Po0ria

Po0ria's Stars

• paperswithcode/releasing-research-code

  Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)

  2.6k713

• jeshraghian/snntorch

  Deep and online learning with spiking neural networks in Python

  Language:Python1.2k212

• fangwei123456/Parametric-Leaky-Integrate-and-Fire-Spiking-Neuron

  Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks

  Language:Python9025

• nabk89/AutoSNN

  Official code of "AutoSNN: Towards Energy-Efficient Spiking Neural Networks," ICML22

  Language:Python172

• loiccordone/sparse-spiking-neural-networks

  Repository code for the IJCNN 2021 paper "Learning from Event Cameras with Sparse Spiking Convolutional Neural Networks"

  Language:Python155

• neuralmagic/sparsezoo

  Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes

  Language:Python36324

• Accelergy-Project/timeloop-accelergy-exercises

  Exercises for exploring the Fibertree, Timeloop and Accelergy tools

  Language:Jupyter Notebook7729

• neurosim/3D_NeuroSim_V1.0

  Benchmark framework of 3D integrated CIM accelerators for popular DNN inference, support both monolithic and heterogeneous 3D integration

  Language:C++199

• neurosim/DNN_NeuroSim_V1.3

  Benchmark framework of compute-in-memory based accelerators for deep neural network (inference engine focused)

  Language:C++6236

• Accelergy-Project/processing-in-memory-design

  235