2024 Repositories
Python awesome-few-shot-object-detection Libraries
Edison AT is software Depression Assistant personal.
Edison AT Edison AT is software / program Depression Assistant personal. Feature: Analyze emotional real-time from face. Audio Edison(Comingsoon relea
Create an application to visualize single/multiple Xandar Kardian people counting sensors detection result for a indoor area.
Program Design Purpose: We want to create an application to visualize single/multiple Xandar Kardian people counting sensors detection result for a indoor area.
Detection tool of malware(s) by checksum (useful for forensic)
🐍 malware_checker.py Detection tool of malware(s) by checksum (useful for forensic) 📦 Dependencies installation $ pip3 install -r requirements.txt
Underwater industrial application yolov5m6
This project wins the intelligent algorithm contest finalist award and stands out from over 2000teams in China Underwater Robot Professional Contest, entering the final of China Underwater Robot Professional Contest and ranking 13 out of 31 teams in finals.
Drowsiness Detection and Alert System
A countless number of people drive on the highway day and night. Taxi drivers, bus drivers, truck drivers, and people traveling long-distance suffer from lack of sleep.
Depression Asisstant GDSC Challenge Solution
Depression Asisstant can help you give solution. Please using Python version 3.9.5 for contribute.
Explaining Deep Neural Networks - A comparison of different CAM methods based on an insect data set
Explaining Deep Neural Networks - A comparison of different CAM methods based on an insect data set This is the repository for the Deep Learning proje
Computer Vision Paper Reviews with Key Summary of paper, End to End Code Practice and Jupyter Notebook converted papers
Computer-Vision-Paper-Reviews Computer Vision Paper Reviews with Key Summary along Papers & Codes. Jonathan Choi 2021 The repository provides 100+ Pap
[ECE NTUA] 👁 Computer Vision - Lab Projects & Theoretical Problem Sets (2020-2021)
Computer Vision - NTUA (2020-2021) This repository hosts the lab projects and theoretical problem sets of the Computer Vision course held by ECE NTUA
🤖 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
Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners
DART Implementation for ICLR2022 paper Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners. Environment [email protected] Use pi
Score refinement for confidence-based 3D multi-object tracking
Score refinement for confidence-based 3D multi-object tracking Our video gives a brief explanation of our Method. This is the official code for the pa
A face dataset generator with out-of-focus blur detection and dynamic interval adjustment.
A face dataset generator with out-of-focus blur detection and dynamic interval adjustment.
MusicYOLO framework uses the object detection model, YOLOx, to locate notes in the spectrogram.
MusicYOLO MusicYOLO framework uses the object detection model, YOLOX, to locate notes in the spectrogram. Its performance on the ISMIR2014 dataset, MI
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
This is the code repository for the paper A hierarchical semantic segmentation framework for computer-vision-based bridge column damage detection
Bridge-damage-segmentation This is the code repository for the paper A hierarchical semantic segmentation framework for computer-vision-based bridge c
This repository contains a toolkit for collecting, labeling and tracking object keypoints
This repository contains a toolkit for collecting, labeling and tracking object keypoints. Object keypoints are semantic points in an object's coordinate frame.
Lightweight Salient Object Detection in Optical Remote Sensing Images via Feature Correlation
CorrNet This project provides the code and results for 'Lightweight Salient Object Detection in Optical Remote Sensing Images via Feature Correlation'
Distance-Ratio-Based Formulation for Metric Learning
Distance-Ratio-Based Formulation for Metric Learning Environment Python3 Pytorch (http://pytorch.org/) (version 1.6.0+cu101) json tqdm Preparing datas
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
PyTorch implementation for the paper Visual Representation Learning with Self-Supervised Attention for Low-Label High-Data Regime
Visual Representation Learning with Self-Supervised Attention for Low-Label High-Data Regime Created by Prarthana Bhattacharyya. Disclaimer: This is n
Change Detection in SAR Images Based on Multiscale Capsule Network
SAR_CD_MS_CapsNet Code for the paper "Change Detection in SAR Images Based on Multiscale Capsule Network" , IEEE Geoscience and Remote Sensing Letters
Out of Distribution Detection on Natural Adversarial Examples
OOD-on-NAE Research project on out of distribution detection for the Computer Vision course by Prof. Rob Fergus (CSCI-GA 2271) Paper out on arXiv - ht
EASY - Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients.
