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9ec-

Code samples from Teach Yourself C++ In One Hour a Day, Ninth Edition by Siddhartha Rao. Released in 2022 this book uses nearly 300 code samples to explain the most modern C++ language features including C++20 and C++23

analog-design-of-asynchronous-sar-adc

This project discusses the design of an 8-bit asynchronous successive approximation register (SAR) analog-to-digital converter (ADC) implemented in 45nm CMOS technology.

basic_verilog

Must-have verilog systemverilog modules

cifar10-fast

fast BN

conv_snn

Code for "Convolutional spiking neural networks (SNN) for spatio-temporal feature extraction" paper

cyberrio_test

cynapsev11

The CyNAPSE Neuromorphic Accelerator: A Digital Spiking neural network accelerator written in fully synthesizable verilog HDL

darkriscv

opensouce RISC-V cpu core implemented in Verilog from scratch in one night!

deep-learning-with-tensorflow-book

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

fokker-planck-based-spike-rate-models

Rate model implementations for (adaptive) integrate-and-fire neurons based on the Fokker-Planck equation: (i) numerical (finite volume) solution of the full FP PDE, (ii) low-dim. ODE via spectral decomposition of the FP operator, (iii) low-dim. ODE via a linear-nonlinear cascade semianalytically fit to the FP model.

genn

GeNN is a GPU-enhanced Neuronal Network simulation environment based on code generation for Nvidia CUDA.

mnsim-2.0

A Behavior-Level Modeling Tool for Memristor-based Neuromorphic Computing Systems

models

Models and examples built with TensorFlow

neuromorphic-computing-guide

Learn about the Neumorphic engineering process of creating large-scale integration (VLSI) systems containing electronic analog circuits to mimic neuro-biological architectures.

neuromorphicdnn

puma-simulator

[ASPLOS 2019] PUMA-simulator provides a detailed simulation model of a dataflow architecture built with NVM (non-volatile memory), and runs ML models compiled using the puma compiler.

rars

RARS -- RISC-V Assembler and Runtime Simulator

snns

Tutorials and implementations for "Self-normalizing networks"

snns-rnns

The code associated with Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences.

spiking-neural-network

Pure python implementation of SNN

suarez_neuromorphicnetworks

Code supporting Suarez et al., 2021 "Learning function from structure in neuromorphic networks". ()

tensorflow

An Open Source Machine Learning Framework for Everyone

tensorflow-2.x-tutorials

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。

tensorflow-tutorials-for-time-series

TensorFlow Tutorial for Time Series Prediction

trannsformers

Structured clustering for memristive crossbar based neuromorphic architectures

verhulstetal2018model

The model code for the Verhulst, Altoè, Vasilkov 2018 Hearing Research publication

xfcp

Extensible FPGA control platform

zhu_machine_learning

zhu_trainable_activation_function