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Skanda Koppula's Projects

alexa-avs-sample-app icon alexa-avs-sample-app

This project demonstrates how to access and test the Alexa Voice Service using a Java client (running on a Raspberry Pi), and a Node.js server.

amun icon amun

Fast stand-alone C++ decoder for RNN-based NMT models

battlecode-2014 icon battlecode-2014

Implementation of a Java AI for the MIT BattleCode Competition 2014

cutie icon cutie

[arXiv 2023] Putting the Object Back Into Video Object Segmentation

darknet icon darknet

Fork of pjreddie/darknet to accomodate OPENMP=1 and no hardcoded paths

dinov2 icon dinov2

PyTorch code and models for the DINOv2 self-supervised learning method.

dorefa-net icon dorefa-net

Arbitrary Bit Weight/Activation Quantization of Using DoReFa

eth0-bot icon eth0-bot

Trading AI for the 2015 Jane Street eth0 simulated market competition

gpgpu-sim_distribution icon gpgpu-sim_distribution

GPGPU-Sim provides a detailed simulation model of a contemporary GPU running CUDA and/or OpenCL workloads and now includes an integrated (and validated) energy model, GPUWattch.

kaldi icon kaldi

This is now the official location of the Kaldi project.

kis-workshop-code-2015 icon kis-workshop-code-2015

Collection of Arduino/Python/C code snippets for a EECS crash course taught at Korea International School

mqsim icon mqsim

MQSim is a fast and accurate simulator modeling the performance of modern multi-queue (MQ) SSDs as well as traditional SATA based SSDs. MQSim faithfully models new high-bandwidth protocol implementations, steady-state SSD conditions, and the full end-to-end latency of requests in modern SSDs. It is described in detail in the FAST 2018 paper by Arash Tavakkol et al., "MQSim: A Framework for Enabling Realistic Studies of Modern Multi-Queue SSD Devices" (https://people.inf.ethz.ch/omutlu/pub/MQSim-SSD-simulation-framework_fast18.pdf)

nojunk icon nojunk

Chrome extension to remove ads/comments/hot network questions/autoreplay from StackOverflow & Youtube

particle-motion icon particle-motion

Processing application to model particles in a bi-directional, adjustable gravity fields with collision detection and motion dampening

pingball icon pingball

Multi-Client/Server networked game of pinball

plda icon plda

An LDA/PLDA estimator using KALDI in python for speaker verification tasks

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