dreivmeister's repositories
NeuralNetworks
Machine Learning Framework mit Python und NumPy (Basis: https://github.com/TheIndependentCode/Neural-Network)
autograd
Efficiently computes derivatives of numpy code.
BLASandCORMEN
collection of A&D implementations from Cormen et. al. + C-implementation of BLAS-1 routines
Calculator
command line calculator in C using shunting yard algorithm
EasyPyTorch
Python Library for convenient use of PyTorch and research paper implementations.
symalg
small cli for symbolic handling of polynomials (derivative, simplifaction, evaluation)
captions
transcripts and captions for 3blue1brown videos
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.
custom-sklearn-onnx
sklearn-onnx + support for multioutput Gaussian Procceses
dlf
PyTorch like Deep Learning based on NumPy for education
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
Flux.jl
Relax! Flux is the ML library that doesn't make you tensor
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)
InstaPy
đź“· Instagram Bot - Tool for automated Instagram interactions
LatticeBoltzmann
python implementations of the LatticeBoltzmann method for fluid simulation
Machine-Learning-Collection
A resource for learning about Machine learning & Deep Learning
metaheuristics
Implementation of methods from: Essentials of Metaheuristics (https://cs.gmu.edu/~sean/book/metaheuristics/Essentials.pdf)
nanoGPT
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Naph
Python library for numerical, graph, finite diff pde algorithms
NewtonMethods.jl
different variations and generalizations of root-finding algorithm Newton's method
NonLinearSystemNeuralNetworkFMU.jl
Automatically generate Neural Networks replacing non-linear equation systems inside OpenModelica FMUs.
Numerik-1-2
Verfahren aus der Vorlesung Numerik
numpy
The fundamental package for scientific computing with Python.
ode_solver
collection of different ode solvers
sklearn-onnx
Convert scikit-learn models and pipelines to ONNX
StatProofBook.github.io
The Book of Statistical Proofs