fewagner
PostDoc @QudevETH, former HEPHY&TUW, superconducting quantum bits and sensors
HEPHY ViennaVienna
fewagner's Stars
shapely/shapely
Manipulation and analysis of geometric objects
nschloe/pygmsh
:spider_web: Gmsh for Python
kinnala/adaptmesh
Mesh generation by the adaptive process
kinnala/scikit-fem
Simple finite element assemblers
nschloe/meshio
:spider_web: input/output for many mesh formats
QudevETH/PycQED_py3
Python3 version of PycQED using QCodes as backend
scqubits/scqubits
Superconducting Qubits in Python
langchain-ai/langchain
🦜🔗 Build context-aware reasoning applications
loganbvh/py-tdgl
2D time-dependent Ginzburg-Landau in Python
bayesian-optimization/BayesianOptimization
A Python implementation of global optimization with gaussian processes.
mattja/sdeint
Numerical integration of Ito or Stratonovich SDEs
OrangeX4/latex2sympy
Parse LaTeX math expressions
mobarski/ask-my-pdf
Question answering system for PDF files
apptainer/apptainer
Apptainer: Application containers for Linux
Future-House/paper-qa
High accuracy RAG for answering questions from scientific documents with citations
yc930401/Actor-Critic-pytorch
Actor Critic model to play Cartpole game
szagoruyko/pytorchviz
A small package to create visualizations of PyTorch execution graphs
fewagner/cait
Cryogenic Artificial Intelligence Tools - A Python package for the raw data analysis of cryogenic particle detectors with machine learning.
tfharrelson/MPDSF
root-project/root
The official repository for ROOT: analyzing, storing and visualizing big data, scientifically
eamonnmag/CERN-CSC-2023
CERN CSC 2023 Exercises
kaamka/CSC22ML
Machine Learning (ANN, Autoencoders, GANs) - exercises in the form of Notebooks.
sbi-dev/sbi
Simulation-based inference toolkit
undark-lab/swyft
A system for scientific simulation-based inference at scale.
scikit-optimize/scikit-optimize
Sequential model-based optimization with a `scipy.optimize` interface
rlabbe/filterpy
Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.
skorch-dev/skorch
A scikit-learn compatible neural network library that wraps PyTorch
timeseriesAI/tsai
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
ziatdinovmax/pyroVED
Invariant representation learning from imaging and spectral data
maziarraissi/PINNs
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations