Python Model-based-systems-engineering Resources

shap-hypetune A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models. Overview Hyperparameters t

The purpose of this project is create a classification model capable of accurately predicting the price of secondhand cars. The data used for model building is open source and has been added to this repository. Most packages used are usually pre-installed in most developed environments and tools like collab, jupyter, etc. This can be useful for people looking to enhance the way the code their predicitve models and efficient ways to deal with tabular data!

Style transfer between images was performed using the VGG19 model. The necessary codes, libraries and all other information of this project are available below

Rip Raw Rip Raw is a small tool to analyse the memory of compromised Linux systems. It is similar in purpose to Bulk Extractor, but particularly focus

3commas_compounder Script to autocompound 3commas BO:SO based on user provided risk factor Setup Step 1 git clone this repo into your working director

PlanetWatchStats Python based project to pull useful account statistics from the Algorand block chain. Setup pip install -r requirements.txt Run pytho

Description This library provides an abstraction to perform Model Versioning using Weight & Biases. Features Version a new trained model Promote a mod

OptiPLANT OptiPLANT is a cloud-based based system that empowers professional and non-professional data scientists to build high-quality predictive mod

Tablicate Tablicate - Python library for easy table creation and output to terminal Features Column-wise justification alignment (left, right, center)

A cut down version of QUANT containing just the model in Python (QUANTPy)

Finished rendering the frames of that animation, and now the colors look washed out and ugly? This terminal program will solve exactly that.

Date-Extraction-from-Contracts This is a NLP based project to extract effective date of the contract from their text files. Problem statement This is

solsim is the Solana complex systems simulator. It simulates behavior of dynamical systems—DeFi protocols, DAO governance, cryptocurrencies, and more—built on the Solana blockchain

Paddle-Skeleton-Action-Recognition DecoupleGCN-DropGraph, ASGCN, AGCN, STGCN. Yo

SAS: Self-Augmentation Strategy for Language Model Pre-training This repository

GreaseLM: Graph REASoning Enhanced Language Models This repo provides the source code & data of our paper "GreaseLM: Graph REASoning Enhanced Language

FSRA This repository contains the dataset link and the code for our paper A Transformer-Based Feature Segmentation and Region Alignment Method For UAV

EdiBERT, a generative model for image editing EdiBERT is a generative model based on a bi-directional transformer, suited for image manipulation. The

Unsupervised Feature Loss (UFLoss) for High Fidelity Deep learning (DL)-based reconstruction Official github repository for the paper High Fidelity De

idn-solver Paper | Project Page This repository contains the code release of our ICCV 2021 paper: A Confidence-based Iterative Solver of Depths and Su

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

The current workflow simulates brain functional connectivity (FC) from structural connectivity (SC) with a neural mass model. Gradient descent is applied to optimize the parameters in the neural mass model.

RFM The code for the paper: "Feedback is important: response-aware feedback mechanism for background based conversation." Requirements python 3.7 pyto

RoNER RoNER is a Named Entity Recognition model based on a pre-trained BERT transformer model trained on RONECv2. It is meant to be an easy to use, hi

Eye Blink Counter OpenCV and Mediapipe No Blink Blink

Estimating-Loan-Default-Probability IBA ML2 Mid-project / Kaggle Competition This porject is intented to build the most accurate model for predicting

NFT Generator Автоматическая генерация крипто-артов на основе слоев изображения. Установка pip3 install -r requirements.txt rm -rf result/* Как это ра

Wordle A Python-based Wordle solver and CLI player This was created using Python 3.9.7. SPOILER ALERT: the data directory contains spoilers for upcomi

🤞 Random Luck Deep learning is acturally the alchemy. This repo provides a package to automatically select a random seed based on ancient Chinese Xua

A task Provided by A respective Alternal Ai and Ml based Company to complete it .

