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acado

ACADO Toolkit is a software environment and algorithm collection for automatic control and dynamic optimization. It provides a general framework for using a great variety of algorithms for direct optimal control, including model predictive control, state and parameter estimation and robust optimization.

algorithms

Various algorithms used for the projects

ali-seq

android_app_manager

Common libraries and resources for ROS Android and ROSJava

autoware

Open-source software for urban autonomous driving

awesome-rl

Reinforcement learning resources curated

base_local_planner_3d

Wrapper around the ros-planning/navigation/base_local_planner that enable movement in the z- direction for UAVS

caffe

Caffe: a fast open framework for deep learning.

camel-a-framework-for-audio-analysis

CAMEL (Content-based Audio and Music Extraction Library) is an easy-to-use C++ framework developed for content-based audio and music analysis. The framework provides a set of tools for easy Segmentation, Feature Extraction, Domain Extraction, etc.

cardboard-unity

Google Cardboard

class-segmentation-of-image-and-object-localization

Class Segmentation and Object Localization using superpixel neighbourhoods and crf

cn24

Convolutional (Patch) Networks for Semantic Segmentation

common_tutorials

ROS common_tutorials stack migrated from https://code.ros.org/svn/ros-pkg/stacks/common_tutorials/branches/common_tutorials-0.1/

conv3d_clstm

Multimodal Gesture Recognition Using 3D Convolution and Convolutional LSTM

crf

Simple implementation of Conditional Random Fields (CRF) in Python

crf-1

my conditional random field toolkit

crf_detection

crfasrnn

This repository contains the source code for the semantic image segmentation method described in the ICCV 2015 paper: Conditional Random Fields as Recurrent Neural Networks. http://crfasrnn.torr.vision/

crfsuite

CRFsuite: a fast implementation of Conditional Random Fields (CRFs)

cuda

GPU-accelerated LIBSVM is a modification of the original LIBSVM that exploits the CUDA framework to significantly reduce processing time while producing identical results. The functionality and interface of LIBSVM remains the same. The modifications were done in the kernel computation, that is now performed using the GPU.

cudamat

Python module for performing basic dense linear algebra computations on the GPU using CUDA.

cxxnet

fast, concise, distributed deep learning framework

data

PCD files for tutorials, examples, or PCL-related applications

dcfnet

DCFNet: Discriminant Correlation Filters Network for Visual Tracking

deep-reinforcement-learning-papers

A list of recent papers regarding deep reinforcement learning

deeplab-large-fov

My Implementation of the deeplab_v1 (known as deeplab large fov)

deeplab-pytorch

Deeplab for semantic segmentation tasks

deeplearning

Deep Learning (Python, C, C++, Java, Scala, Go)

densecrf_multiclass_video_segmentation

Dense CRF for multiclass video labelling