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Repository collecting papers about neuromorphic hardware, such as ASIC and FPGA implementations of SNNs and stuff.
Simulation of spiking neural networks (SNNs) using PyTorch.
The codes and artifacts associated with our MICRO'22 paper titled: "Adaptable Butterfly Accelerator for Attention-based NNs via Hardware and Algorithm Co-design"
Generator of verilog description for FPGA MobileNet implementation
This is originally a collection of papers on neural network accelerators. Now it's more like my selection of research on deep learning and computer architecture.
List of open source neuromorphic projects: SNN training frameworks, DVS handling routines and so on.
A three-layer LIF neuron SNN accelerator. The first layer is the input layer and has 784 neurons, that receive the encoded spikes. The second layer is the hidden layer and has 100 neurons; the last layer is the output layer with 10 neurons.
snn hadrware simulator
[FPL 2021] SyncNN: Evaluating and Accelerating Spiking Neural Networks on FPGAs.
verilog实现TPU中的脉动阵列计算卷积的module
Verilog Generator of Neural Net Digit Detector for FPGA
使用python脚本自动生成全连接网络, https://www.youtube.com/watch?v=3z_Eh3PSXKk
郑大健康状况上报平台脚本
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Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
China tencent open source team.