Toward Model Interpretability in Medical NLP LING380: Topics in Computational Linguistics Final Project James Cross ([email protected]) and Daniel Kim

COVID-ViT COVID-VIT: Classification of Covid-19 from CT chest images based on vision transformer models This code is to response to te MIA-COV19 compe

TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification [NeurIPS 2021] Abstract Multiple instance learn

Retinal vessel segmentation based on GT-UNet Introduction This project is a retinal blood vessel segmentation code based on UNet-like Group Transforme

A boosting-based Multiple Instance Learning (MIL) package that includes MIL-Boost and MCIL-Boost

FCN_MSCOCO_Food_Segmentation Simple keras FCN Encoder/Decoder model for MS-COCO (food subset) segmentation Input data: [http://mscoco.org/dataset/#ove

NNProject - DeepMask This is a Keras-based Python implementation of DeepMask- a complex deep neural network for learning object segmentation masks. Th

ademxapp Visual applications by the University of Adelaide In designing our Model A, we did not over-optimize its structure for efficiency unless it w

Static Features Classifier This is a static features classifier for Point-Could

GodspeakAPI A simple API for generating random words ("godspeaks"), inspired by the works of Terrence Andrew Davis (Rest In Peace, King). Installation

Equipped customers with insights about their EVs Hourly energy consumption and helped predict future charging behavior using LSTM model. Designed sample dashboard with insights and recommendation for customers.

Generative design of breakwaters usign deep convolutional neural network as a surrogate model This repository contains the code for the paper "Generat

pyclimb A library to easily convert climbing route grades between different grading systems. In rock climbing, mountaineering, and other climbing disc

Disaster Classificiation using CNNs bunnysaini/Disaster-Classificiation Goal To prepare an image processing model to classify the type of disaster bas

Morth WARNING! THIS LANGUAGE IS A WORKING PROGRESS. THIS IS JUST A HOBBY PROJECT

Blue Moon Vampire Bot An Telegram Antispam Based Bot A Pyogram Bot to make banne

Choose dependency injection Friendly with MyPy Supports lazy injections Supports

Pynomial - a lightweight python library for implementing the many confidence intervals for the risk parameter of a binomial model

FastAPI Server-sided Session FastAPI Server Session is a dependency-based extension for FastAPI that adds support for server-sided session management.

A feature store is a data storage system for data science and machine-learning. It can store raw data and also transformed features, which can be fed straight into an ML model or training script.

Cerebro 2 A web-based visualization and debugging platform for NuPIC. Usage Set up cerebro2.server to export your model state. Then, run: cd static py

pixel-planet Semi-hash-based Image Generator Utilizable for NFTs Generation Process Input is salted and hashed Colors (background, planet, stars) are

Recommendation-Systems-for-IBM-Watson-Studio-platform Project Overview In this project, I analyze the interactions that users have with articles on th

HistoSeg : Quick attention with multi-loss function for multi-structure segmentation in digital histology images Histological Image Segmentation This

Food Truck Finder Project Description This repository contains a Python script for finding a food-truck based on latitude and longitude coordinates th

Feature engineering and machine learning: together at last! Lambdo is a workflow engine which significantly simplifies data analysis by unifying featu

sequitur sequitur is a library that lets you create and train an autoencoder for sequential data in just two lines of code. It implements three differ

Home Credit Default Risk: Open Solution This is an open solution to the Home Credit Default Risk challenge 🏡 . More competitions 🎇 Check collection

documan_api A simple document management REST based API for collaboratively interacting with documents.

Omnivore: A Single Model for Many Visual Modalities [paper][website] OMNIVORE is a single vision model for many different visual modalities. It learns

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

pureSxS A tool to export Component Based Servicing packages from a full Windows installation. Usage pureSxS.py source_mum destination pureSxS wor

This is a project for analysis and estimation of House Prices in King County USA The .csv file contains the data of the house and the .ipynb file con

NBA MVP Predictor A machine learning model using RandomForest Regression that predicts NBA MVP's using player data. Explore the docs » View Demo · Rep

ocrd_detectron2 OCR-D wrapper for detectron2 based segmentation models Introduction Installation Usage OCR-D processor interface ocrd-detectron2-segm

Django Pickled Model Django pickled model provides you a model with dynamic data types. a field can store any value in any type. You can store Integer

Starter code: Kaggle Toxic Comment Classification Challenge More competitions 🎇 Check collection of public projects 🎁 , where you can find multiple

Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents [Project Page] [Paper] [Video] Wenlong Huang1, Pieter Abbee

django-fbv Utilities to make Django function-based views cleaner, more efficient, and better tasting. 💥 📖 Complete documentation: https://django-fbv

Extract gene length based on featureCount calculation gene nonredundant exon length method.

