4752 Repositories
Python Keras-Image-Embeddings-using-Contrastive-Loss Libraries
Django-discord-bot - Framework for creating Discord bots using Django
django-discord-bot Framework for creating Discord bots using Django Uses ASGI fo
ReLoss - Official implementation for paper "Relational Surrogate Loss Learning" ICLR 2022
Relational Surrogate Loss Learning (ReLoss) Official implementation for paper "R
Frbmclust - Clusterize FRB profiles using hierarchical clustering, plot corresponding parameters distributions
frbmclust Getting Started Clusterize FRB profiles using hierarchical clustering,
Event sourced bank - A wide-and-shallow example using the Python event sourcing library
Event Sourced Bank A "wide but shallow" example of using the Python event sourci
Crypto-trading-simulator - Cryptocurrency trading simulator using Python, Streamlit
Crypto Trading Simulator Run streamlit run main.py Dependency Python 3 streamli
TwitterBot-ImageCollector - Twitter bot that collects images from likes saves the image
TwitterBot-ImageCollector Bot de Twitter que recolecta imagenes a partir de los
LyricsGenerator - A simple GUI made using Python(Tkinter) for generating song lyrics
Lyrics Generator Reference :- https://www.geeksforgeeks.org/create-a-gui-to-extr
Connexion-faker - Auto-generate mocks from your Connexion API using OpenAPI
Connexion Faker Get Started Install With poetry: poetry add connexion-faker # a
SimCTG - A Contrastive Framework for Neural Text Generation
A Contrastive Framework for Neural Text Generation Authors: Yixuan Su, Tian Lan,
Example-custom-ml-block-keras - Custom Keras ML block example for Edge Impulse
Custom Keras ML block example for Edge Impulse This repository is an example on
OS Algo Visualization - Operating system algorithm visualization using python pygame library
OS_Algo_Visualization Operating system algorithm visualization using python pyga
Speed-Test - You can check your intenet speed using this tool
Speed-Test Tool By Hez_X AVAILABLE ON : Termux & Kali linux & Ubuntu (Linux E
Digitalizing-Prescription-Image - PIRDS - Prescription Image Recognition and Digitalizing System is a OCR make with Tensorflow
Digitalizing-Prescription-Image PIRDS - Prescription Image Recognition and Digit
ProjectManagementWebsite - Project management website for CMSC495 built using the Django stack
ProjectManagementWebsite A minimal project management website for CMSC495 built
Hashcrack: Hash Bruteforse tool using python
HashCrack Hash Bruteforse tool Usage hashcrack.py -n 6 -c lower -l 5 -a md5 -t 3
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
SUPERVISED-CONTRASTIVE-LEARNING-FOR-PRE-TRAINED-LANGUAGE-MODEL-FINE-TUNING - The Facebook paper about fine tuning RoBERTa with contrastive loss
"# SUPERVISED-CONTRASTIVE-LEARNING-FOR-PRE-TRAINED-LANGUAGE-MODEL-FINE-TUNING" i
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
Official code release for: EditGAN: High-Precision Semantic Image Editing
Official code release for: EditGAN: High-Precision Semantic Image Editing
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
Image generation API.
Image Generator API This is an api im working on Currently its just a test project Im trying to make custom readme images with your discord account pr
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
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.
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...).
Code and Datasets from the paper "Self-supervised contrastive learning for volcanic unrest detection from InSAR data"
Code and Datasets from the paper "Self-supervised contrastive learning for volcanic unrest detection from InSAR data" You can download the pretrained
DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generative Transformers
DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generative Transformers Authors: Jaemin Cho, Abhay Zala, and Mohit Bansal (
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
PyTorch implementation of the Crafting Better Contrastive Views for Siamese Representation Learning
Crafting Better Contrastive Views for Siamese Representation Learning This is the official PyTorch implementation of the ContrastiveCrop paper: @artic
Dataset Condensation with Contrastive Signals
Dataset Condensation with Contrastive Signals This repository is the official implementation of Dataset Condensation with Contrastive Signals (DCC). T
Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework
Official repository of OFA. Paper: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework
Code for our WACV 2022 paper "Hyper-Convolution Networks for Biomedical Image Segmentation"
Hyper-Convolution Networks for Biomedical Image Segmentation Code for our WACV 2022 paper "Hyper-Convolution Networks for Biomedical Image Segmentatio
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.
