Saleh0694

Saleh0694's Stars

• MariusZeinhofer/Natural-Gradient-PINNs-ICML23

  This is the repository for the code used in the ICML23 paper called "Achieving High Accuracy with PINNs via Energy Natural Gradient Descent"

  Language:Python177

• li012589/NeuralWavelet

  Implementation for the paper "Learning Non-linear Wavelet Transformation via Normalizing Flow"(arXiv:2101.11306)

  Language:Python305

• meteostat/meteostat-python

  Access and analyze historical weather and climate data with Python.

  Language:Python45862

• mathLab/PINA

  Physics-Informed Neural networks for Advanced modeling

  Language:Python41969

• CFEL-CMI/FlowBasis

  FlowBasis: Variational solutions of perturbed quantum harmonic oscillator problems via augmented basis sets.

  Language:Python61

• CFEL-CMI/Active-Learning-of-PES

  ALPES: Stochastic active learning of potential energy surfaces.

  Language:Python4

• zingale/comp_astro_tutorial

  Tutorial on computational astrophysics

  Language:Jupyter Notebook437

• tlienart/Franklin.jl

  (yet another) static site generator. Simple, customisable, fast, maths with KaTeX, code evaluation, optional pre-rendering, in Julia.

  Language:Julia978115

• Shmoo137/SummerSchool2021_MLinQuantum

  The repository contains Jupyter notebooks for hands-on tutorials organized within the Summer School: Machine Learning for Quantum Physics and Chemistry (24th August - 3rd September 2021, Warsaw).

  Language:Jupyter Notebook3811

• CFEL-CMI/richmol

  Richmol is for variational simulations of molecular nuclear motion dynamics in fields

  Language:Fortran71

• esa/torchquad

  Numerical integration in arbitrary dimensions on the GPU using PyTorch / TF / JAX

  Language:Python19241

• Orcuslc/OrthNet

  TensorFlow, PyTorch and Numpy layers for generating Orthogonal Polynomials

  Language:Python314

• gcarleo/netket

  Machine learning algorithms for many-body quantum systems

  Language:Python2

• ntucllab/libact

  Pool-based active learning in Python

  Language:Python778173

• MichielStock/Teaching

  Stuff for educational purposes, mainly machine learning, Python and statistics

  Language:Jupyter Notebook9530

• kuehnste/QiskitTutorial

  Basic Qiskit Tutorials prepared for the RWTH block course on quantum computing

  Language:Jupyter Notebook44

• audeg/Sinkhorn-GAN

  Learning generative models with Sinkhorn Loss

  Language:Python2812

• deepqmc/deepqmc

  Deep learning quantum Monte Carlo for electrons in real space

  Language:Python37163

• google-deepmind/spectral_inference_networks

  Implementation of Spectral Inference Networks, ICLR 2019

  Language:Python17131

• dsgissin/DiscriminativeActiveLearning

  Code and website for DAL (Discriminative Active Learning) - a new active learning algorithm for neural networks in the batch setting. For the blog:

  Language:Python20255

• msurtsukov/neural-ode

  Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations

  Language:Jupyter Notebook721121

• MatthiasKi/SobolevTrainingApproxDerivatives

  Language:Python61