ragavvenkatesan Goto Github PK

adversarial-distillation

Performing Distillation Adversarially. - This is a work in progress at the moment.

amazon-sagemaker-examples

Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker

client-server-udp-protocol

Udp protocol of communication between a client and server implemented using semaphores.

cse591-practicals

Codes for ASU, CSE591, Spring 2017.

d-sne

Implementation of our proposed algorithm in domain adaptation for image classification

estimator

TensorFlow Estimator

fun-with-coin-tosses

Just a problem we worked in my TA class. Fun way to understand beta and binomial Distributions.

generality

Code for the paper, Neural Dataset Generality by Ragav Venkatesan, Vijetha Gatupalli and Baoxin Li

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

gluon-cv

Gluon CV Toolkit

handcricket

A codebase to recreate my childhood fun.

hashing_autoencoders

This is a Hashing Autoencoder.

incremental-gan

Just some experiments on GANs hallucinating data samples for an incremental learner.

instagram-crawling

Code to Crawl Down Instagram data using A BFS from some starting user and also collect MIT popularity score along with every image.

metrics

Machine learning metrics for distributed, scalable PyTorch applications.

models

Models and examples built with TensorFlow

monty-hall

Test Sync

n2n

notes-rl

Collection of technical/paper notes related to reinforcement learning, with compact summary and detailed mathematical derivations.

np-mil

Code for Ragav Venkatesan, Parag Shridhar Chandakkar, Baoxin Li "Simpler non-parametric methods provide as good or better results to multiple-instance learning." at the IEEE International Conference on Computer Vision (ICCV), Santiago, Chile, 2015.

producer-consumer

Class Project for Operating Systems Class. I created a semaphore system that runs a lot of asynchronous and synchronous threads simultaneously using user threads.

pwc

Papers with code. Sorted by stars. Updated weekly.

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-cifar

95.16% on CIFAR10 with PyTorch

ragavvenkatesan.github.io

My personal Website.

ray

A system for parallel and distributed Python that unifies the ML ecosystem.

readers-writers

The infamous readers and writers problem being demonstrated using semaphores

regularizer-network

A network that regularizes the other.

sagemaker-python-sdk

A library for training and deploying machine learning models on Amazon SageMaker

searchengine

This is the repository for my Information Retrieval course project from ASU Spring 2015 course.