jxbean

jxbean's Stars

• labmlai/annotated_deep_learning_paper_implementations

  🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

  Language:Python53.8k5.6k

• wind-python/windpowerlib

  The windpowerlib is a library to model the output of wind turbines and farms.

  Language:Python320105

• le5le-com/meta2d.js

  The meta2d.js is real-time data exchange and interactive web 2D engine. Developers are able to build Web SCADA, IoT, Digital twins and so on. Meta2d.js是一个实时数据响应和交互的2d引擎，可用于Web组态，物联网，数字孪生等场景。

  Language:TypeScript733234

• ruilisi/fortune-sheet

  A drop-in javascript spreadsheet library that provides rich features like Excel and Google Sheets

  Language:TypeScript2.4k219

• yzhao062/pyod

  A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

  Language:Python8.4k1.4k

• MountPOTATO/Software-Engineering-Notes

  同济大学软件学院软件工程课堂笔记

  15317

• HaraldGSvendsen/timeseries-analysis

  Tool to analyse wind power time series

  Language:Jupyter Notebook1

• LazaUK/IndustrySolutions-WindFarm

  Industry Solution, to capture telemetry of remote wind farm turbines, analyse patterns and visualise KPI (Key Performance Indicator) values in 3D scene of the Azure Digital Twins.

  Language:C++133

• NREL/OpenOA

  This library provides a framework for assessing wind plant performance using operational assessment (OA) methodologies that consume time series data from wind plants. The goal of the project is to provide an open source implementation of common data structures, analysis methods, and utility functions relevant to wind plant OA.

  Language:Jupyter Notebook18262

• ResidentMario/missingno

  Missing data visualization module for Python.

  Language:Python3.9k516

• iskandr/fancyimpute

  Multivariate imputation and matrix completion algorithms implemented in Python

  Language:Python1.2k176

• arundo/adtk

  A Python toolkit for rule-based/unsupervised anomaly detection in time series

  Language:Python1.1k144

• georgebv/pyextremes

  Extreme Value Analysis (EVA) in Python

  Language:Python23747

• oneenergy-software/MCP

  Conducts Measure-Correlate-Predict for WRA

  Language:C#1

• UN-GCPDS/qt-material

  Material inspired stylesheet for PySide2, PySide6, PyQt5 and PyQt6

  Language:Python2.3k242

• klauer/qtpynodeeditor

  Python Qt NodeEditor (qtpy, PyQt5, PySide)

  Language:Python18653

• zhiyiYo/PyQt-Fluent-Widgets

  A fluent design widgets library based on C++ Qt/PyQt/PySide. Make Qt Great Again.

  Language:Python5.4k519

• rougier/numpy-100

  100 numpy exercises (with solutions)

  Language:Python12k5.7k

• IEA-Task-43/digital_wra_data_standard

  IEA Task 43: pre-construction energy estimate data standard repository

  Language:Jupyter Notebook5716

• zkqiang/hangzhou-house-guide

  杭州购房指南，根据个人购房经历，总结而成的一篇买房攻略，涉及新房摇号和二手房选购，包含大量杭州城市规划资料。

  Language:JavaScript960110

• ddbourgin/numpy-ml

  Machine learning, in numpy

  Language:Python15.3k3.7k

• leonarduschen/pyfinmod

  Financial modeling with Python and Pandas

  Language:Python5625

• RadonPy/RadonPy

  RadonPy is a Python library to automate physical property calculations for polymer informatics.

  Language:Python14220

• vinta/awesome-python

  An opinionated list of awesome Python frameworks, libraries, software and resources.

  Language:Python219k24.8k

• python-attrs/cattrs

  Composable custom class converters for attrs, dataclasses and friends.

  Language:Python799111

• python-attrs/attrs

  Python Classes Without Boilerplate

  Language:Python5.2k365

• adamerose/PandasGUI

  A GUI for Pandas DataFrames

  Language:Python3.2k230

• datawhalechina/joyful-pandas

  pandas中文教程

  Language:Jupyter Notebook4.6k1.9k

• FSEC-Photovoltaics/pvrpm-lcoe

  PV Simulation using SAM and Python

  Language:Python81

• kk-1/lcoe

  HTML based LCOE and NPV analyzer

  Language:HTML1