mikeroyal / Neuromorphic-Computing-Guide
Learn about the Neumorphic engineering process of creating large-scale integration (VLSI) systems containing electronic analog circuits to mimic neuro-biological architectures.
☆363Updated 10 months ago
Related projects ⓘ
Alternatives and complementary repositories for Neuromorphic-Computing-Guide
- List of open source neuromorphic projects: SNN training frameworks, DVS handling routines and so on.☆182Updated 10 months ago
- Deep Learning library for Lava☆154Updated 2 weeks ago
- Neuromorphic mathematical optimization with Lava☆53Updated 2 weeks ago
- Repository collecting papers about neuromorphic hardware, such as ASIC and FPGA implementations of SNNs and stuff.☆144Updated last year
- A Software Framework for Neuromorphic Computing☆562Updated 3 weeks ago
- Dynamic Neural Fields with Lava☆44Updated last month
- Neuromorphic Intermediate Representation reference implementation☆81Updated this week
- Publicly available event datasets and transforms.☆211Updated 2 months ago
- Tutorial for surrogate gradient learning in spiking neural networks☆291Updated 3 months ago
- Benchmark harness and baseline results for the NeuroBench algorithm track.☆63Updated this week
- Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.☆363Updated last year
- High-speed simulator of convolutional spiking neural networks with at most one spike per neuron.☆382Updated 3 years ago
- This repository will host models, modules, algorithms and applications developed by the INRC Community to run on the Intel Loihi Platform…☆81Updated last year
- Cosyne workshop tutorial 2022☆107Updated 2 years ago
- A Loihi emulator based on Brian2☆24Updated 2 years ago
- ODIN online-learning digital spiking neural network (SNN) processor - HDL source code and documentation.☆162Updated 5 years ago
- PyTorch implementation of the eligibility propagation (e-prop) learning algorithm.☆49Updated 2 years ago
- CARLsim is an efficient, easy-to-use, GPU-accelerated software framework for simulating large-scale spiking neural network (SNN) models w…☆43Updated last month
- PyTorch implementation of SLAYER for training Spiking Neural Networks☆309Updated 3 months ago
- Notebooks illustrating the use of Norse, a library for deep-learning with spiking neural networks.☆26Updated 5 months ago
- A machine learning library for spiking neural networks. Supports training with both torch and jax pipelines, and deployment to neuromorph…☆53Updated last week
- Fully opensource spiking neural network accelerator☆130Updated last year
- Quantization-aware training with spiking neural networks☆36Updated 2 years ago
- jaxsnn is an event-based approach to machine-learning-inspired training and simulation of SNNs, including support for the BrainScaleS-2 n…☆15Updated last week
- GeNN is a GPU-enhanced Neuronal Network simulation environment based on code generation for Nvidia CUDA.☆233Updated last week
- CrossSim: accuracy simulation of analog in-memory computing☆127Updated last month
- FPGA Design of a Spiking Neural Network.☆33Updated 6 months ago
- A simple from scratch implementation of a Spiking-Neural-Network with STDP in Python which is beeing trained on MNIST.☆28Updated 2 months ago
- Notebooks and code for Neuromorphic Hardware Workshop at ISFPGA 2024.☆35Updated 8 months ago
- Interactive Matplotlib Plots in Python, convering Models such as the Leaky Integrate and Fire, Izhikevich Model, FitzHugh-Nagumo Model et…☆66Updated 5 years ago