jeannotalpin's Stars
3b1b/manim
Animation engine for explanatory math videos
mlabonne/llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
pyg-team/pytorch_geometric
Graph Neural Network Library for PyTorch
lukas-blecher/LaTeX-OCR
pix2tex: Using a ViT to convert images of equations into LaTeX code.
barbagroup/CFDPython
A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/
mckinsey/vizro
Vizro is a toolkit for creating modular data visualization applications.
mckinsey/causalnex
A Python library that helps data scientists to infer causation rather than observing correlation.
uncertainty-toolbox/uncertainty-toolbox
Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
Zymrael/awesome-neural-ode
A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.
SALib/SALib
Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.
ericmjl/bayesian-stats-modelling-tutorial
How to do Bayesian statistical modelling using numpy and PyMC3
ENSTA-U2IS-AI/awesome-uncertainty-deeplearning
This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning models.
Kitware/trame
Trame lets you weave various components and technologies into a Web Application solely written in Python.
SciML/Surrogates.jl
Surrogate modeling and optimization for scientific machine learning (SciML)
yjhp1016/taichi_LBM3D
A 3D sparse LBM solver implemented using Taichi
lento234/awesome-fluid-dynamics
A curated list of repositories related to fluid dynamics.
cvanaret/Uno
A next-gen solver for optimization with nonconvex objective and constraints. Unifies barrier and SQP methods in a modern and generic way, and unlocks a variety of novel methods. Competitive against filterSQP, IPOPT, SNOPT, MINOS and CONOPT.
secondmind-labs/trieste
A Bayesian optimization toolbox built on TensorFlow
joneswack/conformal-predictions-from-scratch
Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.
ikespand/awesome-machine-learning-fluid-mechanics
Curated list for ML in FM
MathEXLab/PySPOD
A Python package for spectral proper orthogonal decomposition (SPOD).
Saswatm123/MMD-VAE
Pytorch implementation of Maximum Mean Discrepancy Variational Autoencoder, a member of the InfoVAE family that maximizes Mutual Information between the Isotropic Gaussian Prior (as the latent space) and the Data Distribution.
vincentblot28/conformalized_gp
jkneifl/VENI-VINDy-VICI
An interpretable data-driven framework for building generative reduced order models with embedded uncertainty quantification
dylanwal/plotly_gif
Generate .gif from your Plotly figures
ERMETE-Lab/ROSE-pyforce
Python Framework for data-driven model Order Reduction of multi-physiCs problEms
Oisin-M/GFN
Graph Feedforward Networks: a resolution-invariant generalisation of feedforward networks for graphical data, applied to model order reduction
pascme05/PyDTS
Python Deep Timeseries Simulation a toolkit for capturing unknow and possibly non-linear relations between input and output values
Rose-STL-Lab/Interactive-Neural-Process
ShuaiGuo16/Active_Learning
A walk through of applying an active learning strategy to efficiently train a Gaussian Process model.