EASY - Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients. This repository is the official im
Official code of Team Yao at Multi-Modal-Fact-Verification-2022
Official code of Team Yao at Multi-Modal-Fact-Verification-2022 A Multi-Modal Fact Verification dataset released as part of the De-Factify workshop in
PyTorch implementation of our paper How robust are discriminatively trained zero-shot learning models?
How robust are discriminatively trained zero-shot learning models? This repository contains the PyTorch implementation of our paper How robust are dis
Official code of "Mitigating the Mutual Error Amplification for Semi-Supervised Object Detection"
CrossTeaching-SSOD 0. Introduction Official code of "Mitigating the Mutual Error Amplification for Semi-Supervised Object Detection" This repo include
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
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
Predict the spans of toxic posts that were responsible for the toxic label of the posts
toxic-spans-detection An attempt at the SemEval 2021 Task 5: Toxic Spans Detection. The Toxic Spans Detection task of SemEval2021 required participant
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.
Yolo object detection - Yolo object detection with python
How to run download required files make build_image make download Docker versio
Awesome open-source alternatives to SaaS
Awesome-oss-alternatives - Awesome list of open-source startup alternatives to well-known SaaS products
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
Object classification with basic computer vision techniques
naive-image-classification Object classification with basic computer vision techniques. Final assignment for the computer vision course I took at univ
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
Dynamic vae - Dynamic VAE algorithm is used for anomaly detection of battery data
Dynamic VAE frame Automatic feature extraction can be achieved by probability di
Improving Object Detection by Label Assignment Distillation
Improving Object Detection by Label Assignment Distillation This is the official implementation of the WACV 2022 paper Improving Object Detection by L
On Out-of-distribution Detection with Energy-based Models
On Out-of-distribution Detection with Energy-based Models This repository contains the code for the experiments conducted in the paper On Out-of-distr
PyTorch META-DATASET (Few-shot classification benchmark)
PyTorch META-DATASET (Few-shot classification benchmark) This repo contains a PyTorch implementation of meta-dataset and a unified implementation of s
Adversarial vulnerability of powerful near out-of-distribution detection
Adversarial vulnerability of powerful near out-of-distribution detection by Stanislav Fort In this repository we're collecting replications for the ke
PyTorch source code for Distilling Knowledge by Mimicking Features
LSHFM.detection This is the PyTorch source code for Distilling Knowledge by Mimicking Features. And this project contains code for object detection wi
Custom 64 bit shellcode encoder that evades detection and removes some common badchars (\x00\x0a\x0d\x20)
x64-shellcode-encoder Custom 64 bit shellcode encoder that evades detection and removes some common badchars (\x00\x0a\x0d\x20) Usage Using a generato
🤞 Website-Survival-Detection
- 🤞 Website-Survival-Detection It can help you to detect the survival status of the website in batches and return the status code! - 📜 Instructions
Labelbox is the fastest way to annotate data to build and ship artificial intelligence applications
Labelbox Labelbox is the fastest way to annotate data to build and ship artificial intelligence applications. Use this github repository to help you s
Really awesome semantic segmentation
really-awesome-semantic-segmentation A list of all papers on Semantic Segmentation and the datasets they use. This site is maintained by Holger Caesar
Continuous Security Group Rule Change Detection & Response at scale
Introduction Get notified of Security Group Changes across all AWS Accounts & Regions in an AWS Organization, with the ability to respond/revert those
A curated list and survey of awesome Vision Transformers.
English | 简体中文 A curated list and survey of awesome Vision Transformers. You can use mind mapping software to open the mind mapping source file. You c
A library for benchmarking, developing and deploying deep learning anomaly detection algorithms
A library for benchmarking, developing and deploying deep learning anomaly detection algorithms Key Features • Getting Started • Docs • License Introd
Awesome Transformers in Medical Imaging
This repo supplements our Survey on Transformers in Medical Imaging Fahad Shamshad, Salman Khan, Syed Waqas Zamir, Muhammad Haris Khan, Munawar Hayat,
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"
Unsupervised MRI Reconstruction via Zero-Shot Learned Adversarial Transformers
Official TensorFlow implementation of the unsupervised reconstruction model using zero-Shot Learned Adversarial TransformERs (SLATER). (https://arxiv.
