Jayanth Boddu's repositories
adl_seismic
adl adapted to seismic denoising
blog
analytics blog
create_dataset_from_xarray
Creating a pytorch dataset from array
d2geo
Framework for computing seismic attributes with Python.
DRIFT
DRIFT is a tool for Diachronic Analysis of Scientific Literature.
examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
first_breaks_picking
First break picking in seismic gather
gatsby-bootcamp
Gatsby bootcamp project
hierarchical-clustering
A Python implementation of divisive and hierarchical clustering algorithms. The algorithms were tested on the Human Gene DNA Sequence dataset and dendrograms were plotted.
jayantb1019.github.io
This is a short resume / summary of my work.
KAIR
Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR
lefthomas_SRGAN
A PyTorch implementation of SRGAN based on CVPR 2017 paper "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"
Machine-Learning-Competition-2020
SPWLA PDDA’s 1st Petrophysical Data-Driven Analytics Contest -- Sonic Log Synthesis
mineral-exploration-machine-learning
This page lists resources for mineral exploration and machine learning, generally with useful code and examples.
neural-enhance
Super Resolution for images using deep learning.
notea
📒 Self hosted note taking app stored on S3
pytorch-geometric-gan
Code accompanying the paper "Geometric GAN"
Radon_Py
Parabolic Radon Transform - least-squares solution via CG
seismiqb
Seismic data interpretation with deep learning
srgan
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
store-main-heroku
simple inventory app built using streamlit
streamlit-decision-trees
Hyper Parameter Tuning in Decision Trees using Streamlit
variational-encoders-from-first-principles
Course notes for CS228: Probabilistic Graphical Models.