Brainchip-Inc / akida_examplesLinks
Brainchip Akida Neuromorphic System-on-Chip examples and documentation.
☆29Updated last month
Alternatives and similar repositories for akida_examples
Users that are interested in akida_examples are comparing it to the libraries listed below
Sorting:
- Collection of Spiking Neural Network applications for SNN Toolbox.☆34Updated 5 years ago
- CS4362 - Hardware Description Languages. Implemented SNN on an FPGA for real-time image processing using VHDL☆23Updated 2 years ago
- Integrating Event-based Dynamic Vision Sensors with Sparse Hyperdimensional Computing☆12Updated 5 years ago
- Notebooks for Hardware-Aware Training of Spiking Neural Networks. Open-Source Neuromorphic Circuit Design Tutorial at ESSCIRC 2023.☆24Updated 2 years ago
- Fully opensource spiking neural network accelerator☆166Updated 2 years ago
- Floating-Point Optimized On-Device Learning Library for the PULP Platform.☆40Updated last month
- Metrics for spiking neural networks based on torchmetrics☆13Updated 2 years ago
- Notebooks and code for Neuromorphic Hardware Workshop at ISFPGA 2024.☆65Updated last year
- Quantization-aware training with spiking neural networks☆51Updated 3 years ago
- Hyperdimensional Computing for Electromyography-based Hand Gesture Recognition☆18Updated 8 years ago
- Conversion from CNNs to SNNs using Tensorflow-Keras☆39Updated last year
- ReckOn: A Spiking RNN Processor Enabling On-Chip Learning over Second-Long Timescales - HDL source code and documentation.☆92Updated 3 years ago
- Jupyter notebook examples on image classification with quantized neural networks☆71Updated 5 years ago
- A machine learning library for spiking neural networks. Supports training with both torch and jax pipelines, and deployment to neuromorph…☆76Updated 2 weeks ago
- Run Nengo models on Intel's Loihi chip☆39Updated 10 months ago
- Code used in the paper “Nonideality-Aware Training for Accurate and Robust Low-Power Memristive Neural Networks”☆14Updated 2 years ago
- Deep SNNs with various neural coding methods (rate, phase, burst, TTFS)☆11Updated 3 years ago
- FPGA Design of a Spiking Neural Network.☆46Updated last year
- Framework for radix encoded SNN on FPGA☆18Updated 4 years ago
- ☆20Updated 3 years ago
- IEEE Transactions on Circuits and Systems I: Efficient FPGA Implementations of Pair and Triplet-based STDP for Neuromorphic Architectures☆29Updated 6 years ago
- This Pytorch-based framework demonstrates a sentiment analysis task in the IMDB movie reviews dataset using an SNN with a statistic memri…☆24Updated 3 years ago
- Interactive Tutorials on Training Spiking Neural Network With Backprop☆54Updated 4 years ago
- Benchmark harness and baseline results for the NeuroBench algorithm track.☆104Updated last month
- ☆30Updated 6 years ago
- ☆91Updated 5 years ago
- Repository collecting papers about neuromorphic hardware, such as ASIC and FPGA implementations of SNNs and stuff.☆204Updated 2 years ago
- Bring your AI to the Edge - Starting from building the ML model to the selection of the target platform to the optimization and implement…☆52Updated 3 years ago
- SSTDP is a efficient spiking neural network training framework, which is contributed by Fangxin Liu and Wenbo Zhao.☆37Updated 4 years ago
- This repository will host models, modules, algorithms and applications developed by the INRC Community to run on the Intel Loihi Platform…☆83Updated 2 years ago