Objects			page : 1 2 3 4 5 6 7 8 9 10 11 12
ej.urn	Javaclass (mxj)		Like urn for larger random range
entre2	Abstraction		is a between random generator
f0.rand	Abstraction		floating-point random
f0.rand2	Abstraction		floating point random bilinear
f0.seed	Abstraction		custom seed for random objects
filePlayerBP	Module		a module that plays a collection of sound files in random order
fling	External		if input value goes beyond range, new random value (from inside limits) + proceedes in new random direction. if input value goes beyond range, new random value (from inside limits) + proceedes in new random direction. values outside range mapped to random translation. basically: values become unpredictable once outside range.
fluctuate	External		A variation of the random object. fluctuate takes a focus point, a minimum offset from the focus, and a maximum offset from the focus. The result is the range that fluctuate will use to generate random values. The calculated extremes are inclusive. Changing the focus simultaneously changes the upper and lower limits of the randomly generated numbers. If min and max are both positive or both negative, the output will not include the focus.
gak	External		genetic algorithm kit the genetic algorithm toolkit is meant to be a quick way to incorporate genetic algorithms into max projects. you can either create the child's genetic material yourself (manually or randomly), or pass two parent sequences (in the form of a max list) to the gak object. you can then select how you'd like to manipulate this genetic material from a variety of processes (crossover, reverse, shift, transposition & increment/decrement) yourself, or allow the gak to make the decisions for you. note that if you don't pass new parent sequences (or randomly/manually generate a child sequence) the next time around, the new parents will both be clones of the child. also note that gak only creates one child, but you can hook up a bunch of them if you really want a gaggle of children. then it's up to you to select which one you like best for the next generation. many thanks to anthony palomba for the windows port.
gaussian	Javaclass (mxj)		pseudo-random floating-point numbers with a gaussian distribution pseudo-random floating-point numbers with a gaussian distribution
gen20	External		random function / table generator
GLEETCHLAB 3	Standalone Application		A realtime modular composition and processing software for sound design and experimental music like glitch, IDM, electroacustic, ambient... Gleetchlab 3 is a modular software designed to process audio files and live sound sources in realtime. Unlike many music softwares, gleetchlab does not use a "timeline", instead you can process and record sound as it plays and quckly store every parameter into ten easy-to-recall temporary presets. You can manipulate samples with random loop points, alterate speed and direction of playing without limits, pencil-edit waveforms and use the internal DSPs such as convolution, feedback generator, granular re-synthesis, waveshaping distortion, spectral filtering, wow simulation, dynamic reverberation and your own VST plugins. Also you can record and re-record endlessly each processed sound into the 6 stereo loopers or manipulate sources coming from your soundcard and last but not least, use a quadriphonic suround mixer/recorder. Price 10.69€ Changes in V3 - Complete software redesign - MIDI Implementation - New DSPs - Quadriphonic mixing and recording - Parameters recall
Glove Random Demo	Patch		generate random notes with Mattel Power Gloveª
grainbuffer~	External		grainbuffer~ is a MSP granular synthesis object that exploits the buffer~ object built into the Max/MSP environment. grainbuffer~ is a flexible tool that allows independent control over the buffer and the grain creation. For example, users can set the rate at which the grains read from the buffer independent of their dispersion or duration. Also, loop points in the buffer can be set, allowing the user to decide which portion of the buffer will be granulated. In addition, the buffer read point can be randomized. This randomization produces various effects ranging from a 'blurring' effect to that of total randomness of grain sources. The lastest version of grainbuffer~ is 64-bit and now features multichannel output with up to 32 channels of spatialized grains. All parameters can be randomized. Randomizable features include the frequency, amplitude, pan position, duration and dispersion (distance between grain start times). The randomness of each of these parameters is set by a range indicating an upper and a lower limit. If the limits are set the same then the grainbuffer~ will only generate single value for that parameter. Finally, the user can select the type of envelope. Envelope types include, sine, linear, exponential, trapezoid, parabolic, percussive, evissucrep (backwards percussive), and, of course, random, which chooses a new grain envelope randomly for each individual grain.
gran.cloud.file~	Abstraction		variable density of individual grains with random offset, pitch, gain and panning This abstraction creates a variable density of individual grains with random offset, pitch, gain and panning based on the parameters. It uses a sound file as its sampling source.
page : 1 2 3 4 5 6 7 8 9 10 11 12

Libraries
ag.graular.suite	debug: SELECT prenom, nom FROM auteurs RIGHT JOIN auteur_libraries USING (id_auteur) WHERE auteur_libraries.id_library='166'Adrian Gierakowski	The ag.granular.suite is a collection of Max/MSP patches for generalised granular sound processing and microsound composition written using FTM/Gabor libraries (developed at IRCAM) and encapsulated as Jamoma modules. Main features include: subsample accurate scheduling, multichannel output, granulation of multiple soundfiles at the same time (with interpolation of two sources per grain), parameter randomisation and sequencing, control via OSC, preset management, preset interpolation. Its modular architecture makes it possible to easily extend it with new algorithms for grain scheduling and parameter control.
