2056 Repositories
Python time-series-anomaly-detection Libraries
DIAL(Did I Alert Lambda?) is a centralised security misconfiguration detection framework which completely runs on AWS Managed services like AWS API Gateway, AWS Event Bridge & AWS Lambda
DIAL(Did I Alert Lambda?) is a centralised security misconfiguration detection framework which completely runs on AWS Managed services like AWS API Gateway, AWS Event Bridge & AWS Lambda
HatSploit collection of generic payloads designed to provide a wide range of attacks without having to spend time writing new ones.
HatSploit collection of generic payloads designed to provide a wide range of attacks without having to spend time writing new ones.
Deep Learning for Time Series Forecasting.
nixtlats:Deep Learning for Time Series Forecasting [nikstla] (noun, nahuatl) Period of time. State-of-the-art time series forecasting for pytorch. Nix
[SDM 2022] Towards Similarity-Aware Time-Series Classification
SimTSC This is the PyTorch implementation of SDM2022 paper Towards Similarity-Aware Time-Series Classification. We propose Similarity-Aware Time-Serie
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
[ACM MM 2021] Multiview Detection with Shadow Transformer (and View-Coherent Data Augmentation)
Multiview Detection with Shadow Transformer (and View-Coherent Data Augmentation) [arXiv] [paper] @inproceedings{hou2021multiview, title={Multiview
Unifying Global-Local Representations in Salient Object Detection with Transformer
GLSTR (Global-Local Saliency Transformer) This is the official implementation of paper "Unifying Global-Local Representations in Salient Object Detect
This is a code repository for paper OODformer: Out-Of-Distribution Detection Transformer
OODformer: Out-Of-Distribution Detection Transformer This repo is the official the implementation of the OODformer: Out-Of-Distribution Detection Tran
Dynamic Head: Unifying Object Detection Heads with Attentions
Dynamic Head: Unifying Object Detection Heads with Attentions dyhead_video.mp4 This is the official implementation of CVPR 2021 paper "Dynamic Head: U
Facial Expression Detection In The Realtime
The human's facial expressions is very important to detect thier emotions and sentiment. It can be very efficient to use to make our computers make interviews. Furthermore, we have robots now can detect the human's emotions and based on thats take an action .etc. So, It will be better to provide a tool or model for this.
BADet: Boundary-Aware 3D Object Detection from Point Clouds (Pattern Recognition 2022)
BADet: Boundary-Aware 3D Object Detection from Point Clouds (Pattern Recognition
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
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
Public release of Telepathy, an OSINT toolkit for investigating Telegram groups. Enhanced features and improvements will be added over time.
Telepathy Welcome to Telepathy, an OSINT toolkit for scraping Telegram data to help investigate shady goings on. Currently, the tool is limited to scr
Human pose estimation from video plays a critical role in various applications such as quantifying physical exercises, sign language recognition, and full-body gesture control.
Pose Detection Project Description: Human pose estimation from video plays a critical role in various applications such as quantifying physical exerci
Minimalistic tool to visualize how the routes to a given target domain change over time, feat. Python 3.10 & mermaid.js
Minimalistic tool to visualize how the routes to a given target domain change over time, feat. Python 3.10 & mermaid.js
pyhakuna is a client to access the API of the time keeping service hakuna.ch.
pyhakuna pyhakuna is a client to access the API of the time keeping service hakuna.ch. The Hakuna API is – unfortunately – personal and currently does
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
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.
Document manipulation detection with python
image manipulation detection task: -- tianchi function image segmentation salie
PyTorch implementation of Higher Order Recurrent Space-Time Transformer
Higher Order Recurrent Space-Time Transformer (HORST) This is the official PyTorch implementation of Higher Order Recurrent Space-Time Transformer. Th
GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond
GCNet for Object Detection By Yue Cao, Jiarui Xu, Stephen Lin, Fangyun Wei, Han Hu. This repo is a official implementation of "GCNet: Non-local Networ
Official PyTorch implementation of Time-aware Large Kernel (TaLK) Convolutions (ICML 2020)
Time-aware Large Kernel (TaLK) Convolutions (Lioutas et al., 2020) This repository contains the source code, pre-trained models, as well as instructio
Few-Shot-Intent-Detection includes popular challenging intent detection datasets with/without OOS queries and state-of-the-art baselines and results.
