3533 Repositories
Python model-based-testing Libraries
Community and sentiment analysis based on tweets
The project has set itself the goal of analyzing the thoughts and interaction of Italian users through the social posts expressed through the Twitter platform on the day of the entry into force of the new measures. In particular, we want to research the reference hubs present on the network, but also the sentiment and emotions of peoples with respect to the new limitations.
These are Simple python scripts to test/scan your network
Disclaimer This tool is for Educational purpose only. We do not promote or encourage any illegal activities. Summary These are Simple python scripts t
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
PyTorch Implementation of the SuRP algorithm by the authors of the AISTATS 2022 paper "An Information-Theoretic Justification for Model Pruning"
PyTorch Implementation of the SuRP algorithm by the authors of the AISTATS 2022 paper "An Information-Theoretic Justification for Model Pruning".
Binary++ is an esoteric programming language based on* binary
Binary++ is an esoteric programming language based on* binary. * It's meant to be based on binary, but you can write Binary++ code using different mea
A research of IT labor market based especially on hh.ru. Salaries, rate of technologies and etc.
hh_ru_research Проект реализован в учебных целях анализа рынка труда, в особенности по hh.ru Input data В качестве входных данных используются сериали
To build a regression model to predict the concrete compressive strength based on the different features in the training data.
Cement-Strength-Prediction Problem Statement To build a regression model to predict the concrete compressive strength based on the different features
Artificial Neural network regression model to predict the energy output in a combined cycle power plant.
Energy_Output_Predictor Artificial Neural network regression model to predict the energy output in a combined cycle power plant. Abstract Energy outpu
Contains a Jupyter Notebook for calculating remaining plants required based on field/lathhouse data.
Davis-Sunflowers-Su21 Project goals: Plants influence their reproduction and mating system in many ways. Various factors such as time of flowering, ab
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
Implementation of SOMs (Self-Organizing Maps) with neighborhood-based map topologies.
py-self-organizing-maps Simple implementation of self-organizing maps (SOMs) A SOM is an unsupervised method for learning a mapping from a discrete ne
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.
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
A custom DeepStack model that has been trained detecting ONLY the USPS logo
This repository provides a custom DeepStack model that has been trained detecting ONLY the USPS logo. This was created after I discovered that the Deepstack OpenLogo custom model I was using did not contain USPS.
MRC approach for Aspect-based Sentiment Analysis (ABSA)
B-MRC MRC approach for Aspect-based Sentiment Analysis (ABSA) Paper: Bidirectional Machine Reading Comprehension for Aspect Sentiment Triplet Extracti
Termordle - a terminal based wordle clone in python
Termordle - a terminal based wordle clone in python
Rank-One Model Editing for Locating and Editing Factual Knowledge in GPT
Rank-One Model Editing (ROME) This repository provides an implementation of Rank-One Model Editing (ROME) on auto-regressive transformers (GPU-only).
CLASSIX is a fast and explainable clustering algorithm based on sorting
CLASSIX Fast and explainable clustering based on sorting CLASSIX is a fast and explainable clustering algorithm based on sorting. Here are a few highl
FIRA: Fine-Grained Graph-Based Code Change Representation for Automated Commit Message Generation
FIRA is a learning-based commit message generation approach, which first represents code changes via fine-grained graphs and then learns to generate commit messages automatically.
PyTorch implementation of the ExORL: Exploratory Data for Offline Reinforcement Learning
ExORL: Exploratory Data for Offline Reinforcement Learning This is an original PyTorch implementation of the ExORL framework from Don't Change the Alg
Effect of Different Encodings and Distance Functions on Quantum Instance-based Classifiers
Effect of Different Encodings and Distance Functions on Quantum Instance-based Classifiers The repository contains the code to reproduce the experimen
CBO uses its Capital Tax model (CBO-CapTax) to estimate the effects of federal taxes on capital income from new investment
CBO’s CapTax Model CBO uses its Capital Tax model (CBO-CapTax) to estimate the effects of federal taxes on capital income from new investment. Specifi
Load Testing ML Microservices for Robustness and Scalability
The demo is aimed at getting started with load testing a microservice before taking it to production. We use FastAPI microservice (to predict weather) and Locust to load test the service (locally or on cloud). You can find detailed instructions in the Engineering MLOps book.
