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Praveen Oak's Projects

chat-game icon chat-game

Simple multiplayer game built using sockets on node

downpour icon downpour

Implementation of the synchronous distributed machine learning algorithm downpour. The project takes a neural net inspired by inception net and then uses distributed pytorch and OPEN MPI packages to implement data parallelism across multiple GPU cores to achieve near perfect linear scalability.

img-classifier icon img-classifier

Implementation of a simpler version of inceptionNet. The project implements the neural net in a flexible fashion such that it can be invoked using a CPU only cluster or a GPU cluster.

iot-in-cloud icon iot-in-cloud

Image Recognition for IoT in the Cloud. Built a simple PoC to simulate a "smart" camera IOT device which streams images to the cloud where they are analysed.

linux icon linux

Mirror of Linus Torvald's Kernel Tree

max-pool-cuda icon max-pool-cuda

Implemented the max pool filter in CUDA using the in built library and using shared memory

nyc-taxi-fare-predict icon nyc-taxi-fare-predict

Learning to predict taxi fares in the online setting. Intention of the project was to compare the performance of online vs offline machine learning algorithms in terms of accuracy, efficiency and speed.

parallel-tsp icon parallel-tsp

A CUDA optimized parallel implementation of an approximation solution to the travelling salesman problem

pytorch icon pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

ray-tracing icon ray-tracing

Used ray tracing algorithms to create polyhedron, spherical surfaces. Implemented reflection, refraction, phong shading. Used matrices in CPU to scale, rotate and translate them in space.

studyprep icon studyprep

Collabrative project with some friends to practice solutions to popular interview questions.

webgl-parametric-surfaces icon webgl-parametric-surfaces

Used webgl(javascript) and glsl(C extension for GPU) to create parametric surfaces and control their movement using matrix transformations

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