sergio-dorado's Stars
dietmarw/TSE3080_ElectricalMachines
Examples and solutions for Electrical Machines
ianyh/Amethyst
Automatic tiling window manager for macOS à la xmonad.
gpoore/minted
minted is a LaTeX package that provides syntax highlighting using the Pygments library. Highlighted source code can be customized using fancyvrb.
desh2608/numerical-linear-algebra
Solutions to exercises in Numerical Linear Algebra by Trefethen and Bau.
google/latexify_py
A library to generate LaTeX expression from Python code.
lanl-ansi/PowerModels.jl
A Julia/JuMP Package for Power Network Optimization
ASPP/2019-camerino-parallel-python
Repository for Parallel Python @ ASPP 2019
erichson/koopmanAE
Consistent Koopman Autoencoders
MIMII-hitachi/mimii_baseline
A baseline sample code of anomaly detection for MIMII Dataset
laszukdawid/homemade-machine-learning
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
nvecoven/BRC
A repository containing the code for the Bistable Recurrent Cell
aymericdamien/TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
ilayn/harold
An open-source systems and controls toolbox for Python3
JosvanderWesthuizen/janet
Code for the forget-only version of the LSTM in the paper "The unreasonable effectiveness of the forget gate"
sashkarivkind/MemoryRNN
Code for 'Understanding and Controlling Memory in Recurrent Neural Networks'
jump-dev/JuMPTutorials.jl
Tutorials on using JuMP for mathematical optimization in Julia
OpenIPSL/OpenIPSL
A library of power system component models written in the Modelica language that can be used for power system dynamic analysis, such as phasor time-domain simulations.
hfawaz/dl-4-tsc
Deep Learning for Time Series Classification
rll/deepul
000Justin000/torchdiffeq
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
nengo/keras-lmu
Keras implementation of Legendre Memory Units
lululxvi/deepxde
A library for scientific machine learning and physics-informed learning
naganandy/graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
sbromberger/LightGraphs.jl
An optimized graphs package for the Julia programming language
CATIA-Systems/FMPy
Simulate Functional Mockup Units (FMUs) in Python
alelab-upenn/graph-neural-networks
Library to implement graph neural networks in PyTorch
cuihantao/Andes.jl
Julia interface for ANDES, a power system tool for symbolic modeling and numerical simulation
JuliaLang/julia
The Julia Programming Language
Zymrael/awesome-neural-ode
A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.
taichi-dev/difftaichi
10 differentiable physical simulators built with Taichi differentiable programming (DiffTaichi, ICLR 2020)