Galois is an auto code completer for code editors (or any text editor) based on OpenAI GPT-2.
Galois is an auto code completer for code editors (or any text editor) based on OpenAI GPT-2. It is trained (finetuned) on a curated list of approximately 45K Python (~470MB) files gathered from the Github. Currently, it just works properly on Python but not bad at other languages (thanks to GPT-2's power).
The source code for Generating Training Data with Language Models: Towards Zero-Shot Language Understanding.
SuperGen The source code for Generating Training Data with Language Models: Towards Zero-Shot Language Understanding. Requirements Before running, you
A Python based command line ARP Spoofer utility, which takes input as arguments for the exact target IP and gateway IP for which you wish to Spoof ARP request
A Python based command line ARP Spoofer utility, which takes input as arguments for the exact target IP and gateway IP for which you wish to Spoof ARP request
obj-encrypt is an encryption library based on the AES-256 algorithm.
obj-encrypt is an encryption library based on the AES-256 algorithm. It uses Python objects as the basic unit, which can convert objects into binary ciphertext and support decryption. Objects encrypted with obj-encrypt support TCP communication, database storage, and more.
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
A DOM-based G-Suite password sprayer and user enumerator
A DOM-based G-Suite password sprayer and user enumerator
Easily benchmark PyTorch model FLOPs, latency, throughput, max allocated memory and energy consumption
⏱ pytorch-benchmark Easily benchmark model inference FLOPs, latency, throughput, max allocated memory and energy consumption Install pip install pytor
NumPy-based implementation of a multilayer perceptron (MLP)
My own NumPy-based implementation of a multilayer perceptron (MLP). Several of its components can be tuned and played with, such as layer depth and size, hidden and output layer activation functions, weight decay and dropout.
Customised to detect objects automatically by a given model file(onnx)
LabelImg LabelImg is a graphical image annotation tool. It is written in Python and uses Qt for its graphical interface. Annotations are saved as XML
Autonomous Driving on Curvy Roads without Reliance on Frenet Frame: A Cartesian-based Trajectory Planning Method
C++/ROS Source Codes for "Autonomous Driving on Curvy Roads without Reliance on Frenet Frame: A Cartesian-based Trajectory Planning Method" published in IEEE Trans. Intelligent Transportation Systems by Bai Li, Yakun Ouyang, Li Li, and Youmin Zhang.
Doubly Robust Off-Policy Evaluation for Ranking Policies under the Cascade Behavior Model
Doubly Robust Off-Policy Evaluation for Ranking Policies under the Cascade Behavior Model About This repository contains the code to replicate the syn
Image-based Navigation in Real-World Environments via Multiple Mid-level Representations: Fusion Models Benchmark and Efficient Evaluation
Image-based Navigation in Real-World Environments via Multiple Mid-level Representations: Fusion Models Benchmark and Efficient Evaluation This reposi
Nested cross-validation is necessary to avoid biased model performance in embedded feature selection in high-dimensional data with tiny sample sizes
Pruner for nested cross-validation - Sphinx-Doc Nested cross-validation is necessary to avoid biased model performance in embedded feature selection i
LocUNet is a deep learning method to localize a UE based solely on the reported signal strengths from a set of BSs.
LocUNet LocUNet is a deep learning method to localize a UE based solely on the reported signal strengths from a set of BSs. The method utilizes accura
A Learning-based Camera Calibration Toolbox
Learning-based Camera Calibration A Learning-based Camera Calibration Toolbox Paper The pdf file can be found here. @misc{zhang2022learningbased,
This repository provides a PyTorch implementation and model weights for HCSC (Hierarchical Contrastive Selective Coding)
HCSC: Hierarchical Contrastive Selective Coding This repository provides a PyTorch implementation and model weights for HCSC (Hierarchical Contrastive
A model which classifies reviews as positive or negative.
