open-neuromorphic / open-neuromorphic
List of open source neuromorphic projects: SNN training frameworks, DVS handling routines and so on.
☆214Updated 3 months ago
Alternatives and similar repositories for open-neuromorphic:
Users that are interested in open-neuromorphic are comparing it to the libraries listed below
- Neuromorphic Intermediate Representation reference implementation☆97Updated last week
- Deep Learning library for Lava☆157Updated last week
- Event datasets and transforms.☆235Updated last month
- Repository collecting papers about neuromorphic hardware, such as ASIC and FPGA implementations of SNNs and stuff.☆160Updated last year
- PyTorch implementation of the eligibility propagation (e-prop) learning algorithm.☆51Updated 3 years ago
- Tutorial for surrogate gradient learning in spiking neural networks☆309Updated 8 months ago
- Benchmark harness and baseline results for the NeuroBench algorithm track.☆75Updated this week
- A deep learning library for spiking neural networks which is based on PyTorch, focuses on fast training and supports inference on neuromo…☆88Updated 2 weeks ago
- Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.☆374Updated 2 years ago
- Notebooks illustrating the use of Norse, a library for deep-learning with spiking neural networks.☆29Updated 9 months ago
- A machine learning library for spiking neural networks. Supports training with both torch and jax pipelines, and deployment to neuromorph…☆63Updated 2 months ago
- Long short-term memory Spiking Neural Networks☆102Updated 5 years ago
- A simple from scratch implementation of a Spiking-Neural-Network with STDP in Python which is beeing trained on MNIST.☆37Updated 7 months ago
- Neuromorphic paper list, automatically updating everyday at 8:00 am GMT.☆39Updated this week
- Dynamic Neural Fields with Lava☆45Updated last week
- This repository will host models, modules, algorithms and applications developed by the INRC Community to run on the Intel Loihi Platform…☆83Updated last year
- FeedForward Propagation Through Time on Spiking Neural Network (SNNs)☆50Updated 2 years ago
- PyTorch implementation of SLAYER for training Spiking Neural Networks☆314Updated 7 months ago
- ☆89Updated last year
- Quantization-aware training with spiking neural networks☆40Updated 3 years ago
- A Python package for decoding RAW and DAT files (Prophesee) to structured NumPy arrays of events.☆38Updated 9 months ago
- Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration☆224Updated 8 months ago
- Efficient streaming of sparse event data supporting files, network I/O, GPU peripherals (via Torch/Jax/Numpy) and neuromorphic protocols☆77Updated 6 months ago
- Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT☆79Updated 2 years ago
- Cosyne workshop tutorial 2022☆115Updated 2 years ago
- ReckOn: A Spiking RNN Processor Enabling On-Chip Learning over Second-Long Timescales - HDL source code and documentation.☆82Updated 3 years ago
- A Loihi emulator based on Brian2☆28Updated 3 years ago
- Neuromorphic mathematical optimization with Lava☆55Updated last week
- Spatio-temporal BP for SNNs☆223Updated 2 years ago
- CARLsim is an efficient, easy-to-use, GPU-accelerated software framework for simulating large-scale spiking neural network (SNN) models w…☆46Updated this week