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2018-phm-data-challenge

2018 phm data challenge, ion mill machine RUL & fault diagnosis

acado

ACADO Toolkit is a software environment and algorithm collection for automatic control and dynamic optimization. It provides a general framework for using a great variety of algorithms for direct optimal control, including model predictive control, state and parameter estimation and robust optimization.

acceleratecfd_ce

Community Edition of AccelerateCFD platform for creating reduced order models from high fidelity CFD

acorn

active_subspaces

Python Active-subspaces Utility Library

adbench

Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.

alibi

Algorithms for explaining machine learning models

allopy

Library for some really robust Portfolio Optimization in Python

amc-ssda

Adaptive Multi Column Sparse Stacked Denoising Autoencoder

ann-pemfc-voltage-prediction

Artificial Neural network that predicts the voltage of a PEMFC (Proton Exchange Membrane Fuel Cell) battery.

armi

An open-source nuclear reactor analysis automation framework that helps design teams increase efficiency and quality

arviz

Exploratory analysis of Bayesian models with Python

asent

Asent is a python library for performing efficient and transparent sentiment analysis using spaCy.

autooed

AutoOED: Automated Optimal Experimental Design Platform

awesome-causal-inference

A (concise) curated list of awesome Causal Inference resources.

awesome-causality-algorithms

An index of algorithms for learning causality with data

awesome-explainable-ai

A collection of research materials on explainable AI/ML

awesome-federated-learning

resources about federated learning and privacy in machine learning

awesome-gnn4ts

📈 Awesome resources related to GNNs for Time Series Analysis (GNN4TS) 🔥 https://arxiv.org/abs/2307.03759

awesome-knowledge-graph

A curated list of Knowledge Graph related learning materials, databases, tools and other resources

awesome-machine-learning-interpretability

A curated list of awesome responsible machine learning resources.

awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

awesome-nuclear

A curated list of open source projects used in nuclear science and engineering

awesome-prompt-engineering

This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc

awesome-rl

Reinforcement learning resources curated

awesome-totally-open-chatgpt

A list of totally open alternatives to ChatGPT

awesome_time_series_in_python

This curated list contains python packages for time series analysis

ax

Adaptive Experimentation Platform

baycal

Bayesian Model Calibration (BayCal) toolkit is a software plugin for Risk Analysis Virtual Environment (RAVEN) framework, arming at inversely quantifying the uncertainties associated with simulation model parameters based on available experiment data.

bayesian-modelling-in-python

A python tutorial on bayesian modeling techniques (PyMC3)