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greedyhash

Source code for "Greedy Hash: Towards Fast Optimization for Accurate Hash Coding in CNN"

hbp-neuromorphic-client

Python client for the Human Brain Project Neuromorphic Computing Platform

hello-world

first repository

ihmehimmeli

keras-lmu

Keras implementation of Legendre Memory Units

keras-ncp

Code repository of the paper Neural circuit policies enabling auditable autonomy published in Nature Machine Intelligence

lab

A customisable 3D platform for agent-based AI research

liquid

Liquid is a simulator for liquid state machines (LSM). The emphasis is on developing intuitions about how these constructs work and visualizing the machine in operation.

lm-snn

Using spiking neurons and spike-timing-dependent plasticity to classify the MNIST handwritten digits.

lsm

Liquid State Machines in Python and NEST

ltts

This is the repository for code associated to the paper: "Target spiking patterns enable efficient and biologicallyplausible learning for complex temporal tasks" currently under review.

m-ada

The Pytorch implementation for "Learning to Learn Single Domain Generalization" (CVPR 2020)

mlops_videoanomalydetection

Operationalize a video anomaly detection model with Azure ML

mm-bp-snn

model_prediction

Another method for soh estimation

models

Models and examples built with TensorFlow

objectdetection-onestagedet

odin

ODIN online-learning digital spiking neural network (SNN) processor - HDL source code and documentation.

oger

Oger is a Reservoir Computing Toolbox for Reservoir Computing, this is an augmented version to support more options and sparse matrices for NLP tasks

panda

PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation (CVPR 2021)

pcn-with-local-recurrent-processing

Code for "Deep predictive coding network with local recurrent processing for object recognition"

prednet

Code and models accompanying "Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning"

projectq

ProjectQ: An open source software framework for quantum computing

proxprop

Proximal Backpropagation - a neural network training algorithm that takes implicit instead of explicit gradient steps

pub-illing2021-neurips

Public code for Illing, Ventura, Bellec & Gerstner 2021: Local plasticity rules can learn deep representations using self-supervised contrastive predictions

pub2018superspike

Code from our paper: SuperSpike: Supervised learning in multi-layer spiking neural networks.

pynn

A Python package for simulator-independent specification of neuronal network models.

querybot5000

Query-based Workload Forecasting for Self-Driving DBMS

reservoir

Code for Reservoir computing (Echo state network)

rl-snn

Reinforcement Learning in Spiking Neural Networks