Image2scan - a python program that can be applied on an image in order to get a scan of it back
image2scan Purpose image2scan is a python program that can be applied on an image in order to get a scan of it back. For this purpose, it searches for
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.
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
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
OMLT: Optimization and Machine Learning Toolkit
OMLT is a Python package for representing machine learning models (neural networks and gradient-boosted trees) within the Pyomo optimization environment.
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
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
PyTorch implementation for NCL (Neighborhood-enrighed Contrastive Learning)
NCL (Neighborhood-enrighed Contrastive Learning) This is the official PyTorch implementation for the paper: Zihan Lin*, Changxin Tian*, Yupeng Hou* Wa
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.
Different steganography methods with examples and my own small image database
literally-the-most-useless-project [Different steganography methods with examples and my own small image database] This project currently contains thr
A visual indicator of what environment/system you're using in django
A visual indicator of what environment/system you're using in django
Image-to-image regression with uncertainty quantification in PyTorch
Image-to-image regression with uncertainty quantification in PyTorch. Take any dataset and train a model to regress images to images with rigorous, distribution-free uncertainty quantification.
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
Reading list for research topics in Masked Image Modeling
awesome-MIM Reading list for research topics in Masked Image Modeling(MIM). We list the most popular methods for MIM, if I missed something, please su
A framework for GPU based high-performance medical image processing and visualization
FAST is an open-source cross-platform framework with the main goal of making it easier to do high-performance processing and visualization of medical images on heterogeneous systems utilizing both multi-core CPUs and GPUs. To achieve this, FAST use modern C++, OpenCL and OpenGL.
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
DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generative Transformers
DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generative Transformers Authors: Jaemin Cho, Abhay Zala, and Mohit Bansal (
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
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.
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
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.
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 python scripts that uses 3 different feature extraction methods such as SIFT, SURF and ORB to find a book in a video clip and project trailer of a movie based on that book, on to it.
A python scripts that uses 3 different feature extraction methods such as SIFT, SURF and ORB to find a book in a video clip and project trailer of a movie based on that book, on to it.
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.
Supervised Contrastive Learning for Product Matching
Contrastive Product Matching This repository contains the code and data download links to reproduce the experiments of the paper "Supervised Contrasti
Official repository for GCR rerank, a GCN-based reranking method for both image and video re-ID
Official repository for GCR rerank, a GCN-based reranking method for both image and video re-ID
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
End-to-end image captioning with EfficientNet-b3 + LSTM with Attention
Image captioning End-to-end image captioning with EfficientNet-b3 + LSTM with Attention Model is seq2seq model. In the encoder pretrained EfficientNet
This project uses ViT to perform image classification tasks on DATA set CIFAR10.
Vision-Transformer-Multiprocess-DistributedDataParallel-Apex Introduction This project uses ViT to perform image classification tasks on DATA set CIFA
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
NeuroGen: activation optimized image synthesis for discovery neuroscience
NeuroGen: activation optimized image synthesis for discovery neuroscience NeuroGen is a framework for synthesizing images that control brain activatio
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;
A small tool to test and visualize protein embeddings and amino acid proportions.
polyprotein_stats A small tool to test and visualize protein embeddings and amino acid proportions. Currently deployed on streamlit.io. Given a set of
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
SCI-AIDE : High-fidelity Few-shot Histopathology Image Synthesis for Rare Cancer Diagnosis
SCI-AIDE : High-fidelity Few-shot Histopathology Image Synthesis for Rare Cancer Diagnosis Pretrained Models In this work, we created synthetic tissue
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