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awesome-deep-vision

A curated list of deep learning resources for computer vision

cholesky_eigen

Solution of linear system QX = B using the Cholesky decomposition of matrix Q. Eigen library is used for the computations.

deep-residual-networks

Deep Residual Learning for Image Recognition

defensegan

Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models (published in ICLR2018)

driver-arm-detection-in-3d-images

The code of the neural networks used for detecting the driver's arms in Microsoft Kinect depth images obtained from the Driver's Motion Depth DataBase (DMDDB).

fastfcn

FastFCN: Rethinking Dilated Convolution in the Backbone for Semantic Segmentation.

icml04-inverse-reinforcement-learning

Implementation of the 2004 ICML paper "Apprenticeship Learning via Inverse Reinforcement Learning"

inerital-navigation-system

Attitude reference system using IMU + GPS

kannada-mnist

libsvm

LIBSVM -- A Library for Support Vector Machines (unofficial snapshot dist mirror)

machine-learning---andrew-ng

My solutions to Machine Learning course on Coursera by Andrew Ng

master_thesis

Latex template for writing a thesis

min_eigenvalue

Compute the minimum eigenvalue and corresponding eigenvector of sparse symmetric matrix

ml-challenge

The Novoic ML challenge

mlpack

mlpack: a scalable C++ machine learning library

mrpt

The Mobile Robot Programming Toolkit (MRPT)

mrpt_navigation

ROS nodes wrapping MRPT functionality: localization, rawlogs, etc.

navigation

ROS Navigation stack. Code for finding where the robot is and how it can get somewhere else.

obfuscated-gradients

Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples

opencog

A framework for integrated Artificial Intelligence & Artificial General Intelligence (AGI)

opencv

Open Source Computer Vision Library

pcl

Point Cloud Library (PCL)

pytorch-cyclegan-and-pix2pix

Image-to-image translation in PyTorch (e.g., horse2zebra, edges2cats, and more)

pytorch-encoding

A CV Toolkit

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

rlstructures

RLStructures is a library to facilitate the implementation of new reinforcement learning algorithms. It includes a library, a tutorial, and different RL algorithms provided as examples.

robust-recursive-kalman-filter

Givens rotation based method to compute robust Kalman filter

roptlib

SE-Sync Optimization Example with ROPTLIB

spade

Semantic Image Synthesis with SPADE

sparktorch

Train and run Pytorch models on Apache Spark.