m-julian

al-folio

A beautiful, simple, clean, and responsive Jekyll theme for academics

PyMol-QTAIM

PyMol-QTAIM visualiser plugin

openfold

Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2

keops

KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows

HPCInfo

Information about many aspects of high-performance computing. Wiki content moved to ~/docs.

GPy

Gaussian processes framework in python

ichor

Computational Chemistry Data Management Library for Machine Learning Force Field Development

interactive-gp-visualization

Interactive visualization of Gaussian processes

showyourwork

A workflow for reproducible and open scientific articles

pysr_paper

A paper describing the implementation of PySR and SymbolicRegression.jl

geomeTRIC

Geometry optimization code that includes the TRIC coordinate system

pyGSM

Thermal and photochemical reaction path optimization and discovery

emoncms

Web-app for processing, logging and visualising energy, temperature and other environmental data

rpi-power-monitor

Power Monitor (for Raspberry Pi)

IoTaWatt

IoTaWatt Open WiFi Electric Energy Monitor

AMO-Tools-Suite

AMO-Tools-Suite is an energy efficiency calculation library in C++ with optional Nan Node add-on bindings for the Department of Energy Advanced Manufacturing Office (DOE AMO) Desktop, also known as MEASUR.

statsmodels

Statsmodels: statistical modeling and econometrics in Python

pygwalker

PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis

nougat

Implementation of Nougat Neural Optical Understanding for Academic Documents

nilm-eval

NILM-EVAL: An evaluation framework for non-intrusive load monitoring algorithms

energy-disaggregation-DL

nilmtk

Non-Intrusive Load Monitoring Toolkit (nilmtk)

Energy-Disaggregation

alpaca-py

The Official Python SDK for Alpaca API

AnimationsWithManim

Animation course with Manim

REG

Relative Energy Gradient method (Paul Popelier group: The University of Manchester)

PyTorch-LBFGS

A PyTorch implementation of L-BFGS.

bayesian-optimization-in-action

Source code for Bayesian Optimization in Action, published by Manning

openbabel-wheel

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.