Theory of digital signal processing (DSP): signals, filtration (IIR, FIR, CIC, MAF), transforms (FFT, DFT, Hilbert, Z-transform) etc.
GPL-3.0 License
Technical Analysis Library using Pandas and Numpy
机器学习教程,本教程包含基于numpy、sklearn与tensorflow机器学习,也会包含利用spark、flink加快模型训练等用法。本着能够较全的引导读者入门机器学习。
Fast data visualization and GUI tools for scientific / engineering applications
Python实用教程,包括:Python基础,Python高级特性,面向对象编程,多线程,数据库,数据科学,Flask,爬虫开发教程。
High-Performance Symbolic Regression in Python and Julia
Material for a 24 hours course on Scientific Python
PyTorch tutorials, examples and some books I found 【不定期更新】整理的PyTorch 最新版教程、例子和书籍
splearn: package for signal processing and machine learning with Python. Contains tutorials on un...
pure-Python HistFactory implementation with tensors and autodiff
Source code tree of Duyu Audio Processor Core. Based on Numpy, Scipy, Sonic Library and FFmpeg. I...
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Ka...
Zounds is a dataflow library for building directed acyclic graphs that transform audio. It uses t...
Control Engineering with Python
This repository helps you understand python from the scratch.
A Python package for software-defined radio