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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
This project discusses the design of an 8-bit asynchronous successive approximation register (SAR) analog-to-digital converter (ADC) implemented in 45nm CMOS technology.
Must-have verilog systemverilog modules
fast BN
Code for "Convolutional spiking neural networks (SNN) for spatio-temporal feature extraction" paper
The CyNAPSE Neuromorphic Accelerator: A Digital Spiking neural network accelerator written in fully synthesizable verilog HDL
opensouce RISC-V cpu core implemented in Verilog from scratch in one night!
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.
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 is a GPU-enhanced Neuronal Network simulation environment based on code generation for Nvidia CUDA.
A Behavior-Level Modeling Tool for Memristor-based Neuromorphic Computing Systems
Models and examples built with TensorFlow
Learn about the Neumorphic engineering process of creating large-scale integration (VLSI) systems containing electronic analog circuits to mimic neuro-biological architectures.
[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 -- RISC-V Assembler and Runtime Simulator
Tutorials and implementations for "Self-normalizing networks"
The code associated with Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences.
Pure python implementation of SNN
Code supporting Suarez et al., 2021 "Learning function from structure in neuromorphic networks". ()
An Open Source Machine Learning Framework for Everyone
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 Tutorial for Time Series Prediction
Structured clustering for memristive crossbar based neuromorphic architectures
The model code for the Verhulst, Altoè, Vasilkov 2018 Hearing Research publication
Extensible FPGA control platform
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.