sun-x-h's starred repositories
gpt_academic
为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。
open-interpreter
A natural language interface for computers
DumpsterFire
"Security Incidents In A Box!" A modular, menu-driven, cross-platform tool for building customized, time-delayed, distributed security events. Easily create custom event chains for Blue- & Red Team drills and sensor / alert mapping. Red Teams can create decoy incidents, distractions, and lures to support and scale their operations. Build event sequences ("narratives") to simulate realistic scenarios and generate corresponding network and filesystem artifacts.
Deep-Learning-Based-State-Estimation
Incorporating Transformer and LSTM to Kalman Filter with EM algorithm
progpy
The NASA Prognostic Python Packages is a Python framework focused on defining and building models and algorit for prognostics (computation of remaining useful life) of engineering systems, and provides a set of models and algorithms for select components developed within this framework, suitable for use in prognostic applications.
fulton_statsmodels_2017
State Space Estimation of Time Series Models in Python: Statsmodels
EstimationPy
Python package for state and parameter estimation
wellArchitectureDesign
Leveraging matplotlib to visualize well drilling and construction
caterpillar_mset
Anomaly detection via Multivariate State Estimation Technique.
SSMLearnPy
Data-driven reduced order modeling for nonlinear dynamical systems
EPyStateEstimator
Iterative State Estimation in Non-linear Dynamical Systems Using Approximate Expectation Propagation
Oil-Gas-Drilling-Activity-Prediction
Drilling Activity Prediction: Oil and Gas operations are dramatically affected by supply, demand and several other factors that compromise the operational planning of resources. To overcome this challenge, predictive analytics could be applied to forecast rotary rig count inside United States using time-series data.
applications
Applications of Simulation and Automation
intellDrilling
智慧钻井
PINN-for-model-param-estimation-and-response-prediction-of-SDoF-system
Physics-informed neural network for model parameter estimation and response prediction of SDoF system.
Petroleum_Engineering
Codes related to petroleum and drilling engineering projects.
Drawworks-DrillSim
Drilling rig simulator example that models the Drawworks system with a Variable-Frequency Drive (VFD) with torque speed limitations.
ROP_prediction
This repo is the results of drilling rate of penetration prediction on the MSEEL drilling dataset using various machine and deep learning models
Deep-Learning-Based-State-Estimation
Deep learning based state estimation: incorporating Transformer and LSTM to Kalman Filter with EM algorithm.