Recommender-Systems Two types of Recommender System : Content-based Recommender System and Colaborating filtering based recommender system So the data

AI Dynamic Text Reader: This is a simple dynamic text reader based on Artificial

Pre-trained models based on TensorLayerX. TensorLayerX is a multi-backend AI fra

A collection of automation aids to connect various database systems into Lookout for Metrics

Image-Captioning-on-google-cloud-platform-based-on-iot - Image Captioning on google cloud platform based on iot

event-driven-model-serving Unified API of Apache Kafka and Google PubSub 1. Proj

Deep-Learning-Project This Deep Learning Model Predicts that from which disease you are suffering. This Project Covers the Topics of Deep Learning Int

Diabetes Business Problem : It is desired to develop a machine learning model that can predict whether people have diabetes when their characteristics

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

nextPARS, a novel Illumina-based implementation of in-vitro parallel probing of RNA structures. Here you will find the scripts necessary to produce th

Gender discrimination based on handwriting See http://fastml.com/gender-discrimination/ for description. prep_data.py - a first step chunk_by_authors.

Blackstone Blackstone is a spaCy model and library for processing long-form, unstructured legal text. Blackstone is an experimental research project f

GNES is Generic Neural Elastic Search, a cloud-native semantic search system based on deep neural network.

Grover is a model for Neural Fake News -- both generation and detection. However, it probably can also be used for other generation tasks.

PyTracking A general python framework for visual object tracking and video object segmentation, based on PyTorch. 📣 Two tracking/VOS papers accepted

tplot is a Python package for creating text-based graphs. Useful for visualizing data to the terminal or log files.

Prompt Tuning This is the code to reproduce the experiments from the EMNLP 2021 paper "The Power of Scale for Parameter-Efficient Prompt Tuning" (Lest

NCSR: Noise Conditional Flow Model for Learning the Super-Resolution Space Official NCSR training PyTorch Code for the CVPR2021 workshop paper "Noise

Biomedical Entity Linking This repo provides the code for the paper BERT might be Overkill: A Tiny but Effective Biomedical Entity Linker based on Res

Official PyTorch implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 Spotlight Paper) Zhisheng

Consensus Learning from Heterogeneous Objectives for One-Class Collaborative Filtering This repository provides the source code of "Consensus Learning

To model the probability of a soccer coach leave his/her team during Campeonato Brasileiro for 10 chosen teams and considering years 2018, 2019 and 2020.

Separation of Mainlobes and Sidelobes in the Ultrasound Image Based on the Spatial Covariance (MIST) and Aperture-Domain Spectrum of Received Signals

ChaozzDBPy About ChaozzDBPy is a python implementation based on the original Cha

PL-LOW A high-performance deep learning model lightweight pipeline that gradually lightens deep neural networks in order to utilize high-performance d

A novel dual model approach for categorization of unbalanced skin lesion image classes (Presented technical paper 📃)

PyTorch Implementation of "Progressive Distillation for Fast Sampling of Diffusion Models(v-diffusion)" Unofficial PyTorch Implementation of Progressi

Finetune the base 64 px GLIDE-text2im model from OpenAI on your own image-text dataset

goneDev-browser "basic browser based on PyQt5" This application is primarily built on macOS with more adaptibility for MacOS than Windows. v1.0 will s

Common machine learning models' hyperparameter tuning This repo is for a collection of hyper-parameter tuning for "common" machine learning models, in