Neuromorphic Machine Intelligence Lab

Neuromorphic Machine Intelligence Lab's repositories

dcll

Language:Jupyter NotebookApache-2.041 5 7

torchneuromorphic

Datasets recorded from Neuromorphic Sensors or Conversions using Simulations of Sensors

Language:PythonGPL-3.029 4 1

psych268_bilm

Material for the Brain-inspired Machine Learning Class at UC Irvine, Department of Cognitive Sciences

Language:Python11 40

NSAT

Neural and Synaptic Array Transceiver

Language:PythonGPL-3.06 5 1

pyCAERdynapse

pyNCS API for caer and dynapse

Language:C++3 40

pyNCS

pyNCS is a python library that allows easy access to Neuromorphic Chips and Systems (NCS),

Language:PythonGPL-2.03 40

pytorch-meta

A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch

Language:PythonMIT1 10

Minimal C library to access, configure and get/send AER data from sensors or to/from neuromorphic processors. Supported devices are the Dynamic Vision Sensor (DVS), all the DAVIS cameras, and the Dynap-se neuromorphic processor.

Language:CBSD-2-Clause030

nmi-lab-revealjs-template

The HTML Presentation Framework - Neuromorphic Machine Intelligence Lab Template

Language:JavaScriptMIT010

nmi-lab-website

NMI lab website using Hugo engine with academic theme

Language:TeXMIT010

nmi-lab.github.io

Language:HTML020

PSYCH149-AICM19-

020

PSYCH239-NNML19

UCI PSYCH239: Neural Networks and Machine Learning Class Material

Language:JavaScriptMIT020

PSYCH239-NNML20

Language:JavaScriptMIT020

python-tutorial

Python tutorial series

Language:Jupyter Notebook020

pytorch-maml

An Implementation of Model-Agnostic Meta-Learning in PyTorch with Torchmeta

Language:PythonMIT010

reptile_doublenmnist

Language:PythonGPL-3.0020

TmpCode

Language:Python030

Neuromorphic Machine Intelligence Lab

nmi-lab