SentiMent Analysis In this project I built a model to classify movie reviews fromn the IMDB dataset of 50K reviews. WordtoVec : Neural networks only w
Mini is a web browser application based on the Python PyQt web engine, made in 290 lines of code.
Mini Mini is a web browser application based on the Python PyQt web engine, made in 290 lines of code. The code is written and published as is, so the
Multi-Object Tracking in Satellite Videos with Graph-Based Multi-Task Modeling
TGraM Multi-Object Tracking in Satellite Videos with Graph-Based Multi-Task Modeling, Qibin He, Xian Sun, Zhiyuan Yan, Beibei Li, Kun Fu Abstract Rece
Convert Pytorch model to onnx or tflite, and the converted model can be visualized by Netron
Convert Pytorch model to onnx or tflite, and the converted model can be visualized by Netron
An easy way to access to your EPITECH subjects based on the Roslyn's database.
An easy way to access to your EPITECH subjects based on the Roslyn's database.
FBGen is simple facebook user based wordlist generator using Username/ID and cookie.
FBGen is simple facebook user based wordlist generator using Username/ID and cookie.
Generates password lists/dictionaries based on keywords written in python3.
dicbyru Introduction Generates password lists/dictionaries based on keywords. It uses the keywords and adds capital letters, numbers and special chara
Python based script to operate FFMPEG.
FMPConvert Python based script to operate FFMPEG. Ver 1.0 -- 2022.02.08 Feature ✅ Maximum compatibility: Third-party dependency libraries unused ✅ Che
Bash-based Python-venv convenience wrapper
venvrc Bash-based Python-venv convenience wrapper. Demo Install Copy venvrc file to ~/.venvrc, and add the following line to your ~/.bashrc file: # so
Recommender systems are the systems that are designed to recommend things to the user based on many different factors
Recommender systems are the systems that are designed to recommend things to the user based on many different factors. The recommender system deals with a large volume of information present by filtering the most important information based on the data provided by a user and other factors that take care of the user’s preference and interest.
This repository provides an efficient PyTorch-based library for training deep models.
An Efficient Library for Training Deep Models This repository provides an efficient PyTorch-based library for training deep models. Installation Make
A simple and secure password-based encryption & decryption algorithm based on hash functions, implemented solely based on python.
pyhcrypt A simple and secure password-based encryption & decryption algorithm based on hash functions, implemented solely based on python. Usage Pytho
Speech Emotion Recognition with Fusion of Acoustic- and Linguistic-Feature-Based Decisions
APSIPA-SER-with-A-and-T This code is the implementation of Speech Emotion Recognition (SER) with acoustic and linguistic features. The network model i
Tensorflow2 Keras-based Semantic Segmentation Models Implementation
Tensorflow2 Keras-based Semantic Segmentation Models Implementation
Find virtual hosts (vhosts) from IP addresses and hostnames
Features Enumerate vhosts from a list of IP addresses and domain names. Virtual Hosts are enumerated using the following process: Supplied domains are
This is a python based command line Network Scanner utility, which input as an argument for the exact IP address or the relative IP Address range you wish to do the Network Scan for and returns all the available IP addresses with their MAC addresses on your current Network.
This is a python based command line Network Scanner utility, which input as an argument for the exact IP address or the relative IP Address range you wish to do the Network Scan for and returns all the available IP addresses with their MAC addresses on your current Network.
OneDriveExplorer - A command line and GUI based application for reconstructing the folder structure of OneDrive from the UserCid.dat file
OneDriveExplorer - A command line and GUI based application for reconstructing the folder structure of OneDrive from the UserCid.dat file
A Radare2 based Python module for Binary Analysis and Reverse Engineering.
Zepu1chr3 A Radare2 based Python module for Binary Analysis and Reverse Engineering. Installation You can simply run this command. pip3 install zepu1c
To create a deep learning model which can explain the content of an image in the form of speech through caption generation with attention mechanism on Flickr8K dataset.