Few-Shot-Intent-Detection Few-Shot-Intent-Detection is a repository designed for few-shot intent detection with/without Out-of-Scope (OOS) intents. It
Harmony, a discord clone, allows users to chat with other users in real time via servers, channels, and direct messages
Harmony, a discord clone, allows users to chat with other users in real time via servers, channels, and direct messages
Nicely is a real-time Feedback and Intervention Program Depression is a prevalent issue across all age groups, socioeconomic classes, and cultural identities.
Nicely is a real-time Feedback and Intervention Program Depression is a prevalent issue across all age groups, socioeconomic classes, and cultural identities.
Assginment for UofT CSC420: Intro to Image Understanding
Run the code Open edge_detection.ipynb in google colab. Upload image1.jpg,image2.jpg and my_image.jpg to '/content/drive/My Drive'. chooose 'Run all'
Dictionary Learning with Uniform Sparse Representations for Anomaly Detection
Dictionary Learning with Uniform Sparse Representations for Anomaly Detection Implementation of the Uniform DL Representation for AD algorithm describ
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]
Deeplearning project at The Technological University of Denmark (DTU) about Neural ODEs for finding dynamics in ordinary differential equations and real world time series data
Authors Marcus Lenler Garsdal, [email protected] Valdemar Søgaard, [email protected] Simon Moe Sørensen, [email protected] Introduction This repo contains the
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
A simple code to perform canny edge contrast detection on images.
CECED-Canny-Edge-Contrast-Enhanced-Detection A simple code to perform canny edge contrast detection on images. A simple code to process images using c
Python bot created with Selenium that can guess the daily Wordle word correct 96.8% of the time.
Wordle_Bot Python bot created with Selenium that can guess the daily Wordle word correct 96.8% of the time. It will log onto the wordle website and en
LaneDetectionAndLaneKeeping - Lane Detection And Lane Keeping
LaneDetectionAndLaneKeeping This project is part of my bachelor's thesis. The go
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
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 !!
Source code for our CVPR 2019 paper - PPGNet: Learning Point-Pair Graph for Line Segment Detection
PPGNet: Learning Point-Pair Graph for Line Segment Detection PyTorch implementation of our CVPR 2019 paper: PPGNet: Learning Point-Pair Graph for Line
An open-source outlier detection package by Getcontact Data Team
pyfbad The pyfbad library supports anomaly detection projects. An end-to-end anomaly detection application can be written using the source codes of th
Sentinel-1 vessel detection model used in the xView3 challenge
sar_vessel_detect Code for the AI2 Skylight team's submission in the xView3 competition (https://iuu.xview.us) for vessel detection in Sentinel-1 SAR
[WWW 2022] Zero-Shot Stance Detection via Contrastive Learning
PT-HCL for Zero-Shot Stance Detection The code of this repository is constantly being updated... Please look forward to it! Introduction This reposito
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
A simple python module to generate anchor (aka default/prior) boxes for object detection tasks.
PyBx WIP A simple python module to generate anchor (aka default/prior) boxes for object detection tasks. Calculated anchor boxes are returned as ndarr
Volta: A Virtual Assistant which increases your productivity with time as you use it…
Volta Official Documentation Overview & Purpose Volta: A Virtual Assistant which increases your productivity with time as you use it… Volta, developed
AI Face Mesh: This is a simple face mesh detection program based on Artificial intelligence.
AI Face Mesh: This is a simple face mesh detection program based on Artificial Intelligence which made with Python. It's able to detect 468 different
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
Calendar heatmaps from Pandas time series data
Note: See MarvinT/calmap for the maintained version of the project. That is also the version that gets published to PyPI and it has received several f
Object Detection Projekt in GKI WS2021/22
tfObjectDetection Object Detection Projekt with tensorflow in GKI WS2021/22 Docker Container: docker run -it --name --gpus all -v path/to/project:p
Data-Uncertainty Guided Multi-Phase Learning for Semi-supervised Object Detection
An official implementation of paper Data-Uncertainty Guided Multi-Phase Learning for Semi-supervised Object Detection
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
Colour detection is necessary to recognize objects, it is also used as a tool in various image editing and drawing apps.
Colour Detection On Image Colour detection is the process of detecting the name of any color. Simple isn’t it? Well, for humans this is an extremely e
Mail-Checker is a python script that lets you see your mails directly from the terminal without having to login each time.
