Alternatives and similar repositories for pop-spiking-deep-rl

Users that are interested in pop-spiking-deep-rl are comparing it to the libraries listed below

• BSVogler / SNN-RL
  Reinforcement learning framework for spiking neural network actors with R-STDP for the master's thesis "Training Spiking Neural Networks …
  ☆20Updated 3 years ago
• combra-lab / spiking-ddpg-mapless-navigation
  Spiking-DDPG trains an SNN for energy-efficient mapless navigation on Intel's Loihi neuromorphic processor.
  ☆75Updated 4 years ago
• mahmoudakl / dsrl
  Deep Spiking Reinforcement Learning
  ☆23Updated 2 years ago
• vhris / Deep-Spiking-Q-Networks
  Implementation of spiking DQN training using different conversion techniques and backpropagation with surrogate gradients employed on the…
  ☆11Updated 2 years ago
• thomasaimondy / SBP
  The biologically plausible self backpropagation on SNNs and ANNs
  ☆12Updated 4 years ago
• lyh983012 / ES-imagenet-master
  code for generating data set ES-ImageNet with corresponding training code
  ☆32Updated last year
• AptX395 / Deep-Spiking-Q-Networks
  The source code of paper Human-Level Control through Directly-Trained Deep Spiking Q-Networks.
  ☆13Updated 2 years ago
• maael / SpikingNeuralNetwork
  A python implementation of a spiking neural network with STDP and Reinforcement learning methods
  ☆132Updated 8 years ago
• EduardoRosLab / EDLUT_BAXTER
  Cerebellar-SNN control of a Baxter robot. The repository includes EDLUT simulator source code, the ROS package to perform a closed-loop c…
  ☆17Updated 3 years ago
• surrogate-gradient-learning / pytorch-lif-autograd
  ☆38Updated 3 years ago
• Dengyu-Wu / neuromorphics-daily-arxiv
  Neuromorphic paper list, automatically updating everyday at 8:00 am GMT.
  ☆48Updated this week
• anilkagak2 / FPTT
  Training Recurrent Neural Networks via Forward Propagation Through Time
  ☆42Updated 4 years ago
• asneha213 / spiking-agent-RL
  Reinforcement learning with a network of spiking agents
  ☆21Updated 5 years ago
• IbrahimYang / Hybrid-neural-networks
  ☆40Updated last year
• Squirtle-gpj / STCA-DSNN
  This repo is the implementation of the spatio-temporal credit assignment （STCA） algorithm for training deep spiking neural networks.
  ☆28Updated 6 years ago
• microsoft / event-vae-rl
  Visuomotor policies from event-based cameras through representation learning and reinforcement learning. Accompanies our paper: https://a…
  ☆57Updated 2 years ago
• tavanaei / Spiking-CNN
  Spiking Convolutional Neural Networks
  ☆68Updated 6 years ago
• IGITUGraz / eligibility_propagation
  ☆98Updated last year
• lyh983012 / SNN-ANN-Pretrain
  official pytorch implements for the experiments of paper "Rethinking Pretraining as a Bridge from ANNs to SNNs"
  ☆11Updated last year
• IGITUGraz / LSNN-official
  Long short-term memory Spiking Neural Networks
  ☆107Updated 5 years ago
• dodo47 / SpikE
  Code and data to the publication "SpikE: spike-based embeddings for multi-relational graph data".
  ☆14Updated 2 years ago
• neuromorphs / l2race
  Learning to race challenge for 2020 workshop
  ☆14Updated 3 years ago
• nmi-lab / decolle-public
  ☆46Updated 3 years ago
• pkuxmq / OTTT-SNN
  [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks
  ☆65Updated last year
• genn-team / ml_genn
  A library for deep learning with Spiking Neural Networks (SNN).
  ☆35Updated this week
• kamata1729 / FullySpikingVAE
  Official implementation of Fully Spiking Variational Autoencoder [AAAI2022]
  ☆73Updated 2 years ago
• XDUSPONGE / SNN_benchmark
  ☆255Updated 4 years ago
• kclip / snn
  Code for training binary and WTA SNNs
  ☆17Updated 3 years ago
• sujay-pandit / spiking-neural-networks-mnist-classification
  Pure python implementation of unsupervised MNIST classification using Spiking Neural Networks (using STDP)
  ☆31Updated 3 years ago
• NeuromorphicComputing / STPN
  ☆30Updated 2 years ago