A.Ziehe (luckywood)

luckywood

Geek Repo

Company:@ TU Berlin

Location:Berlin

Github PK Tool:Github PK Tool

A.Ziehe's starred repositories

SparseConnectivityTracer.jl

Fast operator-overloading Jacobian & Hessian sparsity detection.

Language:JuliaLicense:MITStargazers:26Issues:0Issues:0

slimevolleygym

A simple OpenAI Gym environment for single and multi-agent reinforcement learning

Language:PythonLicense:Apache-2.0Stargazers:711Issues:0Issues:0

ast

Code for the Interspeech 2021 paper "AST: Audio Spectrogram Transformer".

Language:Jupyter NotebookLicense:BSD-3-ClauseStargazers:1099Issues:0Issues:0

Diagonalizations.jl

Diagonalization procedures for Julia (PCA, Whitening, MCA, gMCA, CCA, gCCA, CSP, CSTP, AJD, mAJD)

Language:JuliaLicense:NOASSERTIONStargazers:35Issues:0Issues:0

DifferentiationInterface.jl

An interface to various automatic differentiation backends in Julia.

Language:JuliaLicense:MITStargazers:160Issues:0Issues:0

qndiag

Quasi-Newton algorithm for joint-diagonalization

Language:PythonLicense:MITStargazers:31Issues:0Issues:0

SparseMatrixColorings.jl

Coloring algorithms for sparse Jacobian and Hessian matrices

Language:JuliaLicense:MITStargazers:14Issues:0Issues:0

SimpleNonlinearSolve.jl

Fast and simple nonlinear solvers for the SciML common interface. Newton, Broyden, Bisection, Falsi, and more rootfinders on a standard interface.

Language:JuliaLicense:MITStargazers:1Issues:0Issues:0

audioseal

Localized watermarking for AI-generated speech audios, with SOTA on robustness and very fast detector

Language:PythonLicense:MITStargazers:401Issues:0Issues:0

ModelingToolkit.jl

An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations

Language:JuliaLicense:NOASSERTIONStargazers:1407Issues:0Issues:0

universal_differential_equations

Repository for the Universal Differential Equations for Scientific Machine Learning paper, describing a computational basis for high performance SciML

Language:JuliaLicense:MITStargazers:217Issues:0Issues:0

DataDrivenDiffEq.jl

Data driven modeling and automated discovery of dynamical systems for the SciML Scientific Machine Learning organization

Language:JuliaLicense:MITStargazers:404Issues:0Issues:0

NoiseRobustDifferentiation.jl

Total Variation Regularized Numerical Differentiation

Language:JuliaLicense:NOASSERTIONStargazers:35Issues:0Issues:0

innvestigate

A toolbox to iNNvestigate neural networks' predictions!

Language:PythonLicense:NOASSERTIONStargazers:2Issues:0Issues:0

innvestigate

A toolbox to iNNvestigate neural networks' predictions!

Language:PythonLicense:NOASSERTIONStargazers:1252Issues:0Issues:0

ExplainableAI.jl

Explainable AI in Julia.

Language:JuliaLicense:MITStargazers:105Issues:0Issues:0

zennit

Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.

Language:PythonLicense:NOASSERTIONStargazers:187Issues:0Issues:0

KC854_MiSTer

Port of a Robotron KC85/4 to Mister.

Language:VHDLStargazers:2Issues:0Issues:0
Language:JavaScriptLicense:NOASSERTIONStargazers:26Issues:0Issues:0

SymbolicRegression.jl

Distributed High-Performance Symbolic Regression in Julia

Language:JuliaLicense:Apache-2.0Stargazers:576Issues:0Issues:0

AlgebraicMultigrid.jl

Algebraic Multigrid in Julia

Language:JuliaLicense:NOASSERTIONStargazers:116Issues:0Issues:0

siren

Official implementation of "Implicit Neural Representations with Periodic Activation Functions"

Language:PythonLicense:MITStargazers:1730Issues:0Issues:0

plotly.py

The interactive graphing library for Python :sparkles: This project now includes Plotly Express!

Language:PythonLicense:MITStargazers:15957Issues:0Issues:0

dash-core-components

OBSOLETE: now part of https://github.com/plotly/dash

Language:PythonLicense:MITStargazers:270Issues:0Issues:0