There are 168 repositories under scipy topic.
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
Open Machine Learning Course
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
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
A series of Jupyter notebooks and python files which stream audio from a microphone using pyaudio, then processes it.
Gcc for termux with fortran scipy etc... Use apt for newest updates instructions in README.txt
A complete docker package for django which is easy to understand and can be deployed anywhere(supports Data Science related libraries like numpy, scipy etc).
a numpy-like fast vector module for micropython, circuitpython, and their derivatives
Tutoriales de Python para el análisis de datos en el curso IE0405 - "Modelos Probabilísticos de Señales y Sistemas" de la Universidad de Costa Rica.
Python package to accelerate the sparse matrix multiplication and top-n similarity selection
中文版scipy-lecture-notes. 网站下线, 以离线HTML的形式继续更新, 见release.
A workshop for scientific computing in Python. ( December 2017 )
fit piecewise linear data for a specified number of line segments
Remote heart rate detection through Eulerian magnification of face videos
Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Friedman
pure-Python HistFactory implementation with tensors and autodiff
Scientific Computing for Chemists with Python is a free book for teaching basic coding skills to chemists using Python, Jupyter notebooks, and the other Python software. This textbook teaches a variety of Python packages including NumPy, SciPy, matplotlib, pandas, seaborn, nmrglue, SymPy, scikit-image, scikit-learn, and others.