gokriznastic/deep-learning-presentation

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Created about 7 years ago
Updated about 6 years ago

gokriznastic/deep-learning-presentation

gokriznastic

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

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

20-newsgroups_text-classification

"20 newsgroups" dataset - Text Classification using Multinomial Naive Bayes in Python.

Jupyter Notebook

SegAN

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

pytorch-scholarship-challenge_udacity

A collection of notebooks and projects done as a part of Udacity's Pytorch Scholarship Challenge.

Jupyter Notebook

pytorch-udacity-nanodegree

A collection of notebooks and projects done as a part of Udacity's Deep Learning Nanodegree using Pytorch.

Jupyter Notebook

torch-style-transfer

A PyTorch implementation of "A Neural Algorithm of Artistic Style" by L. Gatys, A. Ecker, and M. Bethge.

Jupyter Notebook

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.

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

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