Inhalt des Dokuments
neurolib [1]
neurolib is a computational framework for
whole-brain modeling written in Python.
mehr zu: neurolib
[2]
Sleepy [3]
A python tool for slow wave detection and
labelling
mehr zu: Sleepy
[4]
Berlin-APC [5]
A Privacy-Friendly Dataset for Automated
Passenger Counting in Public Transport
mehr zu: Berlin-APC
[6]
Hybrid Blind Beamforming for Spike Detection (HBBSD) [7]
Hybrid Blind Beamforming is an algorithm for spike detection
mehr zu: Hybrid Blind
Beamforming for Spike Detection (HBBSD) [8]
Approximate Simultaneous Matrix Diagonalization (QDIAG) [9]
QDIAG is an algorithm for simultaneous matrix diagonalization
mehr zu: Approximate
Simultaneous Matrix Diagonalization (QDIAG) [10]
Potential - Support Vector Machine [11]
P-SVM is a
software for support vector classification, regression and feature
extraction
mehr zu: Potential - Support
Vector Machine [12]
Hyper-Ellipsoidal Conjugate Gradient Descent [13]
Hyper-Ellipsoidal Conjugate Gradient Descent is an algorithm, that
can be used for sparse optimization of second order kernel method
mehr zu: Hyper-Ellipsoidal
Conjugate Gradient Descent [14]
Monte Carlo Maximum Entropy Test [15]
Monte Carlo
Maximum Entropy Test
mehr zu: Monte Carlo Maximum
Entropy Test [16]
Detecting Connected Components and Communities in Hypergraphs
[17]
Detecting Connected Components and Communities in
Hypergraphs
mehr zu: Detecting Connected
Components and Communities in Hypergraphs [18]
BOiS - Berlin Object in Scene Database [19]
Controlled
photographic images for visual search experiments with quantified
contextual priors
mehr zu: BOiS - Berlin Object
in Scene Database [20]
------
Links: ------
[1]
https://www.ni.tu-berlin.de/menue/software_und_date
n/neurolib/parameter/de/font2/minhilfe/
[2]
https://www.ni.tu-berlin.de/menue/software_und_date
n/neurolib/parameter/de/font2/minhilfe/
[3]
https://www.ni.tu-berlin.de/menue/software_und_date
n/sleepy/parameter/de/font2/minhilfe/
[4]
https://www.ni.tu-berlin.de/menue/software_und_date
n/sleepy/parameter/de/font2/minhilfe/
[5]
https://www.ni.tu-berlin.de/menue/software_und_date
n/berlin_apc/parameter/de/font2/minhilfe/
[6]
https://www.ni.tu-berlin.de/menue/software_und_date
n/berlin_apc/parameter/de/font2/minhilfe/
[7]
https://www.ni.tu-berlin.de/menue/software_und_date
n/hybrid_blind_beamforming_for_spike_detection_hbbsd/pa
rameter/de/font2/minhilfe/
[8]
https://www.ni.tu-berlin.de/menue/software_und_date
n/hybrid_blind_beamforming_for_spike_detection_hbbsd/pa
rameter/de/font2/minhilfe/
[9]
https://www.ni.tu-berlin.de/menue/software_und_date
n/approximate_simultaneous_matrix_diagonalization_qdiag
/parameter/de/font2/minhilfe/
[10]
https://www.ni.tu-berlin.de/menue/software_und_dat
en/approximate_simultaneous_matrix_diagonalization_qdia
g/parameter/de/font2/minhilfe/
[11]
https://www.ni.tu-berlin.de/menue/software_und_dat
en/potential_support_vector_machine/parameter/de/font2/
minhilfe/
[12]
https://www.ni.tu-berlin.de/menue/software_und_dat
en/potential_support_vector_machine/parameter/de/font2/
minhilfe/
[13]
https://www.ni.tu-berlin.de/menue/software_und_dat
en/hyper_ellipsoidal_conjugate_gradient_descent/paramet
er/de/font2/minhilfe/
[14]
https://www.ni.tu-berlin.de/menue/software_und_dat
en/hyper_ellipsoidal_conjugate_gradient_descent/paramet
er/de/font2/minhilfe/
[15]
https://www.ni.tu-berlin.de/menue/software_und_dat
en/maximum_entropy/parameter/de/font2/minhilfe/
[16]
https://www.ni.tu-berlin.de/menue/software_und_dat
en/maximum_entropy/parameter/de/font2/minhilfe/
[17]
https://www.ni.tu-berlin.de/menue/software_und_dat
en/communities_in_hypergraphs/parameter/de/font2/minhil
fe/
[18]
https://www.ni.tu-berlin.de/menue/software_und_dat
en/communities_in_hypergraphs/parameter/de/font2/minhil
fe/
[19]
https://www.ni.tu-berlin.de/menue/software_und_dat
en/bois_berlin_object_in_scene_database/parameter/de/fo
nt2/minhilfe/
[20]
https://www.ni.tu-berlin.de/menue/software_und_dat
en/bois_berlin_object_in_scene_database/parameter/de/fo
nt2/minhilfe/
