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Soledad's Projects

icp icon icp

An ICP library with Matlab bindings

icp-opencv icon icp-opencv

A simple example of icp (Iterative Closest Point) with opencv and kdtree.

icpcuda icon icpcuda

Super fast implementation of ICP in CUDA for compute capable devices 2.0 or higher

igan icon igan

A deep learning software that easily generates images with a few brushstrokes (from UC Berkeley and Adobe CTL)

ihog icon ihog

A tool to visualize feature spaces commonly used in object detection.

ik icon ik

A inverse kinematics library

imbalanced-learn icon imbalanced-learn

Python module to perform under sampling and over sampling with various techniques.

imgaug icon imgaug

Image augmentation for machine learning experiments.

improved-gan icon improved-gan

code for the paper "Improved Techniques for Training GANs"

imutils icon imutils

A series of convenience functions to make basic image processing operations such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV and Python.

ios icon ios

learn how to develop IOS apps

ios-2048 icon ios-2048

iOS drop-in library presenting a 2048-style game

ios-cmake icon ios-cmake

A toolchain file and examples using cmake for iOS development (this is a fork of a similar project found on code.google.com)

ipython icon ipython

Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

jetson-inference icon jetson-inference

Guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and Jetson TX1/TX2.

js-objectdetect icon js-objectdetect

computer vision in your browser - javascript real-time object detection

kaldi icon kaldi

This is now the official location of the Kaldi project.

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 textbook using Ipython 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.

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