Mail-Checker ##Mail-Checker is a python script that lets you see your mails directly from the terminal without having to login each time. ##Before you
👄 The most accurate natural language detection library for Python, suitable for long and short text alike
1. What does this library do? Its task is simple: It tells you which language some provided textual data is written in. This is very useful as a prepr
Language Used: Python . Made in Jupyter(Anaconda) notebook.
FACE-DETECTION-ATTENDENCE-SYSTEM Made in Jupyter(Anaconda) notebook. Language Used: Python Steps to perform before running the program : Install Anaco
Mass-unscrobble Last.fm scrobbles based on artist, track title, or time of day of the scrobble.
Unscrobbler This program is designed to mass-unscrobble Last.fm scrobbles based on artist, track title, or time of day of the scrobble. For example, i
YoloV3 Implemented in Tensorflow 2.0
YoloV3 Implemented in TensorFlow 2.0 This repo provides a clean implementation of YoloV3 in TensorFlow 2.0 using all the best practices. Key Features
Practical Machine Learning with Python
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
Security audit Python project dependencies against security advisory databases.
Security audit Python project dependencies against security advisory databases.
A task scheduler with task scheduling, timing and task completion time tracking functions
A task scheduler with task scheduling, timing and task completion time tracking functions. Could be helpful for time management in daily life.
The official TensorFlow implementation of the paper Action Transformer: A Self-Attention Model for Short-Time Pose-Based Human Action Recognition
Action Transformer A Self-Attention Model for Short-Time Human Action Recognition This repository contains the official TensorFlow implementation of t
The dataset of tweets pulling from Twitters with keyword: Hydroxychloroquine, location: US, Time: 2020
HCQ_Tweet_Dataset: FREE to Download. Keywords: HCQ, hydroxychloroquine, tweet, twitter, COVID-19 This dataset is associated with the paper "Understand
[SDM 2022] Towards Similarity-Aware Time-Series Classification
SimTSC This is the PyTorch implementation of SDM2022 paper Towards Similarity-Aware Time-Series Classification. We propose Similarity-Aware Time-Serie
Alignment Attention Fusion framework for Few-Shot Object Detection
AAF framework Framework generalities This repository contains the code of the AAF framework proposed in this paper. The main idea behind this work is
Decompose to Adapt: Cross-domain Object Detection via Feature Disentanglement
Decompose to Adapt: Cross-domain Object Detection via Feature Disentanglement In this project, we proposed a Domain Disentanglement Faster-RCNN (DDF)
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
A framework for multi-step probabilistic time-series/demand forecasting models
JointDemandForecasting.py A framework for multi-step probabilistic time-series/demand forecasting models File stucture JointDemandForecasting contains
[Pedestron] Generalizable Pedestrian Detection: The Elephant In The Room. @ CVPR2021
Pedestron Pedestron is a MMdetection based repository, that focuses on the advancement of research on pedestrian detection. We provide a list of detec
Sentinel-1 SAR time series analysis for OSINT use
SARveillance Sentinel-1 SAR time series analysis for OSINT use. Description Generates a time lapse GIF of the Sentinel-1 satellite images for the loca
Creating a python chatbot that Starbucks users can text to place an order + help cut wait time of a normal coffee.
Creating a python chatbot that Starbucks users can text to place an order + help cut wait time of a normal coffee.
Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥
TensorLayer is a novel TensorFlow-based deep learning and reinforcement learning library designed for researchers and engineers. It provides an extens
deep learning for image processing including classification and object-detection etc.
深度学习在图像处理中的应用教程 前言 本教程是对本人研究生期间的研究内容进行整理总结,总结的同时也希望能够帮助更多的小伙伴。后期如果有学习到新的知识也会与大家一起分享。 本教程会以视频的方式进行分享,教学流程如下: 1)介绍网络的结构与创新点 2)使用Pytorch进行网络的搭建与训练 3)使用Te
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
macOS development environment setup: Setting up a new developer machine can be an ad-hoc, manual, and time-consuming process.
dev-setup Motivation Setting up a new developer machine can be an ad-hoc, manual, and time-consuming process. dev-setup aims to simplify the process w
Jupyter notebook and datasets from the pandas Q&A video series
Python pandas Q&A video series Read about the series, and view all of the videos on one page: Easier data analysis in Python with pandas. Jupyter Note
MTCNN face detection implementation for TensorFlow, as a PIP package.
