PyTorch Implementation of “Unsupervised learning by competing hidden units” MNIST classifier
☆13May 6, 2019Updated 7 years ago
Alternatives and similar repositories for unsupervised_bio_classifier
Users that are interested in unsupervised_bio_classifier are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Github page for SSDFA☆12Jan 28, 2020Updated 6 years ago
- Convolutional deep neural network with biology-inspired learning rule (Hebbian and reward-based learning)☆52Sep 25, 2017Updated 8 years ago
- This is a project for the proposed Homeostasis-based ANN-to-SNN conversion for Inception and Residual architecture.☆11Nov 7, 2018Updated 7 years ago
- Datasets recorded from Neuromorphic Sensors or Conversions using Simulations of Sensors☆32Apr 22, 2024Updated 2 years ago
- To identify features by aggregate-label learning in spiking neurons☆14Feb 19, 2018Updated 8 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Code for training binary and WTA SNNs☆17Mar 25, 2022Updated 4 years ago
- My homework solutions for UC Berkeley CS294: deep unsupervised learning☆14Mar 24, 2023Updated 3 years ago
- Iterative Closest Point Algorithm in Python and Mathematica☆10May 12, 2023Updated 3 years ago
- Pytorch implementation of Hebbian learning algorithms to train deep convolutional neural networks.☆32Aug 30, 2021Updated 5 years ago
- A lightweight and flexible framework for Hebbian learning in PyTorch.☆98Feb 29, 2024Updated 2 years ago
- A Python implementation of NN4G, a constructive neural network for graphs.☆13Sep 27, 2021Updated 4 years ago
- PyTorch implementation of Swap-VAE: A self-supervised approach for generating neural activity☆13Nov 17, 2021Updated 4 years ago
- Spiking neural networks are biologically plausible CNNs which learn through a temporally dependent learning method known as Spike Time De…☆10Aug 2, 2017Updated 9 years ago
- PyTorch implementation of linear and convolutional layers with fixed, random feedback weights.☆15Mar 14, 2021Updated 5 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- time-varying connectivity benchmarker (simulation tool for neuroimaging/fmri)☆12Jan 5, 2019Updated 7 years ago
- Learning-Recurrent-Binary-Ternary-Weights☆13Dec 4, 2018Updated 7 years ago
- Polished code for "Can a single neuron solve MNIST? The computational power of biological dendritic trees”☆49Sep 5, 2020Updated 6 years ago
- Proximal Policy Optimization with Stein Control Variates:☆34Feb 12, 2018Updated 8 years ago
- An algorithm for computing the Fourier shell correlation from a single measurement☆15Nov 11, 2023Updated 2 years ago
- Official implementation of the paper "Increasing the adversarial robustness and explainability of capsule networks with γ-capsules"☆11Mar 24, 2023Updated 3 years ago
- Lateral Inhibition-Inspired Convolutional Neural Network for Visual Attention and Saliency Detection☆13Nov 6, 2020Updated 5 years ago
- Sawyer environments for reinforcement learning using the OpenAI Gym interface (EXPERIMENTAL)☆37Dec 11, 2019Updated 6 years ago
- EM-GAN is a computational tool, which enables capturing protein structure information from cryo-EM maps more effectively than raw maps. I…☆18Mar 4, 2025Updated last year
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- This is a self-contained memory module for the Dynamic Kanerva Machine, as reported in the NIPS 2018 paper: Learning Attractor Dynamics f…☆44Jan 24, 2019Updated 7 years ago
- A spiking graph neural network for event-based learning☆49Nov 30, 2020Updated 5 years ago
- Optimized MDNet for fast object tracking☆10Apr 10, 2019Updated 7 years ago
- Fully Decoupled Neural Network Learning Using Delayed Gradients (FDG)☆21Jul 5, 2021Updated 5 years ago
- Toolkit for converting visual recognition benchmarks to spiking neuromorphic datasets.☆14Nov 17, 2016Updated 9 years ago
- Implementation of tools to control and monitor layer rotation in different DL libraries☆40Aug 2, 2019Updated 7 years ago
- ☆71Sep 21, 2021Updated 5 years ago
- Python package for analyzing behavioral data for Brain Observatory: Visual Behavior☆26Jul 3, 2026Updated 2 months ago
- Towards Achieving Adversarial Robustness by Enforcing Feature Consistency Across Bit Planes☆23Jun 14, 2020Updated 6 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Software for using predictive coding algorithms to train PyTorch models.☆30Feb 13, 2024Updated 2 years ago
- Code for Neural Population Control☆21May 18, 2019Updated 7 years ago
- The implementation of 'Watch, Listen, Attend and Spell’ (WLAS) network that learns to transcribe videos of mouth motion to character on p…☆11Mar 23, 2018Updated 8 years ago
- Supervised learning in spiking neural networks for precise temporal encoding☆18May 9, 2019Updated 7 years ago
- Genetic Algorithm in Python, which could be used for Sampling, Feature Select, Model Select, etc in Machine Learning☆17Aug 19, 2019Updated 7 years ago
- Public code of DSAR-CF (Dynamic Saliency-Aware Regularization for Correlation Filter based Object Tracking, in TIP 2019).☆10Apr 5, 2020Updated 6 years ago
- Like Visipics, but faster☆23Jul 19, 2026Updated 2 months ago