Chaztikov's repositories
resolventchannel
Resolvent analysis of turbulent channel flow
flow_past_cylinder_by_DRL
code for active flow control of flow around cynder using Deep Reinforcement Learning
ML-ROM_turbulent_flow
This repository contains the simple source codes of "Convolutional neural network and long short-term memory based reduced order surrogate for minimal turbulent channel flow"
2D-Turbulence-Python
Simple OOP Python Code to run some Pseudo-Spectral 2D Simulations of Turbulence
alternative-internet
A collection of interesting new networks and tech aiming at decentralisation (in some form).
awesome-nas-papers
Awesome Neural Architecture Search Papers
blur
The Blur Network is a privacy-oriented peer-to-peer network, built upon the premise that privacy is incompatible with centralization. BLUR employs a custom mining algorithm called CryptoNight-Dynamic. Iterations adjust approximately once every five seconds, with a goal of maintaining CPU advantages over specialized mining hardware.
CAAE-DRDCN-inverse
Deep residual networks for dimensionality reduction and surrogate modeling in high-dimensional inverse problems
Cardio-PINN
Code and data in support of publication on Cardiac PINN
gke
Generalized Kolmogorov Equation (GKE) for turbulent channels and other plane geometries
inn-surrogate
Solving inverse problems using conditional invertible neural networks.
Keras-GAN
Keras implementations of Generative Adversarial Networks.
miningcore
Miningcore is a high-performance Mining-Pool Engine that runs on Linux and Windows and supports a variety of crypto-currencies.
monero-pool
A Monero mining pool server written in C
NNets-and-Diffeqns
jupyter notebooks for the neural nets and differential equation paper
nsfminer
No Fee Ethash miner for AMD and Nvidia
PDEsByNNs
This repository contains a number of Jupyter Notebooks illustrating different approaches to solve partial differential equations by means of neural networks using TensorFlow.
Physics_informed_GANs_turbulent_flows
Generative Adversarial Networks are used to super resolve turbulent flow fields from low resolution (RANS/LES) fields to high resolution (DNS) fields without solving NS equations numerically.
PINN-elastodynamics
physics-informed neural network for elastodynamics problem
PINN_Heat_Transfer
PINN for heat transfer problems
PINN_HeatTransfer_tf2
Soving heat transfer problems using PINN with tf2.0
PINNs-TF2.0
TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).
pyfvm
Finite volume discretization tools for Python.
simplepool
A simple Ethereum mining pool
svdfr
Singular values of frequency responses using Chebfun
Tools-to-Design-or-Visualize-Architecture-of-Neural-Network
Tools to Design or Visualize Architecture of Neural Network
TopologyLayer
A Topology Layer for Machine Learning : Persistent Homology + Features for PyTorch
X-Ray-Angio-data
Supporting data for the study "Reconstruction and structured meshing of coronary arteries from X-ray angiography"