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scikit-dsdp Public
Forked from zhisu/scikit-dsdpscikit-dsdp provides Python interface to DSDP semidefinite programming library. The DSDP package implements a dual-scaling algorithm to find solutions to linear and semidefinite optimization proble…
C Other UpdatedFeb 4, 2026 -
PDE-Discovery-EC Public
Data-driven PDE Discovery using Evolutionary Computation
Jupyter Notebook MIT License UpdatedSep 25, 2025 -
OKRidge Public
Forked from jiachangliu/OKRidgePython BSD 3-Clause "New" or "Revised" License UpdatedAug 7, 2025 -
knockpy Public
Forked from amspector100/knockpyKnockoffs for controlled variable selection
Python MIT License UpdatedJul 16, 2025 -
parametric-discovery Public
Forked from snagcliffs/parametric-discoveryParametric PDE discovery using UBIC (uncertainty-penalized Bayesian information criterion)
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UBIC-test Public
Uncertainty-penalized Bayesian information criterion (UBIC) for PDE Discovery
model-selection partial-differential-equations uncertainty-quantification system-identification bayesian-information-criterion information-criterion model-discoveryJupyter Notebook MIT License UpdatedMay 14, 2025 -
CHS Public
Comprehensive search and Bayesian model selection for sparse identification of governing equations
Jupyter Notebook MIT License UpdatedMay 14, 2025 -
UBIC-play Public
Uncertainty-penalized Bayesian information criterion (UBIC) for PDE Discovery
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UBIC Public
Uncertainty-penalized Bayesian information criterion (UBIC) for PDE Discovery
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Research experiments
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PDE-FIND Public
Forked from snagcliffs/PDE-FINDPDE discovery using UBIC (uncertainty-penalized Bayesian information criterion)
model-selection partial-differential-equations uncertainty-quantification system-identification bayesian-information-criterion information-criterion model-discoveryGnuplot UpdatedJun 8, 2024 -
mdl-complexity Public
Forked from csinva/mdl-complexityMDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".
Jupyter Notebook UpdatedApr 30, 2024 -
The official implementation of "Encoder-Decoder Based Convolutional Neural Networks with Multi-Scale-Aware Modules for Crowd Counting"
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ICOMP Public
A Python package implementing informational complexity (ICOMP) criteria for regression models
information-theory linear-regression model-selection complexity linear-models bayesian-information-criterion complexity-measurePython MIT License UpdatedMar 18, 2024 -
pysindy Public
Forked from dynamicslab/pysindyA package for the sparse identification of nonlinear dynamical systems from data
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l0bnb Public
Forked from jonathan-taylor/l0bnbSolves the best subset selection problem
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PINNpapers Public
Forked from idrl-lab/PINNpapersMust-read Papers on Physics-Informed Neural Networks.
Python MIT License UpdatedFeb 5, 2023 -
kuramoto-sivashinsky-solver Public
It's a kuramoto-sivashinsky neural network solver
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Multi-task physics-informed neural networks
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Denoise-data-using-FFT Public
Denoise your data using FFT with learnable threshold for automatically keeping essential high frequencies.
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Thailand-Covid19-Heatmap Public
Thailand Covid19 cases dynamically plotted on the map
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Automatic differentiation with multi-task learning techniques for non-negative matrix factorization (NMF)
Jupyter Notebook UpdatedJun 16, 2021 -
Machine-learning-algorithms Public
My implementation of some machine learning algorithms
UpdatedApr 7, 2021 -
Ladder Networks simple implementation in pytorch
UpdatedApr 6, 2021 -
Awesome-Crowd-Counting Public
Forked from gjy3035/Awesome-Crowd-CountingAwesome Crowd Counting
UpdatedNov 13, 2020 -
Simple Python3 implementation of Grid average mean absolute error (GAME) used for evaluate TRANCOS vehicle counting
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