wangyang24's Stars
yoshitomo-matsubara/torchdistill
A coding-free framework built on PyTorch for reproducible deep learning studies. 🏆25 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.
brain-intelligence-lab/temporal_efficient_training
Code for temporal efficient training
Event-AHU/EventVOT_Benchmark
[CVPR-2024] The First High Definition (HD) Event based Visual Object Tracking Benchmark Dataset
fangwei123456/spikingjelly
SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.
haitongli/knowledge-distillation-pytorch
A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility
miccunifi/NEFER
[CVPR 2023] NEFER a Dataset for Neuromorphic Event-based Facial Expression Recognition
SensorsINI/v2e
V2E: From video frames to DVS events
Ikarosy/Gated-LIF
GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks, NeurIPS 2022 Poster
tub-rip/event_based_optical_flow
The official implementation of "Secrets of Event-based Optical Flow" (ECCV2022 Oral and IEEE T-PAMI 2024)
uzh-rpg/rpg_asynet
Code for the paper "Event-based Asynchronous Sparse Convolutional Networks" (ECCV, 2020).
kamata1729/FullySpikingVAE
Official implementation of Fully Spiking Variational Autoencoder [AAAI2022]
marooncn/navbot
Using RGB Image as Visual Input for Mapless Robot Navigation
Acmece/rl-collision-avoidance
Implementation of the paper "Towards Optimally Decentralized Multi-Robot Collision Avoidance via Deep Reinforcement Learning"
Intelligent-Computing-Lab-Yale/Rate-vs-Direct
[ICASSP2022] RATE CODING OR DIRECT CODING: WHICH ONE IS BETTER FOR ACCURATE, ROBUST, and ENERGY-EFFICIENT SPIKING NEURAL NETWORKS
Intelligent-Computing-Lab-Yale/BNTT-Batch-Normalization-Through-Time
BNTT - Frontiers in Neuroscience (2021)
IGITUGraz/LSNN-official
Long short-term memory Spiking Neural Networks
hewh16/SNNs-RNNs
The code associated with Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences.
spcebn/Spiking-Inception
Squirtle-gpj/STCA-DSNN
This repo is the implementation of the spatio-temporal credit assignment (STCA) algorithm for training deep spiking neural networks.
stonezwr/ST-RSBP
albertopolito/CarSNN
Implementation of CarSNN: An Efficient Spiking Neural Network for Event-Based Autonomous Cars on the Loihi Neuromorphi
peter-u-diehl/stdp-mnist
thomasaimondy/Motif-SNN
AlbertoSabater/EventTransformer
Event Transformer. A sparse-aware solution for efficient event data processing
Jee-King/CVPR2022_STNet
EventVisionLibrary/momaku
Intelligent-Computing-Lab-Yale/Neural-Architecture-Search-for-Spiking-Neural-Networks
Neural Architecture Search for Spiking Neural Networks, ECCV2022
numenta/htmpapers
Numenta published papers code and data
byin-cwi/Efficient-spiking-networks
Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT
Gumpest/DVS-gestureRecognition
Official implementation of paper "Razor SNN: Efficient Spiking Neural Network with Temporal Embeddings", ICANN 2023.