lab-emi / FF-Algorithms
Hinton's Forward-Forward Algorithm Implementation PyTorch
☆12Updated 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:
- ☆45Updated 2 years ago
- Benchmark harness and baseline results for the NeuroBench algorithm track.☆78Updated last week
- SSTDP is a efficient spiking neural network training framework, which is contributed by Fangxin Liu and Wenbo Zhao.☆34Updated 3 years ago
- FeedForward Propagation Through Time on Spiking Neural Network (SNNs)☆53Updated 2 years ago
- PyTorch implementation of the eligibility propagation (e-prop) learning algorithm.☆51Updated 3 years ago
- ☆33Updated last year
- ☆76Updated last year
- Conversion from CNNs to SNNs using Tensorflow-Keras☆36Updated last year
- Threshold annealing in binarized spiking neural networks☆16Updated 2 years ago
- ☆54Updated 2 years ago
- [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks☆60Updated last year
- Repository for the master thesis titled "Local Unsupervised Learning of Multimodal Event-Based Data with Spiking Neural Networks", by Jul…☆23Updated 2 years ago
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆100Updated 4 years ago
- GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks, NeurIPS 2022 Poster☆51Updated 2 years ago
- ☆51Updated last year
- Collect important papers about snn☆31Updated 3 years ago
- Quantization-aware training with spiking neural networks☆40Updated 3 years ago
- STSC-SNN: Spatio-Temporal Synaptic Connection with temporal convolution and attention for spiking neural networks☆22Updated 2 years ago
- Deep Residual Learning in Spiking Neural Networks☆165Updated 2 years ago
- Offical Implementation of "CLIF: Complementary Leaky Integrate-and-Fire Neuron for Spiking Neural Networks" (ICML 2024 spotlight)☆18Updated 3 months ago
- ☆44Updated last year
- Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks☆107Updated 2 years ago
- Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT☆81Updated 2 years ago
- Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks☆33Updated 3 years ago
- A simple from scratch implementation of a Spiking-Neural-Network with STDP in Python which is beeing trained on MNIST.☆39Updated 8 months ago
- STBP is a way to train SNN with datasets by Backward propagation.Using this Repositories allows you to train SNNS with STBP and quantize …☆28Updated 3 years ago
- Reimplementation of the paper "STDP-based spiking deep convolutional neural networks for object recognition"☆13Updated last year
- Membrane Potential Batch Normalization for Spiking Neural Networks☆19Updated last year
- Interactive Tutorials on Training Spiking Neural Network With Backprop☆35Updated 3 years ago
- Implementation of the paper Keys to Accurate Feature Extraction Using Residual Spiking Neural Networks☆29Updated last year