micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape

Actively developed Hierarchical Temporal Memory (HTM) community fork (continuation) of NuPIC. Implementation for C++ and Python

Long short-term memory Spiking Neural Networks

This repository will host models, modules, algorithms and applications developed by the INRC Community to run on the Intel Loihi Platform.

Deep learning for spiking neural networks

Library with example code for the NeuroShield

Spiking-DDPG trains an SNN for energy-efficient mapless navigation on Intel's Loihi neuromorphic processor.

Low-level Python APIs for Accessing Neuromorphic Devices.

Structured clustering for memristive crossbar based neuromorphic architectures

Brilliantly Radical Artificially Intelligent Neural Machine

This repository contains my current doctoral research at the University of Manchester

A mixing of neuromorphic and quantum computing for the Comparative Machine Learning class

Bio-inspired neuromorphic cerebellum

An exploration of blind source audio separation using spiking neural networks. Latency, power. and intelligibility are primary objectives while bio-plausibility is left as a secondary objective to be addressed in the future.

Public tools, devices, and data for the characterization and development of neuromorphic computing hardware.

Event based aperture robust flow

ANN to SNN conversion on land cover and land use classification problem for increased energy efficiency.

Spiking sequence detection through synaptic strength customisation.

Machine learning library for fast and efficient Gaussian mixture models

A repository for the project of creating a simple neural network by the use of coupled Josephson junctions acting as neurons

A demo for robotic control loop with Intel's Loihi neuromorphic chip used in our papers