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 numpy-like fast vector module for micropython, circuitpython, and their derivatives
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).
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.