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mit-deep-learning

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

ml-face-classification

An IPython notebook to try out different machine learning based approaches for face classification on different datasets

mvae

This repository contains the code to the paper "MVAE: Multimodal Variational Autoencoder for Fake News Detection"

networking-project

Communication networks project for file storage server and survey on Vehicular Social Networks.

open-source-programs

A list of open source programs.

os_shell

Made shell to work with Linux operating system

patchmatch

The main objective of this project is to present interactive image editing tools using a new randomized algorithm for quickly finding approximate nearest neighbor matches between image patches. This algorithm forms the basis for a variety of tools – that can be used together in the context of a high-level image editing application. ​

pnp-levenberg-marquadt

Motion estimation using Iterative PnP resection

point-cloud-ground-segmentation

Ground Segmentation Package in ROS.

polynote

A better notebook for Scala (and more)

sentinel-2-cog

Convert Sentinel-2 JPEG 2000 to COG with AWS Lambda

sfmlearner

An unsupervised learning framework for depth and ego-motion estimation from monocular videos

simulations-legendre

Simulations of Legendre equation

spacejam

Game implemented in Python using Pygame

stereo-algorithms

A library for different Stereo Algorithms written for Robotics Research Centre

stereoimage-based-3d-mapping

3D Environment Render from Stereo Images

structure-from-motion

Algorithms relating to Structure from Motion

summer-sessions-2019

techx

This repository contains all resources corresponding to the various TechX sessions at IIIT Hyderabad

transformations-and-camera-modelling

Lidar-Camera fusion, bounding boxes and April Tags

two_view_reconstruction

Code for two view reconstruction of a scene using RANSAC

visual-odometry

Code for feature based visual odometry

yolo_object_detection

This is the code for "YOLO Object Detection" by Siraj Raval on Youtube