To create a deep learning model which can explain the content of an image in the form of speech through caption generation with attention mechanism on Flickr8K dataset.
CT Based COVID 19 Diagnose by Image Processing and Deep Learning
This project proposed the deep learning and image processing method to undertake the diagnosis on 2D CT image and 3D CT volume.
Batch obfuscator based on the obfuscation method used by the trick bot launcher
Batch obfuscator based on the obfuscation method used by the trick bot launcher
script to calculate total GPA out of 4, based on input gpa.csv
gpa_calculator script to calculate total GPA out of 4 based on input gpa.csv to use, create a total.csv file containing only one integer showing the t
A stack-based systems language that supports structures, functions, expressions, and user-defined operator behaviour
A stack-based systems language that supports structures, functions, expressions, and user-defined operator behaviour. Currently compiles to URCL with plans to add additional formats in the future.
A simple tutoral for error correction task, based on Pytorch
gramcorrector A simple tutoral for error correction task, based on Pytorch Grammatical Error Detection (sentence-level) a binary sequence-based classi
CRF-RNN for Semantic Image Segmentation - PyTorch version
This repository contains the official PyTorch implementation of the "CRF-RNN" semantic image segmentation method, published in the ICCV 2015
Python inverse kinematics for your robot model based on Pinocchio.
Python inverse kinematics for your robot model based on Pinocchio.
An implementation of IMLE-Net: An Interpretable Multi-level Multi-channel Model for ECG Classification
IMLE-Net: An Interpretable Multi-level Multi-channel Model for ECG Classification The repostiory consists of the code, results and data set links for
This machine learning model was developed for House Prices
This machine learning model was developed for House Prices - Advanced Regression Techniques competition in Kaggle by using several machine learning models such as Random Forest, XGBoost and LightGBM.
A simple assembly- and brainfuck-inspired stack-based language
asm-stackfuck A simple assembly- and brainfuck-inspired stack-based language. The language has a few goals: Be stack-based Look like assembly Have a s
Analysis of voices based on the Mel-frequency band
Speaker_partition_module Analysis of voices based on the Mel-frequency band. Goal: Identification of voices speaking (diarization) and calculation of
A Python-based command prompt concept which includes windows command emulation.
PythonCMD A Python-based command prompt concept which includes windows command emulation. Current features: echo: Input your message and it will be cl
A collection of Jupyter notebooks to play with NVIDIA's StyleGAN3 and OpenAI's CLIP for a text-based guided image generation.
StyleGAN3 CLIP-based guidance StyleGAN3 + CLIP StyleGAN3 + inversion + CLIP This repo is a collection of Jupyter notebooks made to easily play with St
Helperpod - A CLI tool to run a Kubernetes utility pod with pre-installed tools that can be used for debugging/testing purposes inside a Kubernetes cluster
Helperpod is a CLI tool to run a Kubernetes utility pod with pre-installed tools that can be used for debugging/testing purposes inside a Kubernetes cluster.
Mock smart contracts for writing Ethereum test suites
Mock smart contracts for writing Ethereum test suites This package contains comm
Wordle-player - An optimal player for Wordle. Based on a rough understanding of information theory
Wordle-player - An optimal player for Wordle. Based on a rough understanding of information theory
A PyTorch-based R-YOLOv4 implementation which combines YOLOv4 model and loss function from R3Det for arbitrary oriented object detection.
R-YOLOv4 This is a PyTorch-based R-YOLOv4 implementation which combines YOLOv4 model and loss function from R3Det for arbitrary oriented object detect
ONNX-GLPDepth - Python scripts for performing monocular depth estimation using the GLPDepth model in ONNX
ONNX-GLPDepth - Python scripts for performing monocular depth estimation using the GLPDepth model in ONNX
OneDriveExplorer - A command line and GUI based application for reconstructing the folder strucure of OneDrive from the UserCid.dat file
OneDriveExplorer - A command line and GUI based application for reconstructing the folder strucure of OneDrive from the UserCid.dat file
Evaluation framework for testing segmentation networks in PyTorch
Evaluation framework for testing segmentation networks in PyTorch. What segmentation network to choose for next Kaggle competition? This benchmark knows the answer!
