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Madhu Vankadari's Projects

allday-demon icon allday-demon

This is an official code repository for the paper, "When the sun goes down: repairing photometric losses for all-day depth estimation".

atloc icon atloc

AtLoc: Attention Guided Camera Localization

awesome-visual-slam icon awesome-visual-slam

:books: The list of vision-based SLAM / Visual Odometry open source, blogs, and papers

bluefox2 icon bluefox2

ROS driver for the Matrix Vision mvBlueFOX cameras

camera_base icon camera_base

Some base classes for simplifing ROS camera driver node.

capsnet-keras icon capsnet-keras

A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error = 0.34%.

capsnet-tensorflow icon capsnet-tensorflow

A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules

cheatsheets icon cheatsheets

All the cheat sheets you need as a novice machine learning engineer

deep-rl icon deep-rl

Collection of Deep Reinforcement Learning algorithms

gan-mnist icon gan-mnist

Generative Adversarial Network for MNIST with tensorflow

graph_nn icon graph_nn

Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)

hector_quadrotor icon hector_quadrotor

hector_quadrotor contains packages related to modeling, control and simulation of quadrotor UAV systems.

ip_basic icon ip_basic

Image Processing for Basic Depth Completion

kalman icon kalman

Some Python Implementations of the Kalman Filter

kalman-and-bayesian-filters-in-python icon kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

maml icon maml

Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

mavros icon mavros

MAVLink to ROS gateway with UDP proxy for Ground Control Station

monodepth icon monodepth

Unsupervised single image depth prediction with CNNs

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