jxbean's Stars
vinta/awesome-python
An opinionated list of awesome Python frameworks, libraries, software and resources.
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, ... 🧠
ddbourgin/numpy-ml
Machine learning, in numpy
rougier/numpy-100
100 numpy exercises (with solutions)
yzhao062/pyod
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
zhiyiYo/PyQt-Fluent-Widgets
A fluent design widgets library based on C++ Qt/PyQt/PySide. Make Qt Great Again.
python-attrs/attrs
Python Classes Without Boilerplate
datawhalechina/joyful-pandas
pandas中文教程
ResidentMario/missingno
Missing data visualization module for Python.
adamerose/PandasGUI
A GUI for Pandas DataFrames
ruilisi/fortune-sheet
A drop-in javascript spreadsheet library that provides rich features like Excel and Google Sheets
UN-GCPDS/qt-material
Material inspired stylesheet for PySide2, PySide6, PyQt5 and PyQt6
iskandr/fancyimpute
Multivariate imputation and matrix completion algorithms implemented in Python
arundo/adtk
A Python toolkit for rule-based/unsupervised anomaly detection in time series
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。
python-attrs/cattrs
Composable custom class converters for attrs, dataclasses and friends.
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。
wind-python/windpowerlib
The windpowerlib is a library to model the output of wind turbines and farms.
georgebv/pyextremes
Extreme Value Analysis (EVA) in Python
klauer/qtpynodeeditor
Python Qt NodeEditor (qtpy, PyQt5, PySide)
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.
MountPOTATO/Software-Engineering-Notes
同济大学软件学院软件工程课堂笔记
RadonPy/RadonPy
RadonPy is a Python library to automate physical property calculations for polymer informatics.
IEA-Task-43/digital_wra_data_standard
IEA Task 43: pre-construction energy estimate data standard repository
leonarduschen/pyfinmod
Financial modeling with Python and Pandas
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.
FSEC-Photovoltaics/pvrpm-lcoe
PV Simulation using SAM and Python
HaraldGSvendsen/timeseries-analysis
Tool to analyse wind power time series
kk-1/lcoe
HTML based LCOE and NPV analyzer
oneenergy-software/MCP
Conducts Measure-Correlate-Predict for WRA