Javascript image annotation tool based on image segmentation.
JS Segment Annotator Javascript image annotation tool based on image segmentation. Label image regions with mouse. Written in vanilla Javascript, with
Simple library for exploring/scraping the web or testing a website you’re developing
Robox is a simple library with a clean interface for exploring/scraping the web or testing a website you’re developing. Robox can fetch a page, click on links and buttons, and fill out and submit forms.
Evaluate on three different ML model for feature selection using Breast cancer data.
Anomaly-detection-Feature-Selection Evaluate on three different ML model for feature selection using Breast cancer data. ML models: SVM, KNN and MLP.
Breast cancer is been classified into benign tumour and malignant tumour.
Breast cancer is been classified into benign tumour and malignant tumour. Logistic regression is applied in this model.
Breast Cancer Classification Model is applied on a different dataset
Breast Cancer Classification Model is applied on a different dataset
ANN model for prediction a spatio-temporal distribution of supercooled liquid in mixed-phase clouds using Doppler cloud radar spectra.
VOODOO Revealing supercooled liquid beyond lidar attenuation Explore the docs » Report Bug · Request Feature Table of Contents About The Project Built
Cloud-based recommendation system
This project is based on cloud services to create data lake, ETL process, train and deploy learning model to implement a recommendation system.
A GUI based glitch tool that uses FFMPEG to create motion interpolated glitches in your videos.
FF Dissolve Glitch This is a GUI based glitch tool that uses FFmpeg to create awesome and wierd motion interpolated glitches in videos. I call it FF d
A voice based calculator by using termux api in Android
termux_voice_calculator This is. A voice based calculator by using termux api in Android Instagram account 👉 👈 Requirements and installation Downloa
A file-based quote bot written in Python
Let's Write a Python Quote Bot! This repository will get you started with building a quote bot in Python. It's meant to be used along with the Learnin
Autopsy Module to analyze Registry Hives based on bookmarks provided by EricZimmerman for his tool RegistryExplorer
Autopsy Module to analyze Registry Hives based on bookmarks provided by EricZimmerman for his tool RegistryExplorer
Plex-recommender - Get movie recommendations based on your current PleX library
plex-recommender Description: Get movie/tv recommendations based on your current
Bert4rec for news Recommendation
News-Recommendation-system-using-Bert4Rec-model Bert4rec for news Recommendation
Chalice - A tool to facilitate Python based lambda deployment
Chalice is a tool to facilitate Python based lambda deployment. This repo contains the output of my basic exploration of this tool.
Builds a LoRa radio frequency fingerprint identification (RFFI) system based on deep learning techiniques
This project builds a LoRa radio frequency fingerprint identification (RFFI) system based on deep learning techiniques.
Sub-tomogram-Detection - Deep learning based model for Cyro ET Sub-tomogram-Detection
Deep learning based model for Cyro ET Sub-tomogram-Detection High degree of stru
This is a model made out of Neural Network specifically a Convolutional Neural Network model
This is a model made out of Neural Network specifically a Convolutional Neural Network model. This was done with a pre-built dataset from the tensorflow and keras packages. There are other alternative libraries that can be used for this purpose, one of which is the PyTorch library.
This project is based on discord.py and is meant to be a 'Quick Start Bot' to cut down on the time it takes to write complex discord bots.
This project is based on discord.py and is meant to be a 'Quick Start Bot' to cut down on the time it takes to write complex discord bots.
Implementation of the SUMO (Slim U-Net trained on MODA) model
SUMO - Slim U-Net trained on MODA Implementation of the SUMO (Slim U-Net trained on MODA) model as described in: TODO: add reference to paper once ava
This project proposes a camera vision based cursor control system, using hand moment captured from a webcam through a landmarks of hand by using Mideapipe module
This project proposes a camera vision based cursor control system, using hand moment captured from a webcam through a landmarks of hand by using Mideapipe module