.!!! ⇒ EfficientNet.PyTorch: Concise, Modular, Human-friendly PyTorch implementation of EfficientNet with Pre-trained Weights !!
Proposal, Tracking and Segmentation (PTS): A Cascaded Network for Video Object Segmentation
Proposal, Tracking and Segmentation (PTS): A Cascaded Network for Video Object Segmentation By Qiang Zhou*, Zilong Huang*, Lichao Huang, Han Shen, Yon
FusionNet: A deep fully residual convolutional neural network for image segmentation in connectomics
FusionNet_Pytorch FusionNet: A deep fully residual convolutional neural network for image segmentation in connectomics Requirements Pytorch 0.1.11 Pyt
TransferNet: Learning Transferrable Knowledge for Semantic Segmentation with Deep Convolutional Neural Network
TransferNet: Learning Transferrable Knowledge for Semantic Segmentation with Deep Convolutional Neural Network Created by Seunghoon Hong, Junhyuk Oh,
Files for a tutorial to train SegNet for road scenes using the CamVid dataset
SegNet and Bayesian SegNet Tutorial This repository contains all the files for you to complete the 'Getting Started with SegNet' and the 'Bayesian Seg
Credit EDA Case Study Using Python
This case study aims to identify patterns which indicate if a client has difficulty paying their installments which may be used for taking actions such as denying the loan, reducing the amount of loan, lending (to risky applicants) at a higher interest rate, etc
IA for recognising Traffic Signs using Keras [Tensorflow]
Traffic Signs Recognition ⚠️ 🚦 Fundamentals of Intelligent Systems Introduction 📄 Development of a neural network capable of recognizing nine differ
Elgamal-and-peer2peer-communication - This project simulates the message transportation between two clients using elgamal cryptography
elgamal-and-peer2peer-communication This project simulates the message transport
Opencv-image-filters - A camera to capture videos in real time by placing filters using Python with the help of the Tkinter and OpenCV libraries
Opencv-image-filters - A camera to capture videos in real time by placing filters using Python with the help of the Tkinter and OpenCV libraries
VDLdraw - Batch plot the log files exported from VisualDL using Matplotlib
VDLdraw Batch plot the log files exported from VisualDL using Matplotlib. At pre
Using Global fishing watch's data to build a machine learning model that can identify illegal fishing and poaching activities through satellite and geo-location data.
Using Global fishing watch's data to build a machine learning model that can identify illegal fishing and poaching activities through satellite and geo-location data.
A crypto wallet to send bnb and ether coin using web3.py and moralis speedy node
A crypto wallet to send bnb and ether coin using web3.py and moralis speedy node
From Perceptron model to Deep Neural Network from scratch in Python.
Neural-Network-Basics Aim of this Repository: From Perceptron model to Deep Neural Network (from scratch) in Python. ** Currently working on a basic N
Book Recommender System Using Sci-kit learn N-neighbours
Model-Based-Recommender-Engine I created a book Recommender System using Sci-kit learn's N-neighbours algorithm for my model and the streamlit library
A Bot that Forwards Tweets to Telegram using Airtable as a database.
Twitter Telegram Forward A Bot that Forwards Tweets to Telegram using Airtable as a Database. Features: Handles multiple twitter and telegram channels
This repository is a basic Machine Learning train & validation Template (Using PyTorch)
pytorch_ml_template This repository is a basic Machine Learning train & validation Template (Using PyTorch) TODO Markdown 사용법 Build Docker 사용법 Anacond
A Python application that helps users determine their calorie intake, and automatically generates customized weekly meal and workout plans based on metrics computed using their physical parameters
A Python application that helps users determine their calorie intake, and automatically generates customized weekly meal and workout plans based on metrics computed using their physical parameters
The undersampled DWI image using Slice-Interleaved Diffusion Encoding (SIDE) method can be reconstructed by the UNet network.
UNet-SIDE The undersampled DWI image using Slice-Interleaved Diffusion Encoding (SIDE) method can be reconstructed by the UNet network. For Super Reso
Spy Ad Network - Spy Ad Network Detection With Python
Spy Ad Network Spy Ad Network Detection Jumps from link to link to access a site
Weakly-supervised semantic image segmentation with CNNs using point supervision
Code for our ECCV paper What's the Point: Semantic Segmentation with Point Supervision. Summary This library is a custom build of Caffe for semantic i
Code repository for Self-supervised Structure-sensitive Learning, CVPR'17
Self-supervised Structure-sensitive Learning (SSL) Ke Gong, Xiaodan Liang, Xiaohui Shen, Liang Lin, "Look into Person: Self-supervised Structure-sensi