22 Repositories
Python characterizing-pinns-failure-modes Libraries
Detecting silent model failure. NannyML estimates performance with an algorithm called Confidence-based Performance estimation (CBPE), developed by core contributors. It is the only open-source algorithm capable of fully capturing the impact of data drift on performance.
Website • Docs • Community Slack 💡 What is NannyML? NannyML is an open-source python library that allows you to estimate post-deployment model perfor
Built various Machine Learning algorithms (Logistic Regression, Random Forest, KNN, Gradient Boosting and XGBoost. etc)
Built various Machine Learning algorithms (Logistic Regression, Random Forest, KNN, Gradient Boosting and XGBoost. etc). Structured a custom ensemble model and a neural network. Found a outperformed model for heart failure prediction accuracy of 88 percent.
Spectral decomposition for characterizing long-range interaction profiles in Hi-C maps
Inspectral Spectral decomposition for characterizing long-range interaction prof
Title: Heart-Failure-Classification
This Notebook is based off an open source dataset available on where I have created models to classify patients who can potentially witness heart failure on the basis of various parameters. The best model had an accuracy of 94% and a recall of 91%
A complete python calculator with 2 modes Float and Int numbers.
Python Calculator This program is made for learning purpose. Getting started This Program runs using python, install it via terminal or from thier ofi
OpenSea-Python-Bot - OpenSea Python Bot can be used in 2 modes
OpenSea-Python-Bot OpenSea Python Bot can be used in 2 modes. When --nft paramet
Active Transport Analytics Model (ATAM) is a new strategic transport modelling and data visualization framework for Active Transport as well as emerging micro-mobility modes
{ATAM} Active Transport Analytics Model Active Transport Analytics Model (“ATAM”) is a new strategic transport modelling and data visualization framew
WTTE-RNN a framework for churn and time to event prediction
WTTE-RNN Weibull Time To Event Recurrent Neural Network A less hacky machine-learning framework for churn- and time to event prediction. Forecasting p
An interactive DNN Model deployed on web that predicts the chance of heart failure for a patient with an accuracy of 98%
Heart Failure Predictor About A Web UI deployed Dense Neural Network Model Made using Tensorflow that predicts whether the patient is healthy or has c
Characterizing possible failure modes in physics-informed neural networks.
Characterizing possible failure modes in physics-informed neural networks This repository contains the PyTorch source code for the experiments in the
Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed computing
Notice: Support for Python 3.6 will be dropped in v.0.2.1, please plan accordingly! Efficient and Scalable Physics-Informed Deep Learning Collocation-
A set of scripts for a two-step procedure to measure the value of access to destinations across several modes of travel within a geographic area.
A set of scripts for a two-step procedure to measure the value of access to destinations across several modes of travel within a geographic area.
Automated Machine Learning Pipeline for tabular data. Designed for predictive maintenance applications, failure identification, failure prediction, condition monitoring, etc.
Automated Machine Learning Pipeline for tabular data. Designed for predictive maintenance applications, failure identification, failure prediction, condition monitoring, etc.
Minesweeper clone with 3 modes of difficulty, UI scaling and custom games feature.
Insect Sweeper Minesweeper clone with 3 modes of difficulty, UI scaling and custom games feature. Mines are replaced with random insects that a player
A lightweight wrapper for PyTorch that provides a simple declarative API for context switching between devices, distributed modes, mixed-precision, and PyTorch extensions.
A lightweight wrapper for PyTorch that provides a simple declarative API for context switching between devices, distributed modes, mixed-precision, and PyTorch extensions.
A Powerful Tool For Making Combo List(All possible modes)
ComboMaker A Powerful Tool For Making Combo List Introduction Check out all possible Combo list build modes with this tool =) How to Install Open the
LogDeep is an open source deeplearning-based log analysis toolkit for automated anomaly detection.
LogDeep is an open source deeplearning-based log analysis toolkit for automated anomaly detection.
Vericopy - This Python script provides various usage modes for secure local file copying and hashing.
Vericopy This Python script provides various usage modes for secure local file copying and hashing. Hash data is captured and logged for paths before
A listener for RF = 4.0 that prints a Stack Trace to console to faster find the code section where the failure appears.
robotframework-stacktrace A listener for RF = 4.0 that prints a Stack Trace to console to faster find the code section where the failure appears. Ins
Retrying library for Python
Tenacity Tenacity is an Apache 2.0 licensed general-purpose retrying library, written in Python, to simplify the task of adding retry behavior to just
Retrying library for Python
Tenacity Tenacity is an Apache 2.0 licensed general-purpose retrying library, written in Python, to simplify the task of adding retry behavior to just
pytest plugin for distributed testing and loop-on-failures testing modes.
xdist: pytest distributed testing plugin The pytest-xdist plugin extends pytest with some unique test execution modes: test run parallelization: if yo