Gopal Krishna (gokriznastic)

gokriznastic

Geek Repo

Company:Northeastern University

Location:Boston, MA

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Gopal Krishna's repositories

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".

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20-newsgroups_text-classification

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

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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.

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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.

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pytorch-udacity-nanodegree

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

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torch-style-transfer

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

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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.

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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.

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augmented-reality

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

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cs7180-image-enhancement

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

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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.

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examples

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

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first-contributions

🚀✨ Help beginners to contribute to open source projects

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gan-genarate-faces

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

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gokriznastic.github.io

Personal website

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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.

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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.

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pretrained-models.pytorch

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

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pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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reinforcement-udacity-nanodegree

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

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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.

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simplest-TensorFlow-tutorial

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

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titanic_exploratory-data-analysis

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

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twitter-sentiment-mining

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

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ufi

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

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vision

Datasets, Transforms and Models specific to Computer Vision

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yellowbrick

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

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