MTCNN Implementation of the MTCNN face detector for Keras in Python3.4+. It is written from scratch, using as a reference the implementation of MTCNN
Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 Tensorflow 2.0
NLP-Models-Tensorflow, Gathers machine learning and tensorflow deep learning models for NLP problems, code simplify inside Jupyter Notebooks 100%. Tab
🙄 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
This is a simple face recognition mini project that was completed by a team of 3 members in 1 week's time
PeekingDuckling 1. Description This is an implementation of facial identification algorithm to detect and identify the faces of the 3 team members Cla
Python package for Near Duplicate Video Detection (Perceptual Video Hashing) - Get a 64-bit comparable hash-value for any video.
The Python package for near duplicate video detection ⭐️ Introduction Videohash is a Python package for detecting near-duplicate videos (Perceptual Vi
A High-Quality Real Time Upscaler for Anime Video
Anime4K Anime4K is a set of open-source, high-quality real-time anime upscaling/denoising algorithms that can be implemented in any programming langua
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 Transformer-Based Siamese Network for Change Detection
ChangeFormer: A Transformer-Based Siamese Network for Change Detection (Under review at IGARSS-2022) Wele Gedara Chaminda Bandara, Vishal M. Patel Her
Code for "Multi-Time Attention Networks for Irregularly Sampled Time Series", ICLR 2021.
Multi-Time Attention Networks (mTANs) This repository contains the PyTorch implementation for the paper Multi-Time Attention Networks for Irregularly
End-to-end Temporal Action Detection with Transformer. [Under review]
TadTR: End-to-end Temporal Action Detection with Transformer By Xiaolong Liu, Qimeng Wang, Yao Hu, Xu Tang, Song Bai, Xiang Bai. This repo holds the c
A simple version for graphfpn
GraphFPN: Graph Feature Pyramid Network for Object Detection Download graph-FPN-main.zip For training , run: python train.py For test with Graph_fpn
We simulate traveling back in time with a modern camera to rephotograph famous historical subjects.
[SIGGRAPH Asia 2021] Time-Travel Rephotography [Project Website] Many historical people were only ever captured by old, faded, black and white photos,
Script that allows to download data with satellite's orbit height and create CSV with their change in time.
Satellite orbit height ◾ Requirements Python = 3.8 Packages listen in reuirements.txt (run pip install -r requirements.txt) Account on Space Track ◾
Image based Human Fall Detection
Here I integrated the YOLOv5 object detection algorithm with my own created dataset which consists of human activity images to achieve low cost, high accuracy, and real-time computing requirements
Make YouTube videos tasks in Todoist faster and time efficient!
Youtubist Basically fork of yt-dlp python module to my needs. You can paste playlist or channel link on the YouTube. It will automatically format to s
PyTorch GPU implementation of the ES-RNN model for time series forecasting
Fast ES-RNN: A GPU Implementation of the ES-RNN Algorithm A GPU-enabled version of the hybrid ES-RNN model by Slawek et al that won the M4 time-series
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
LSTM Neural Network for Time Series Prediction LSTM built using the Keras Python package to predict time series steps and sequences. Includes sine wav
Implementation of deep learning models for time series in PyTorch.
List of Implementations: Currently, the reimplementation of the DeepAR paper(DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks
Fully Convlutional Neural Networks for state-of-the-art time series classification
Deep Learning for Time Series Classification As the simplest type of time series data, univariate time series provides a reasonably good starting poin
Practical Time-Series Analysis, published by Packt
Practical Time-Series Analysis This is the code repository for Practical Time-Series Analysis, published by Packt. It contains all the supporting proj
Machine Learning for Time-Series with Python.Published by Packt
Machine-Learning-for-Time-Series-with-Python Become proficient in deriving insights from time-series data and analyzing a model’s performance Links Am
Deep Learning for Time Series Classification
Deep Learning for Time Series Classification This is the companion repository for our paper titled "Deep learning for time series classification: a re
U-Time: A Fully Convolutional Network for Time Series Segmentation
U-Time & U-Sleep Official implementation of The U-Time [1] model for general-purpose time-series segmentation. The U-Sleep [2] model for resilient hig
Code from Daniel Lemire, A Better Alternative to Piecewise Linear Time Series Segmentation
PiecewiseLinearTimeSeriesApproximation code from Daniel Lemire, A Better Alternative to Piecewise Linear Time Series Segmentation, SIAM Data Mining 20