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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".20-newsgroups_text-classification
"20 newsgroups" dataset - Text Classification using Multinomial Naive Bayes in Python.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.pytorch-udacity-nanodegree
A collection of notebooks and projects done as a part of Udacity's Deep Learning Nanodegree using Pytorch.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.deep-learning-presentation
A (seminar) presentation on basics of Deep Learning made using TeX.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.Love Open Source and this site? Check out how you can help us