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python library to design chips (Photonics, Analog, Quantum, MEMs, ...), objects for 3D printing or PCBs.
Simulate optical communications systems with Python.
A Python DSP framework for optical communications, accelerated in CPU/GPU, differentiate, vectorize, and more, powered by JAX.
GNU Radio – the Free and Open Software Radio Ecosystem
通过可直接运行的代码示例讲解 PyQt 5 常用基础控件。附学习资源、demo分享。
Desktop GUI applications to show Butterworth filtration graph of the sum of sinusoidal signals with bandwidth and bandpass frequencies using Python 3.7 with PyQT5 graphical modul. The appliction al…
Desktop application using PyQt5 for Curve fitting and interpolation.
Python GUI Application, visualizes signals across multiple channels and analyzes their frequency spectrum
A Simple Mathematical Tool for Plotting Simple Equations Using Python and PyQt5 GUI Components
A PyQt5 app for reading, editing and plotting .csv files. The plots can also be saved as .png image.
Embedding matplotlib plot on PyQt5 GUI!
Python implementation of LFSR and Berlekamp-Massey algorithm.
Open-source high-performance RISC-V processor
Must-have verilog systemverilog modules
嵌入式，计算机常用电子书籍整理，并且附带下载链接，涵盖：ARM体系与架构，C/C++语言，汇编语言，操作系统，计算机网络，计算组成原理，Linux驱动，Linux内核，单片机开发，程序员认知成长，笔试面试技巧等书籍。长期更新中，欢迎star~
source code for Symbol Timing and Carrier Frequency Recovery Based on Entropy Minimization. IEEE Access 2018.
Simple model of BPSK, QPSK & 8QAM Modulator and Demodulator in MATLAB.
Simulation of the timing recovery section of a 4-QPSK modem using a complex base band modulator for an output symbol rate of 100 kHz.
Some Python functions for simulating laser pulses, in particular, a solver for the generalized nonlinear Schrodinger equation (GNLSE)
Image-to-Image Translation in PyTorch
PyTorch implementation of "Image-to-Image Translation Using Conditional Adversarial Networks".
TensorFlow implementation of "Image-to-Image Translation Using Conditional Adversarial Networks".
PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"
A collection of various deep learning architectures, models, and tips
⚡机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归
