lab-emi / FF-AlgorithmsLinks
Hinton's Forward-Forward Algorithm Implementation PyTorch
☆13Updated last year
Alternatives and similar repositories for FF-Algorithms
Users that are interested in FF-Algorithms are comparing it to the libraries listed below
Sorting:
- Benchmark harness and baseline results for the NeuroBench algorithm track.☆84Updated last week
- SSTDP is a efficient spiking neural network training framework, which is contributed by Fangxin Liu and Wenbo Zhao.☆35Updated 3 years ago
- ☆55Updated 2 years ago
- Quantization-aware training with spiking neural networks☆44Updated 3 years ago
- ☆36Updated last year
- PyTorch implementation of the eligibility propagation (e-prop) learning algorithm.☆53Updated 3 years ago
- Repository collecting papers about neuromorphic hardware, such as ASIC and FPGA implementations of SNNs and stuff.☆174Updated last year
- Neuromorphic Intermediate Representation reference implementation☆118Updated last week
- ReckOn: A Spiking RNN Processor Enabling On-Chip Learning over Second-Long Timescales - HDL source code and documentation.☆85Updated 3 years ago
- Neural Architecture Search for Spiking Neural Networks, ECCV2022☆68Updated 3 years ago
- [NeurIPS 2024] Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagation☆17Updated 6 months ago
- FeedForward Propagation Through Time on Spiking Neural Network (SNNs)☆55Updated 2 years ago
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆101Updated 4 years ago
- Pytorch Implementation of Spiking Neural Networks Calibration, ICML 2021☆87Updated last year
- PyTorch helper module to translate to and from NIR☆13Updated last week
- Deep Learning library for Lava☆163Updated last month
- CS4362 - Hardware Description Languages. Implemented SNN on an FPGA for real-time image processing using VHDL☆19Updated last year
- ☆24Updated 5 months ago
- A list of neuromorphic software projects☆237Updated last week
- [FPL 2021] SyncNN: Evaluating and Accelerating Spiking Neural Networks on FPGAs.☆57Updated 3 years ago
- A simple from scratch implementation of a Spiking-Neural-Network with STDP in Python which is beeing trained on MNIST.☆42Updated 10 months ago
- This project contains code for the paper titled "SpikingBERT: Distilling BERT to Train Spiking Language Models Using Implicit Differentia…☆24Updated last year
- Notebooks and code for Neuromorphic Hardware Workshop at ISFPGA 2024.☆50Updated last year
- Conversion from CNNs to SNNs using Tensorflow-Keras☆37Updated last year
- Securing Deep Spiking Neural Networks against Adversarial Attacks through Inherent Structural Parameters☆12Updated 2 years ago
- Collect important papers about snn☆32Updated 4 years ago
- ☆45Updated 3 years ago
- MINT, Multiplier-less INTeger Quantization for Energy Efficient Spiking Neural Networks, ASP-DAC 2024, Nominated for Best Paper Award☆14Updated last year
- BNTT - Frontiers in Neuroscience (2021)☆48Updated 3 years ago
- Threshold annealing in binarized spiking neural networks☆16Updated 3 years ago