Gautham Krishna Gudur (gauthamkrishna-g)

gauthamkrishna-g

Geek Repo

Company:University of Texas at Austin

Location:Austin

Home Page:https://gauthamkrishna-g.github.io/

Twitter:@gauthamkrishna_

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Gautham Krishna Gudur's repositories

ActiveHARNet

ActiveHARNet: Towards On-Device Deep Bayesian Active Learning for Human Activity Recognition

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Dynamic-Gesture-Recognition

Design of a Multi-modal Dynamic Gesture Recognition System using Machine Learning by extracting generic data-independent features

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HARNet

HARNet: Towards On-Device Incremental Learning using Deep Ensembles on Constrained Devices for Human Activity Recognition

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Real-Time-Sentiment-Analyzer-of-Twitter-Trends

A Real-Time Graphing of Twitter Trends using Sentiment Analysis

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Gest-Face

A Face Detection and Gesture Recognition App

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HackerRank

A collection of most of my solutions in HackerRank (Algorithms Domain)

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Intelligent-Bus-Stop-Recognition-System

A Bus Stop Recognition Engine using Image Classification with a lightweight classifier in run-time

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Machine-Learning-Specialization-UniversityofWashington-Coursera

Assignments for the Machine Learning Specialization by UWash

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awesome-emdl

Embedded and mobile deep learning research resources

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beautiful-jekyll

:sparkles: Build a beautiful and simple website in literally minutes. Demo at http://deanattali.com/beautiful-jekyll

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coding-interview-university

A complete computer science study plan to become a software engineer.

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course-v3

The 3rd edition of course.fast.ai

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daattali.github.io

Dean Attali's website https://deanattali.com

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gauthamkrishna-g.github.io

My Personal Website

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gpytorch

A highly efficient and modular implementation of Gaussian Processes in PyTorch

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Hands-On-Meta-Learning-With-Python

Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow

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keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano.

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leetcode

My Python & JAVA Solutions for Leetcode

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Machine-Learning-Stanford-Coursera

Assignments for the MOOC by Prof. Andrew Ng from Stanford

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metal

Snorkel MeTaL: A framework for training models with multi-task weak supervision

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modAL

A modular active learning framework for Python3

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Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

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ProgrammingAssignment2

Repository for Programming Assignment 2 for R Programming on Coursera

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Python

All Algorithms implemented in Python

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pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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snorkel

A system for quickly generating training data with weak supervision

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tensorflow

An Open Source Machine Learning Framework for Everyone

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Udacity-Deep-Learning

Assignments for the Deep Learning course - ud370 by Udacity (Google)

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