AidarAlimbayev's Stars
IINemo/lm-polygraph
fxrshed/SANIA
aaaastark/Data-Scientist-Books
Data-Scientist-Books (Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Long Short Term Memory, Generative Adversarial Network, Time Series Forecasting, Probability and Statistics, and more.)
JuliaLang/julia
The Julia Programming Language
LithiumDA/L_inf-PINN
[NeurIPS 2022] Minimizing L_inf Physics-Informed Loss for PINN with adversarial training
ebilionis/pymc
NOTICE: master branch now contains PyMC 3 code. PyMC 2 is in branch 2.3.
ebilionis/py-best
Bayesian Exploration Statistical Toolbox
ebilionis/variational-reformulation-of-inverse-problems
Code accompanying the paper: Variational Reformulation of Bayesian Inverse Problems, by. Tsilifis P., Bilionis I., Katsounaros I. and Zabaras N.
ebilionis/py-kle
Karhunen-Loeve Expansions for Gaussian Random Fields in Python
ebilionis/principal-agent-systems-engineering
Computation of Optimal Contracts for Systems Engineering
AidarAlimbayev/AB_diss
AidarAlimbayev/greenhouse_arduino
AidarAlimbayev/Digital_Signal_Processing
AidarAlimbayev/oil_platform_test_stand
AidarAlimbayev/my-first-blog
AidarAlimbayev/Django_tests
AidarAlimbayev/training_cpp
AidarAlimbayev/covid_hackaton_bot
AidarAlimbayev/personal_blog
AidarAlimbayev/training_c
AidarAlimbayev/stm32_test_rep
AidarAlimbayev/PowerX_team
AidarAlimbayev/gateway-remote-config
Provides settings for TTN gateways that receive their settings automatically on start.
AidarAlimbayev/AidarAlimbayev
AidarAlimbayev/aidaralimbayev.github.io
maziarraissi/MultistepNNs
Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems
maziarraissi/ParametricGP-in-Matlab
Parametric Gaussian Process Regression for Big Data (Matlab Version)
maziarraissi/PDE_GP
Machine learning of linear differential equations using Gaussian processes
maziarraissi/backprop
Backpropagation in Python, C++, and Cuda
maziarraissi/DeepTurbulence
Deep Learning of Turbulent Scalar Mixing