FateZer0's repositories
bayesian-sde
Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"
BernDirac
A Mathematica package for performing calculations involving matrices/vectors in the Dirac notation which is usually used in quantum mechanics/quantum computing.
QuantumPhysicsWithDeepLearning
Trains a keras neural network on data of the solved schrodinger's equation. The inputs of this model are samples from the potential from within the infinite asymmetric potential well and the output is samples from the solved wavefunction. The data is collected by solving the schrodinger's equation using a numeric method called the Runge-Kutta method.
DL-holographic-conductivity
Deep learning black hole metrics from conductivity
DL_and_AdS_CFT
Implementation of DL method from (Hashimoto, et al, 2018)
einstein-qed
arXiv:2105.12577 [hep-th]
entropy_dnn
Code for project on relative entropy in deep neural networks
examples
Example xAct notebooks with common usage patterns
FieldsX
An extension package for the xAct tensor computer algebra suite to include fermions, gauge fields and BRST cohomology
GeodesicsInSlowlyRotatingKerr
This mathematica code numerically solves the Hamilton and geodesic equations in Slowly-rotating Kerr
Gravitational_Wave
Collection of Mathematica notebooks worked out for a variety of papers and books. Utilizes the General Relativity Tensors package from the Black Hole Perturbation Toolkit package. If you don't have access to Mathematica, you can still read the files by using Wolfram Player available here: https://www.wolfram.com/player/
Holographic-Approach-to-Thermalization-in-General-Anisotropic-Theories
Numerically check the results in JHEP 03 164 (2021).
Holography-and-Deep-Learning
Use deep learning to reconstruct the bulk geometry in AdS/CFT framework.
notebooks
A collection of research notebooks in *cosmology*.
PHYS-31415-Summer-2021
Collection of assignments and lessons in Quantum Computation using Qiskit
Physics-Based-Deep-Learning
Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond
PhySO
Physical Symbolic Optimization
PyCBC-Tutorials
Learn how to use PyCBC to analyze gravitational-wave data and do parameter inference.
QI
Quantum information mathematica package
qiskit-textbook
A university quantum algorithms/computation course supplement based on Qiskit
quimb
A python library for quantum information and many-body calculations including tensor networks.
supervised-Kerr-PINNs
Quasinormal modes and separation constants of Kerr black holes perturbed by gravitational fields.
Swampland
We study the Swampland criteria for canonical scalar potentials for the case of a rescaled f(R) gravity under the assumption that a Parity odd string corretive term is present.
teachablemachine-community
Example code snippets and machine learning code for Teachable Machine
tensor_network_states_tutorials
This is a tutorial prepared for a summer school in Changsha in 2021
TensorNetwork
A library for easy and efficient manipulation of tensor networks.
volume-law
Accompanying code for "Comment on 'Can Neural Quantum States Learn Volume-Law Ground States?'"