SHaRe Lab
Resources
A curated entry point to SHaRE-generated research outputs and the tools, datasets, and references most relevant to our work.
SHaRe Open Research
Datasets, code, tools, and reusable artifacts produced by SHaRe research projects.
Dataset
HFlow320
Event-Based Human Motion Optical Flow Dataset developed as part of the lab’s event-based vision and optical-flow research.
Software
symnoise
Open-source Python implementation of Symbolic Noise Analysis for analytical treatment of noise and finite-precision effects in datapaths.
Neuromorphic & SNN Tools
Software
snnTorch
PyTorch-based framework for trainable SNNs, spike encoding, surrogate gradients, and neuromorphic datasets.
Software
Brian 2
Equation-based Python simulator for spiking neurons, synapses, and dynamical systems.
Software
Nengo
Neural-modelling ecosystem for dynamical systems, cognitive models, and neuromorphic back ends.
Hardware & Architecture References
Architecture
RISC-V Specifications
Open ISA specifications and reference material for RISC-V systems and extensions.
Memristors & Emerging Devices
Resources related to memristive devices, synaptic circuits, in-memory computing, and emerging-device implementations relevant to SHaRe research.
SHaRe Research
Memristive Associative Learning
Memristor-based circuits for biologically inspired associative learning and synaptic behaviour.
SHaRe Research
Compact Memristor Models
Hardware-oriented compact models for circuit simulation, device-aware architecture exploration, and neuromorphic implementations.
Fundamentals
Memristive Devices & In-Memory Computing
Device characteristics, crossbar computing, non-idealities, synaptic functions, and memory-centric architectures for AI and neuromorphic systems.
Event-Based Sensing & Datasets
Dataset
DSEC
Stereo event-camera driving dataset for optical flow, disparity, and autonomous-systems research.
Dataset
Tonic Dataset Collection
Access to N-MNIST, DVS Gesture, CIFAR10-DVS, event-based audio, and other benchmarks.