List of awesome things around semantic segmentation 🎉
Awesome Semantic Segmentation List of awesome things around semantic segmentation 🎉 Semantic segmentation is a computer vision task in which we label
Deep Learning to Improve Breast Cancer Detection on Screening Mammography
Shield: This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Deep Learning to Improve Breast
Kaggle DSTL Satellite Imagery Feature Detection
Kaggle DSTL Satellite Imagery Feature Detection
Multiple Object Extraction from Aerial Imagery with Convolutional Neural Networks
This is an implementation of Volodymyr Mnih's dissertation methods on his Massachusetts road & building dataset and my original methods that are publi
Raster Vision is an open source Python framework for building computer vision models on satellite, aerial, and other large imagery sets
Raster Vision is an open source Python framework for building computer vision models on satellite, aerial, and other large imagery sets (including obl
It is an open dataset for object detection in remote sensing images.
RSOD-Dataset It is an open dataset for object detection in remote sensing images. The dataset includes aircraft, oiltank, playground and overpass. The
🛰️ Awesome Satellite Imagery Datasets
Awesome Satellite Imagery Datasets List of aerial and satellite imagery datasets with annotations for computer vision and deep learning. Newest datase
Small U-Net for vehicle detection
Small U-Net for vehicle detection Vivek Yadav, PhD Overview In this repository , we will go over using U-net for detecting vehicles in a video stream
Source code of all the projects of Udacity Self-Driving Car Engineer Nanodegree.
self-driving-car In this repository I will share the source code of all the projects of Udacity Self-Driving Car Engineer Nanodegree. Hope this might
This is a Keras-based Python implementation of DeepMask- a complex deep neural network for learning object segmentation masks
NNProject - DeepMask This is a Keras-based Python implementation of DeepMask- a complex deep neural network for learning object segmentation masks. Th
Simultaneous Detection and Segmentation
Simultaneous Detection and Segmentation This is code for the ECCV Paper: Simultaneous Detection and Segmentation Bharath Hariharan, Pablo Arbelaez,
PyTorch implemention of ICCV'21 paper SGPA: Structure-Guided Prior Adaptation for Category-Level 6D Object Pose Estimation
SGPA: Structure-Guided Prior Adaptation for Category-Level 6D Object Pose Estimation This is the PyTorch implemention of ICCV'21 paper SGPA: Structure
This is a simple framework to make object detection dataset very quickly
FastAnnotation Table of contents General info Requirements Setup General info This is a simple framework to make object detection dataset very quickly
Exadel CompreFace is a free and open-source face recognition GitHub project
Exadel CompreFace is a leading free and open-source face recognition system Exadel CompreFace is a free and open-source face recognition service that
Human Detection - Pedestrian Detection using OpenCV Python
Pedestrian Detection using OpenCV Python Follow us on Instagram for Machine Lear
Python Projects - Few Python projects with Testing using Pytest
Python_Projects Few Python projects : Fast_API_Docker_PyTest- Just a simple auto
Peak.py - An awesome tool to keep you up about servers and websites status
An In-house API Powered GUI App To Check Server Stats, Generate Logs And More Features To Be Added Soon.
Face and other object detection using OpenCV and ML Yolo
Object-and-Face-Detection-Using-Yolo- Opencv and YOLO object and face detection is implemented. You only look once (YOLO) is a state-of-the-art, real-
An curated collection of awesome resources about networking in cybersecurity
An ongoing curated collection of awesome software, libraries, frameworks, talks & videos, best practices, learning tutorials and important practical resources about networking in cybersecurity
Code base of object detection
rmdet code base of object detection. 环境安装: 1. 安装conda python环境 - `conda create -n xxx python=3.7/3.8` - `conda activate xxx` 2. 运行脚本,自动安装pytorch1
Google AI Open Images - Object Detection Track: Open Solution
Google AI Open Images - Object Detection Track: Open Solution This is an open solution to the Google AI Open Images - Object Detection Track 😃 More c
Airbus Ship Detection Challenge
Airbus Ship Detection Challenge This is an open solution to the Airbus Ship Detection Challenge. Our goals We are building entirely open solution to t
Cereal box identification in store shelves using computer vision and a single train image per model.
