dreivmeister's repositories
torchdeeponet
PyTorch implementation of DeepONet (https://arxiv.org/pdf/1910.03193)
skills-github-pages
My clone repository
NonlinearSystemSurrogate.jl
Automatic training of nonlinear system surrogates.
neurodiffeq
A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, including at Harvard IACS.
vqvae.jl
VQVAE in julia, based on: https://arxiv.org/abs/1711.00937
ltc.jl
Liquid Time-constant Networks in Julia
tinygrad
You like pytorch? You like micrograd? You love tinygrad! ❤️
sklearn-onnx
Convert scikit-learn models and pipelines to ONNX
custom-sklearn-onnx
sklearn-onnx + support for multioutput Gaussian Procceses
nanoGPT
The simplest, fastest repository for training/finetuning medium-sized GPTs.
geometricdeeplearning.jl
julia implementation of various ideas from the book: Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges (https://arxiv.org/abs/2104.13478v2)
NonLinearSystemNeuralNetworkFMU.jl
Automatically generate Neural Networks replacing non-linear equation systems inside OpenModelica FMUs.
captions
transcripts and captions for 3blue1brown videos
NewtonMethods.jl
different variations and generalizations of root-finding algorithm Newton's method
StatProofBook.github.io
The Book of Statistical Proofs
ChainRulesCore.jl
AD-backend agnostic system defining custom forward and reverse mode rules. This is the light weight core to allow you to define rules for your functions in your packages, without depending on any particular AD system.
Flux.jl
Relax! Flux is the ML library that doesn't make you tensor
dlf
PyTorch like Deep Learning based on NumPy for education
ode_solver
collection of different ode solvers
metaheuristics
Implementation of methods from: Essentials of Metaheuristics (https://cs.gmu.edu/~sean/book/metaheuristics/Essentials.pdf)
Numerik-1-2
Verfahren aus der Vorlesung Numerik
Naph
Python library for numerical, graph, finite diff pde algorithms
autograd
Efficiently computes derivatives of numpy code.
fem
Finite Element Method in Python based on: https://www.math.hu-berlin.de/~cc/cc_homepage/download/1999-AJ_CC_FS-50_Lines_of_Matlab.pdf
LatticeBoltzmann
python implementations of the LatticeBoltzmann method for fluid simulation
EasyPyTorch
Python Library for convenient use of PyTorch and research paper implementations.
BLASandCORMEN
collection of A&D implementations from Cormen et. al. + C-implementation of BLAS-1 routines
symalg
small cli for symbolic handling of polynomials (derivative, simplifaction, evaluation)