mrava87

mrava87's Stars

• sede-open/synthoseis

  Generating seismic data and associated labels to train deep learning networks.

  Language:Jupyter Notebook519

• skmda37/ShearletX

  Code repository for the CVPR 2023 paper "Explaining Image Classifiers with Multiscale Directional Image Representation"

  Language:Jupyter Notebook71

• yud08/ucurv

  Uniform Discrete Curvelet Transform

  Language:Jupyter Notebook1

• NVIDIA/nvmath-python

  NVIDIA Math Libraries for the Python Ecosystem

  Language:Cython1937

• VictorCeballos/KAUST-AI-SS

  KAUST AI Summer School 2024

  Language:Jupyter Notebook264

• cako/cuda-by-numba-examples

  Follow this series to learn about CUDA programming from scratch with Python

  Language:Jupyter Notebook52

• LeeJunHyun/Image_Segmentation

  Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.

  Language:Python2.7k593

• dprjoao/Meus_Codigos_Python

  Language:Jupyter Notebook5

• yujiaxin666/rockphypy

  extensive Python library for rock physics modelling

  Language:Python3410

• Beramos/DS-Julia2925

  Julia2925: learn a fast and intuitive programming language in two workdays.

  Language:HTML168

• probabilists/zuko

  Normalizing flows in PyTorch

  Language:Python30023

• RendersJens/imsolve

  Low memory, matrix free slovers useful for image scale optimization

  Language:Python1

• PyLops/pylops-mpi

  MPI-powered PyLops with MPI4Py

  Language:Python131

• cako/jupyterlab-nvdashboard

  A JupyterLab extension for displaying dashboards of GPU usage.

  1

• jwkvam/celluloid

  :movie_camera: Matplotlib animations made easy

  Language:Python1.1k44

• deepinv/deepinv

  PyTorch library for solving imaging inverse problems using deep learning

  Language:Python27563

• RendersJens/ImWIP

  Image Warping for Inverse Problems

  Language:Python84

• mshaikh786/Dist-DL-training

  Language:Jupyter Notebook1

• kaust-rccl/deepspeed_workshop

  MS DeepSpeed handson workshop 2023

  Language:Python11

• jameschapman19/scikit-prox

  A package for fitting regularized models from scikit-learn via proximal gradient descent

  Language:Python4

• ajcampbell25/VSP_Basics

  Notebooks for basic VSP processing

  Language:Jupyter Notebook283

• DIG-Kaust/SSDeblend

  Language:Jupyter Notebook71

• DIG-Kaust/RockGAN

  Reproducible material for A Wasserstein GAN with gradient penalty for 3D porous media generation.

  Language:Jupyter Notebook276

• huggingface/diffusion-models-class

  Materials for the Hugging Face Diffusion Models Course

  Language:Jupyter Notebook3.5k378

• DIG-Kaust/Seismic_PnP

  Plug and Play Post-Stack Seismic Inversion with CNN-based Denoisers

  Language:Jupyter Notebook204

• xwying/torchshow

  Visualize PyTorch tensors with a single line of code.

  Language:Python6008

• clementchadebec/benchmark_VAE

  Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

  Language:Python1.8k161

• frgfm/torch-scan

  Seamless analysis of your PyTorch models (RAM usage, FLOPs, MACs, receptive field, etc.)

  Language:Python20722

• navid58/RayTracing

  MATLAB code for seismic ray tracing

  Language:MATLAB184

• vturrisi/solo-learn

  solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning

  Language:Python1.4k182