Gopal Krishna (@gokriznastic)
github

gokriznastic

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  • Stars
    star
    357
  • Global Rank 77,299 (Top 3 %)
  • Followers 114
  • Following 687
  • Registered about 9 years ago
  • Most used languages
    Jupyter Notebook
         70.0 %
    Python
         20.0 %
    TeX
         10.0 %
  • Location 🇮🇳 India
  • Country Total Rank 1,862
  • Country Ranking
    Jupyter Notebook
         117
    TeX
         429
    Python
         2,713

Top repositories

1

HybridSN

A keras based implementation of Hybrid-Spectral-Net as in IEEE GRSL paper "HybridSN: Exploring 3D-2D CNN Feature Hierarchy for Hyperspectral Image Classification".
Jupyter Notebook
309
star
2

20-newsgroups_text-classification

"20 newsgroups" dataset - Text Classification using Multinomial Naive Bayes in Python.
Jupyter Notebook
43
star
3

SegAN

A PyTorch implementation of image segmentation GAN from the paper "SegAN: Adversarial Network with Multi-scale L1 Loss for Medical Image Segmentation".
Python
29
star
4

pytorch-scholarship-challenge_udacity

A collection of notebooks and projects done as a part of Udacity's Pytorch Scholarship Challenge.
Jupyter Notebook
7
star
5

pytorch-udacity-nanodegree

A collection of notebooks and projects done as a part of Udacity's Deep Learning Nanodegree using Pytorch.
Jupyter Notebook
7
star
6

torch-style-transfer

A PyTorch implementation of "A Neural Algorithm of Artistic Style" by L. Gatys, A. Ecker, and M. Bethge.
Jupyter Notebook
6
star
7

chexpert

Proposed solution and baseline for CheXpert dataset, implemented in PyTorch. CheXpert is a large dataset of chest X-rays and competition for automated chest x-ray interpretation by Stanford ML Group.
Python
5
star
8

gradient-descent-linear-regression

Using Linear Regression and Stochastic Gradient Descent coded from scratch to predict the electrical energy output for a combined circle power plant.
Jupyter Notebook
2
star
9

deep-learning-presentation

A (seminar) presentation on basics of Deep Learning made using TeX.
TeX
1
star
10

generate-tv-scripts

Project 3 of Udacity's DLND: In this project, we learn how to generate your own 'Seinfeld' TV scripts using RNNs. The neural network generates a new, "fake" TV script.
Jupyter Notebook
1
star