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Akira Tamamori tam17aki

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tam17aki / hopnet_1d_capacity.c
Last active February 16, 2025 08:36
A demonstration for Hopfield Network to learn a sequence of bit patterns.
/* *****************************************************************************
An evaluation of capacity for Hopfield Network to learn a sequence of random bit
patterns.
Copyright (C) 2025 by Akira TAMAMORI
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
@tam17aki
tam17aki / hopnet_1d.c
Last active February 15, 2025 08:11
A demonstration code for Hopfield Network to learn a sequence of bit patterns.
/* *****************************************************************************
A demonstration for Hopfield Network to learn a sequence of bit patterns.
Copyright (C) 2025 by Akira TAMAMORI
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
@tam17aki
tam17aki / hopnet_1d.py
Last active February 15, 2025 08:44
A demonstration script for a Hopfield network that associatively memorizes bit pattern sequences.
# -*- coding: utf-8 -*-
"""A demonstration script for Hopfield Network to learn a sequence of bit patterns.
Copyright (C) 2025 by Akira TAMAMORI
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
@tam17aki
tam17aki / train_rbm_pl.py
Last active February 6, 2025 09:31
# -*- coding: utf-8 -*-
"""A demonstration script for Restricted Boltzmann Machine on MNIST dataset.
Copyright (C) 2025 by Akira TAMAMORI
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
@tam17aki
tam17aki / train_rbm2.py
Last active February 6, 2025 09:31
# -*- coding: utf-8 -*-
"""A demonstration script for Restricted Boltzmann Machine on MNIST dataset.
Copyright (C) 2025 by Akira TAMAMORI
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
@tam17aki
tam17aki / train_rbm.py
Last active February 6, 2025 09:30
# -*- coding: utf-8 -*-
"""A demonstration script for Restricted Boltzmann Machine on MNIST dataset.
Copyright (C) 2025 by Akira TAMAMORI
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
@tam17aki
tam17aki / visualization_pacmap.py
Last active January 25, 2025 17:20
# -*- coding: utf-8 -*-
"""An visualization script for Variational Autoencoder on MNIST dataset via PaCMAP.
Copyright (C) 2025 by Akira TAMAMORI
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
@tam17aki
tam17aki / experiment_vae.py
Last active January 25, 2025 12:56
# -*- coding: utf-8 -*-
"""An evaluation script for Variational Autoencoder on MNIST dataset.
Copyright (C) 2025 by Akira TAMAMORI
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
@tam17aki
tam17aki / train_vae.py
Created January 25, 2025 07:45
# -*- coding: utf-8 -*-
"""A training script for Variational Autoencoder on MNIST dataset.
Copyright (C) 2025 by Akira TAMAMORI
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
@tam17aki
tam17aki / admm_gla.py
Last active January 20, 2025 07:00
An implementation of "Griffin-Lim Like Phase Recovery via Alternating Direction Method of Multipliers" in Python.
# -*- coding: utf-8 -*-
"""Demonstration script for Griffin-Lim like phase recovery via ADMM.
Copyright (C) 2025 by Akira TAMAMORI
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is