jayantb1019 Goto Github PK
Name: Jayanth Boddu
Type: User
Company: Oil & Natural Gas Corporation Limited
Bio: Full Stack Web Dev earlier. Learning Analytics now.
Twitter: JayanthBoddu
Location: Mumbai
Jayanth Boddu's Projects
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.
felzenszwalb_segmentation
Python implementation of Efficient Graph-Based Image Segmentation
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.
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.