purnavindhya

purnavindhya's Stars

• xi-jia/U-KAN

  U-KAN: U-Shape Kolmogorov-Arnold Network for Image Registration

  Language:Python143

• elifgazioglu/doyouwannagooutwithme

  Language:HTML553192

• phlippe/uvadlc_notebooks

  Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023

  Language:Jupyter Notebook2.7k604

• fungtion/DANN

  pytorch implementation of Domain-Adversarial Training of Neural Networks

  Language:Python860155

• sladewinter/ConvLSTM

  Language:Jupyter Notebook3410

• Mooon/learning_microstructure_evolution

  Prediction of material microstructure evolution via convolutional LSTM neural networks. Implementation in pytorch.

  Language:Python31

• perslev/U-Time

  U-Time: A Fully Convolutional Network for Time Series Segmentation

  Language:Python26168

• heprom/pymicro

  A Python package to work with material microstructures and 3d data sets

  Language:Python4422

• bessagroup/rvesimulator

  Automated representative volume element simulator via abaqus for material constitutive law discovery

  Language:Python175

• bessagroup/f3dasm

  Framework for Data-Driven Design & Analysis of Structures & Materials (F3DASM)

  Language:Python11630

• thuml/DAN

  Code release of "Learning Transferable Features with Deep Adaptation Networks" (ICML 2015)

  Language:C++16073

• mabessa/F3DAM

  Framework for Data-Driven Design and Analysis of Materials

  Language:OpenEdge ABL3419

• AlbanOdot/DeepPhysics-article

  This repository present the code associated with the paper DeepPhysics: a physics aware deep learning framework for real-time simulation

  Language:Python51

• NBoulle/greenlearning

  Learning Green's functions of partial differential equations with deep learning.

  Language:Python6312

• ahenkes1/HENKES_GAN

  Code of the publication "Three-dimensional microstructure generation using generative adversarial neural networks in the context of continuum micromechanics" published in https://doi.org/10.1016/j.cma.2022.115497 by Alexander Henkes and Henning Wessels from TU Braunschweig.

  Language:Python53

• IntelLabs/bayesian-torch

  A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch

  Language:Python56178

• Harry24k/bayesian-neural-network-pytorch

  PyTorch implementation of bayesian neural network [torchbnn]

  Language:Python50779

• JavierAntoran/Bayesian-Neural-Networks

  Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

  Language:Jupyter Notebook1.9k304

• tommathewXC/EntropyOptimizedPortfolio

  Portfolio optimization using the asset entropy as a measure of risk.

  Language:Matlab83

• adityajaas/EE609A_Sparse_Index_Tracking

  Term project based on Sparse Index Tracking for Passive Investment

  Language:MATLAB5

• VarunKausika/Index-tracking-portfolio

  Creating a portfolio that optimally tracks an index using 2 methods

  Language:Jupyter Notebook2

• alvarorga/index_tracking

  Replication of Financial Index Tracking computations reported in: arXiv:2008.12050

  Language:Jupyter Notebook62