Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5

SciPy library main repository

Parallel computing with task scheduling

Open Machine Learning Course

NumPy & SciPy for GPU

中文 Python 笔记

Python library for audio and music analysis

🍊 📊 💡 Orange: Interactive data analysis

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。

Python audio and music signal processing library

🎚️ Open Source Audio Matching and Mastering

Non-Linear Least Squares Minimization, with flexible Parameter settings, based on scipy.optimize, and with many additional classes and methods for curve fitting.

Theory of digital signal processing (DSP): signals, filtration (IIR, FIR, CIC, MAF), transforms (FFT, DFT, Hilbert, Z-transform) etc.

Human-detection-and-Tracking

General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python

Overview of the peaks dectection algorithms available in Python

Up to 200x Faster Inner Products and Vector Similarity — for Python, JavaScript, Rust, and C, supporting f64, f32, f16 real & complex, i8, and binary vectors using SIMD for both x86 AVX2 & AVX-512 and Arm NEON & SVE 📐

Processing and gridding spatial data, machine-learning style

A friend to fetch your data files