gokriznastic

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.

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.

pytorch-udacity-nanodegree

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

torch-style-transfer

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

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.

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.

augmented-reality

Project 4 - Calibration and Augmented Reality, for CS-5330: Pattern Recognition and Computer Vision, Spring 2022.

cs7180-color-constancy

cs7180-image-enhancement

Image enhancement based on Image Style Transfer using CNN by Gatys et al.

dog-breed-classifier

Project 2 of Udacity's DLND: In this project, we learn how to build a pipeline to process real-world, user-supplied images. Given an image of a dog, the algorithm will identify an estimate of the canine’s breed.

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

first-contributions

🚀✨ Help beginners to contribute to open source projects

gan-experiments

gan-genarate-faces

Project 4 of Udacity's DLND: In this project, we use generative adversarial networks to generate new images of faces.

gokriznastic.github.io

Personal website

my-data-science-playground

This repository contains my scripts, demos, mini-project and ideas/prototypes I try in python, machine learning, deep learning and data science in general etc.

pred-bike-sharing-patterns

Project 1 of Udacity's DLND: In this project, we build and train our own Neural Network from scratch to predict the number of bikeshare users on a given day.

pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

reinforcement-udacity-nanodegree

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

sentiment-analysis-deployment

Project 5 of Udacity's DLND: In this project, we construct a recurrent neural network for sentiment analysis and deploy the model using Amazon's SageMaker service.

simplest-TensorFlow-tutorial

The simplest TensorFlow tutorial for classification of MNIST dataset using neural networks in TensorFlow.

titanic_exploratory-data-analysis

Exploratory analysis of the Titanic data set in Python using NumPy & Pandas.

twitter-sentiment-mining

Mining Twitter for data to analyse live sentiments about a certain event.

ufi

Repository for final year project on face recognition of Unconstrained Facial Images.

vision

Datasets, Transforms and Models specific to Computer Vision

yellowbrick

Visual analysis and diagnostic tools to facilitate machine learning model selection.