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
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
PyTorch-based framework for trainable SNNs, spike encoding, surrogate gradients, and neuromorphic datasets.
Software
Equation-based Python simulator for spiking neurons, synapses, and dynamical systems.
Software
Neural-modelling ecosystem for dynamical systems, cognitive models, and neuromorphic back ends.
Software
Open framework for neuro-inspired algorithms and neuromorphic applications.
Software
PyTorch-compatible loaders and transforms for event-based vision and audio datasets.
Hardware & Architecture References
FPGA
FPGA design, implementation, timing, and verification documentation.
Architecture
Open ISA specifications and reference material for RISC-V systems and extensions.
Security
Open-source hardware root-of-trust platform and security documentation.
Physical AI
Middleware and integration framework for robotics and Physical AI systems.
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
Stereo event-camera driving dataset for optical flow, disparity, and autonomous-systems research.
Event Vision
Event-camera software, examples, datasets, and tutorials.
Dataset
Access to N-MNIST, DVS Gesture, CIFAR10-DVS, event-based audio, and other benchmarks.