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Name: Gopal Krishna
Type: User
Company: Northeastern University
Bio: Machine Learning | Computer-Vision | Python
Location: Boston, MA
Name: Gopal Krishna
Type: User
Company: Northeastern University
Bio: Machine Learning | Computer-Vision | Python
Location: Boston, MA
"20 newsgroups" dataset - Text Classification using Multinomial Naive Bayes in Python.
Project 4 - Calibration and Augmented Reality, for CS-5330: Pattern Recognition and Computer Vision, Spring 2022.
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.
A (seminar) presentation on basics of Deep Learning made using TeX.
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 canineβs breed.
πβ¨ Help beginners to contribute to open source projects
Project 4 of Udacity's DLND: In this project, we use generative adversarial networks to generate new images of faces.
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.
Personal website
Using Linear Regression and Stochastic Gradient Descent coded from scratch to predict the electrical energy output for a combined circle power plant.
This is a minimalistic theme template for websites.
A keras based implementation of Hybrid-Spectral-Net as in IEEE GRSL paper "HybridSN: Exploring 3D-2D CNN Feature Hierarchy for Hyperspectral Image Classification".
Dungeon Adventure Game implementing MVC pattern for CS 5010 - Programming Design Paradigms - Fall 2021.
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.
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.
A collection of notebooks and projects done as a part of Udacity's Pytorch Scholarship Challenge.
PyTorch Tutorial for Deep Learning Researchers
A collection of notebooks and projects done as a part of Udacity's Deep Learning Nanodegree using Pytorch.
A collection of notebooks and projects done as a part of Udacity's Deep Reinforcement Learning Nanodegree using Pytorch.
A PyTorch implementation of image segmentation GAN from the paper "SegAN: Adversarial Network with Multi-scale L1 Loss for Medical Image Segmentation".
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.
The simplest TensorFlow tutorial for classification of MNIST dataset using neural networks in TensorFlow.
EECE 5645 - Final Project
Exploratory analysis of the Titanic data set in Python using NumPy & Pandas.
A PyTorch implementation of "A Neural Algorithm of Artistic Style" by L. Gatys, A. Ecker, and M. Bethge.
Repository for final year project on face recognition of Unconstrained Facial Images.
Datasets, Transforms and Models specific to Computer Vision
Visual analysis and diagnostic tools to facilitate machine learning model selection.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. πππ
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.