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SciPy
Created by Travis Oliphant, Pearu Peterson, Eric Jones
- Repository
- scipy/scipy
- Website
- www.scipy.org
- Wikipedia
- 维基百科
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SciKitsPython
SciPy (pronounced “Sigh Pie”) is a Python-based ecosystem of open source software for mathematics, science, and engineering.
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
Open Machine Learning Course
🍊 📊 💡 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。
🎚️ Open Source Audio Matching and Mastering
Python audio and music signal processing library
Up to 200x Faster Dot Products & Similarity Metrics — for Python, Rust, C, JS, and Swift, supporting f64, f32, f16 real & complex, i8, and bit vectors using SIMD for both AVX2, AVX-512, NEON, SVE, & SVE2 📐
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.
General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
Human-detection-and-Tracking
Overview of the peaks dectection algorithms available in Python
Processing and gridding spatial data, machine-learning style