Product Recognition on Store Shelves Description You can read the task description here. Report You can read and download our report here. Step A - Mu
ThnoolBox - A thneed is a multi-use versatile object
ThnoolBox Have you ever wanted a collection of bodged desktop apps that are Lorax themed ? No ? Sucks to suck I guess Apps & their downsides CalculaTh
Code for an arcade pop-a-shot style basketball game on Raspberry Pi
Basketball-Game Code for an arcade pop-a-shot style basketball game on Raspberry Pi, made over the course of winter break 2022. How To Run: Running th
Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents
Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents [Project Page] [Paper] [Video] Wenlong Huang1, Pieter Abbee
This a classic fintech problem that introduces real life difficulties such as data imbalance. Check out the notebook to find out more!
Credit Card Fraud Detection Introduction Online transactions have become a crucial part of any business over the years. Many of those transactions use
A Discord Server Cloner Which Can Clone Any Discord Server In Just Few Minutes
A Discord Server Cloner Which Can Clone Any Discord Server In Just Few Minutes.
Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)
Awesome Visual-Transformer Collect some Transformer with Computer-Vision (CV) papers. If you find some overlooked papers, please open issues or pull r
Transformer in Computer Vision
Transformer-in-Vision A paper list of some recent Transformer-based CV works. If you find some ignored papers, please open issues or pull requests. **
A curated list of efficient attention modules
awesome-fast-attention A curated list of efficient attention modules
A general python framework for visual object tracking and video object segmentation, based on PyTorch
PyTracking A general python framework for visual object tracking and video object segmentation, based on PyTorch. 📣 Two tracking/VOS papers accepted
TransZero++: Cross Attribute-guided Transformer for Zero-Shot Learning
TransZero++ This repository contains the testing code for the paper "TransZero++: Cross Attribute-guided Transformer for Zero-Shot Learning" submitted
FSL-Mate: A collection of resources for few-shot learning (FSL).
FSL-Mate is a collection of resources for few-shot learning (FSL). In particular, FSL-Mate currently contains FewShotPapers: a paper list which tracks
Code to replicate the key results from Exploring the Limits of Out-of-Distribution Detection
Exploring the Limits of Out-of-Distribution Detection In this repository we're collecting replications for the key experiments in the Exploring the Li
KGDet: Keypoint-Guided Fashion Detection (AAAI 2021)
KGDet: Keypoint-Guided Fashion Detection (AAAI 2021) This is an official implementation of the AAAI-2021 paper "KGDet: Keypoint-Guided Fashion Detecti
Awesome AI Learning with +100 AI Cheat-Sheets, Free online Books, Top Courses, Best Videos and Lectures, Papers, Tutorials, +99 Researchers, Premium Websites, +121 Datasets, Conferences, Frameworks, Tools
All about AI with Cheat-Sheets(+100 Cheat-sheets), Free Online Books, Courses, Videos and Lectures, Papers, Tutorials, Researchers, Websites, Datasets
GANmouflage: 3D Object Nondetection with Texture Fields
GANmouflage: 3D Object Nondetection with Texture Fields Rui Guo1 Jasmine Collins
Catinthebox - Awesome bot for Mastodon
Cat In The Box :3 Description Awesome bot for Mastodon Requirements python pip g
This is a python project which detects color of an image when you double click on it.
This is a python project which detects color of an image when you double click on it. You have to press ESC button to close the pop-up Image window. There are mainly two library CV2 and Pandas that are used in this project.
The Face Mask recognition system uses AI technology to detect the person with or without a mask.
Face Mask Detection Face Mask Detection system built with OpenCV, Keras/TensorFlow using Deep Learning and Computer Vision concepts in order to detect
A novel Engagement Detection with Multi-Task Training (ED-MTT) system
A novel Engagement Detection with Multi-Task Training (ED-MTT) system which minimizes MSE and triplet loss together to determine the engagement level of students in an e-learning environment.
Can We Find Neurons that Cause Unrealistic Images in Deep Generative Networks?
Can We Find Neurons that Cause Unrealistic Images in Deep Generative Networks? Artifact Detection/Correction - Offcial PyTorch Implementation This rep
Customizable and open-sourced bot for a few private servers
MarlBot A private bot for controlling monkeys and turtles. Why does this bot exist? The bot exists as a general-purpose community bot for a select few
Python Computer Vision from Scratch
This repository explores the variety of techniques commonly used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both for specialized applications such as medical imaging, and for fun, consumer-level tasks such as image editing and stitching, which students can apply to their own personal photos and videos.
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
Minecraft Hack Detection With Python
Minecraft Hack Detection An attempt to try and use crowd sourced replays to find
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