SciPy (pronounced “Sigh Pie”) is a Python-based ecosystem of open source software for mathematics, science, and engineering.
Created by Travis Oliphant, Pearu Peterson, Eric Jones
#计算机科学#Python 数据科学学习笔记:深度学习 (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, 大数据 (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python 核心, AWS, Linux命令
#计算机科学#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
Parallel computing with task scheduling
翻译 - 任务调度的并行计算
#算法刷题#Open Machine Learning Course
翻译 - 开放式机器学习课程
#计算机科学#🍊 📊 💡 Orange: Interactive data analysis
翻译 - 🍊 📊 💡 Orange:交互式数据分析
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
翻译 - 🎚️开源音频匹配和母带处理
#计算机科学#Python audio and music signal processing library
#向量搜索引擎#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, & S...
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.
翻译 - 数字信号处理(DSP)理论:信号,滤波(IIR,FIR,CIC,MAF),变换(FFT,DFT,希尔伯特,Z变换)等。
#计算机科学#General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
#人脸识别#Human-detection-and-Tracking
Overview of the peaks dectection algorithms available in Python
#计算机科学#Processing and gridding spatial data, machine-learning style