psycho-s

psycho-s's Stars

• nipunmanral/MLP-Training-For-MNIST-Classification

  Multilayer perceptron deep neural network with feedforward and back-propagation for MNIST image classification using NumPy

  Language:Python298

• tomershay100/MLP-MNIST-fashion-with-PyTorch

  MLP implementation in Python with PyTorch for the MNIST-fashion dataset (90+ on test)

  Language:Python104

• hjq310/NeuroPack

  NeuroPack, a tool for emulating memristor-based neuromorphic architectures

  Language:Python235

• thnguyen996/fault-injection

  Implementation of "Low-Cost and Effective Fault-Tolerance Enhancement Techniques for Emerging Memories-Based Deep Neural Networks." 2021 58th ACM/IEEE Design Automation Conference (DAC).

  Language:Python6

• ignaciopineyro/memristor_simulation

  Language:Python3

• shigure-no-wokka/ML-SLP-for-Memristor

  Trying to build my own version.

  Language:Python8

• bcrafton/memristor_convolution

  Language:Python3

• DuttaAbhigyan/Memristor-Simulation-Using-Python

  In this repository I have simulated Memristors using Python3 and also created GUI for easy use by researchers to visualise the functioning of a Memristor.

  Language:Python197

• nfrik/Memristors

  Discovering properties of memristive networks

  Language:Python43

• louisprimeau/torch_memristor

  Modelling memristors in PyTorch.

  Language:Python1

• ricohasgithub/MemTorchCNN

  Practice code with the MemTorch framework for simulating memristor crossbars

  Language:Python21

• LuukvanKeeken/Improving-the-learning-performance-of-a-memristor-neural-network-using-optimisation-techniques

  Language:Python3

• victorjo97/MNIST_memristor

  Python code implementing the algorithms of my MSc Dissertation on "Modified training for increased robustness in memristor-based neural networks".

  Language:Python131

• joksas/nonideality-aware-mnn-training

  Code used in the paper “Nonideality-Aware Training for Accurate and Robust Low-Power Memristive Neural Networks”

  Language:Python105

• joksas/badcrossbar

  A Python tool for computing and plotting currents and voltages in passive crossbar arrays.

  Language:Python259

• thu-nics/MNSIM-2.0

  A Behavior-Level Modeling Tool for Memristor-based Neuromorphic Computing Systems

  Language:Python14838

• hjq310/text-classification-in-memristorsnn

  This Pytorch-based framework demonstrates a sentiment analysis task in the IMDB movie reviews dataset using an SNN with a statistic memristor model

  Language:Python191

• amirrezarajabi/Tensorflow-Forward-Forward

  Implementation of Hinton's forward-forward (FF) algorithm in tensorflow - an alternative to back-propagation

  Language:Jupyter Notebook337

• cozheyuanzhangde/Forward-Forward

  Hinton's Forward-Forward algorithm for deep learning

  Language:Python91

• lab-emi/FF-Algorithms

  Hinton's Forward-Forward Algorithm Implementation PyTorch

  Language:Python122

• ghadialhajj/FF_unsupervised

  An implementation of unsupervised example of the Forward-Forward algorithm proposed by (Hinton, 2022)

  Language:Python83

• loeweX/Forward-Forward

  Reimplementation of Geoffrey Hinton's Forward-Forward Algorithm

  Language:Python13229

• mpezeshki/pytorch_forward_forward

  Implementation of Hinton's forward-forward (FF) algorithm - an alternative to back-propagation

  Language:Python1.4k139

• rmwkwok/forward_forward_algorithm

  Implementation of Geoffrey Hinton's forward forward algorithm in tensorflow

  Language:Jupyter Notebook335

• paulm12/forwardforward_python

  Python translation of Hinton's "ForwardForward" algorithm

  Language:Jupyter Notebook2

• JacksonWuxs/Forward-Forward-Network

  Implementation of Forward Forward Network proposed by Hinton in NIPS 2022.

  Language:Python16320

• neurosim/DNN_NeuroSim_V2.1

  Benchmark framework of compute-in-memory based accelerators for deep neural network (on-chip training chip focused)

  Language:C++12154

• cyclotomicextension/Contrastive-Learning-via-FFA

  I tried implementing a simple unsupervised example of Forward-Forward algorithm mentioned in the paper by Geoffrey Hinton.

  Language:Jupyter Notebook5