floriangisperg

floriangisperg's Stars

• MSDLLCpapers/obsidian

  Algorithmic process optimization and AI experiment design

  Language:Python173

• yzshi5/OpFlow

  codes for "Universal Functional Regression with Neural Operator Flows"

  Language:Jupyter Notebook51

• NX-AI/xlstm

  Official repository of the xLSTM.

  Language:Python1.2k88

• suneelbvs/AC-BO-HACKATHON-2024

  Comparative Analysis of Acquisition Functions in Bayesian Optimization for Drug Discovery

  Language:Jupyter Notebook12

• SergeiVKalinin/ACerS_AE_2024

  Materials for ACerS Automated Experiment Course

  Language:Jupyter Notebook205

• ziatdinovmax/gpax

  Gaussian Processes for Experimental Sciences

  Language:Python20226

• lululxvi/deepxde

  A library for scientific machine learning and physics-informed learning

  Language:Python2.6k734

• LGUG2Z/komorebi

  A tiling window manager for Windows 🍉

  Language:Rust8.8k174

• SALib/SALib

  Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.

  Language:Python868235

• janweinreich/best_batchers

  Bayesian Optimization Hackathon for Chemistry and Materials, Project 15: Adaptive Batch Sizes for Bayesian Optimization of Reaction Yield

  Language:Python52

• ZacharyCosenza/GradStuff_Cosenza

  Code and other stuff from my PhD in Bayesian Optimization.

  Language:Python6

• zenml-io/zenml-gitflow

  A repository that showcases how you can use ZenML with Git

  Language:Python624

• doyle-lab-ucla/edboplus

  EDBO+. Bayesian reaction optimization as a tool for chemical synthesis.

  Language:Python5518

• emdgroup/baybe

  Bayesian Optimization and Design of Experiments

  Language:Python24639

• pnnl/neuromancer

  Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.

  Language:Python870114

• skku-pdse/DDM_Evaluation

  Language:Jupyter Notebook4

• CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

  aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

  Language:Jupyter Notebook26.7k7.9k

• rlabbe/Kalman-and-Bayesian-Filters-in-Python

  Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

  Language:Jupyter Notebook16.4k4.2k

• Alex-WR/A-transfer-learning-approach-for-predictive-modeling-of-bioprocesses-using-small-data

  Collection of neural network classes, k-fold hyperparameter optimisation functions, training methods, bootstrap uncertainty estimation and data utilites

  Language:Python1

• Alex-WR/Comparing-Different-Hybrid-Modelling-Approaches-for-Bioprocess-Predictive-Modelling-and-Uncertainty

  Language:Python1

• yunshengtian/DGEMO

  [NeurIPS 2020] Diversity-Guided Efficient Multi-Objective Optimization With Batch Evaluations

  Language:Python9926

• JixiangChen-Jimmy/BBO-DMoAF

  Official implementation of the 'Batch Bayesian Optimization with adaptive batch acquisition functions via multi-objective optimization' by Jixiang Chen, Fu Luo, Genghui Li, and Zhenkun Wang.

  Language:Python4

• r-costa/sbml2hyb

  sbml2hyb is a tool for SBML compatible hybrid modelling of biological systems

  Language:Python52

• python-poetry/poetry

  Python packaging and dependency management made easy

  Language:Python31.1k2.3k

• maziarraissi/PINNs

  Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

  Language:Python3.7k1.2k

• experimental-design/bofire

  Experimental design and (multi-objective) bayesian optimization.

  Language:Jupyter Notebook20722

• MichaelisTrofficus/gpt4docstrings

  Generating Python docstrings with OpenAI ChatGPT!!

  Language:Python11510

• barahona-research-group/RamanSPy

  RamanSPy: An open-source Python package for integrative Raman spectroscopy data analysis

  Language:Jupyter Notebook7116

• JaronThompson/ParametricBatchBO

  Repository for "A Parametric Bayesian Optimization Framework for Batch Dynamical Systems"

  Language:Jupyter Notebook51

• rtqichen/torchdiffeq

  Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

  Language:Python5.5k908