KN-Lib 2.7	debug: SELECT prenom, nom FROM auteurs RIGHT JOIN auteur_libraries USING (id_auteur) WHERE auteur_libraries.id_library='109'Roland Cahen	KN-Lib is a collection of everyday abstraction tools. It contains mouse and keyboards facilities, converters, calculation, random, interval and scale generators, midi utilities...etc (The old version is no longer available. If necessary it can be downloades at : ftp://ftp.forumnet.ircam.fr/pub/max/FAT/misc)
KnLib2.8.1	debug: SELECT prenom, nom FROM auteurs RIGHT JOIN auteur_libraries USING (id_auteur) WHERE auteur_libraries.id_library='138'Roland Cahen	KN-Lib 2.8 is a collection of everyday abstraction tools. It contains mouse and keyboards facilities, converters, calculation, random, interval and scale generators, midi utilities...etc Most of them are finished, a few are in progress.
Litter Power Pro Package	debug: SELECT prenom, nom FROM auteurs RIGHT JOIN auteur_libraries USING (id_auteur) WHERE auteur_libraries.id_library='54'Peter Castine	The Litter Power package consists of over 60 external objects, including a number of new MSP noise sources, externals that produce values from a wide variety of random number distributions, and externals for mutation and cross-synthesis.
Litter Power Starter Package	debug: SELECT prenom, nom FROM auteurs RIGHT JOIN auteur_libraries USING (id_auteur) WHERE auteur_libraries.id_library='53'Peter Castine	The Litter Power Starter Pack consists of about two dozen external objects, including a number of new MSP noise sources, a wide variety of random number distributions, time-domain mutation, and several very useful utilities.
MaxAlea	debug: SELECT prenom, nom FROM auteurs RIGHT JOIN auteur_libraries USING (id_auteur) WHERE auteur_libraries.id_library='96'Carl Faia	MaxAlea contains various objects for random distributions and functions. MaxAlea was begun as a Max port of an existing PatchWork Library created in 1991-2 by Mikhail Malt. While the distributions and functions found in MaxAlea are similar to those found in the Patchwork version ,there are many differences in their functioning. The environment of Patchwork is static and is not designed for real-time work. Part of the incentive for creating these objects to work with Max was to have a dynamic and real-time environment with which to experiment and work with these algorithms in a manner as simple and straightforward as possible. One can change variables and manipulate the output in many ways in real-time. There are several different versions of the various stochastic models/processes best presented in the now classic references by Denis Lorrain and Charles Dodge. Carl Faia has used a variety of sources for the creation of this library which include the Lorrain, Dodge and Malt implementations as well as sources found on the WorldWideWeb. The externals found in the package include several random distributions, examples of random walks and 1/f noise algorithms, as well as one or two utilities written specifically for the MaxAlea library. Carl Faia wanted to make a coherent collection (as he thought Malt had managed to do in PatchWork) of these various algorithms and provide an interface easily accessible using the Max environment for real-time control. All these algorithms have been created using a seeded version of the random function found in the standard AINSI library. That is, each time the function is first run there will always be a different set of random numbers (unlike the random funtions found in Max, PatchWork and other versions of random number generators).
Random Objects	debug: SELECT prenom, nom FROM auteurs RIGHT JOIN auteur_libraries USING (id_auteur) WHERE auteur_libraries.id_library='78'Gary Lee Nelson	These are the collections of seedable random number generators that I wrote sometime in the early 1990's. These classic, OSX and Windows ports are thanks to Jeremy Bernste
vRand abstractions	debug: SELECT prenom, nom FROM auteurs RIGHT JOIN auteur_libraries USING (id_auteur) WHERE auteur_libraries.id_library='77'Gary Lee Nelson	These new objects assume that you have downloaded and installed one of the the externals from the Random Objects library. There are OS9, OSX and PC versions. (Thanks again to Jeremy Bernstein.) I have not tested these new abstractions in OS 9 or Windows and would appreciate hearing from anyone you can verify that they work.